diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/__pycache__/__init__.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/__pycache__/__init__.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..b7645ea3e84a162415c14e1cdf7ff09177375b37 Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/__pycache__/__init__.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/data_foundry_service/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/data_foundry_service/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..a2826e0883cd9be12c8a4f2b6152722cdfbf0e31 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/data_foundry_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import DataFoundryServiceClient +from .async_client import DataFoundryServiceAsyncClient + +__all__ = ( + "DataFoundryServiceClient", + "DataFoundryServiceAsyncClient", +) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/data_foundry_service/async_client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/data_foundry_service/async_client.py new file mode 100644 index 0000000000000000000000000000000000000000..54c5d7dd22fa2ebaa800dd227a6d037f15e41d88 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/data_foundry_service/async_client.py @@ -0,0 +1,1115 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging as std_logging +from collections import OrderedDict +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, +) + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.types import data_foundry_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .transports.base import DataFoundryServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import DataFoundryServiceGrpcAsyncIOTransport +from .client import DataFoundryServiceClient + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class DataFoundryServiceAsyncClient: + """Service for generating and preparing datasets for Gen AI + evaluation. + """ + + _client: DataFoundryServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = DataFoundryServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = DataFoundryServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = DataFoundryServiceClient._DEFAULT_ENDPOINT_TEMPLATE + _DEFAULT_UNIVERSE = DataFoundryServiceClient._DEFAULT_UNIVERSE + + common_billing_account_path = staticmethod( + DataFoundryServiceClient.common_billing_account_path + ) + parse_common_billing_account_path = staticmethod( + DataFoundryServiceClient.parse_common_billing_account_path + ) + common_folder_path = staticmethod(DataFoundryServiceClient.common_folder_path) + parse_common_folder_path = staticmethod( + DataFoundryServiceClient.parse_common_folder_path + ) + common_organization_path = staticmethod( + DataFoundryServiceClient.common_organization_path + ) + parse_common_organization_path = staticmethod( + DataFoundryServiceClient.parse_common_organization_path + ) + common_project_path = staticmethod(DataFoundryServiceClient.common_project_path) + parse_common_project_path = staticmethod( + DataFoundryServiceClient.parse_common_project_path + ) + common_location_path = staticmethod(DataFoundryServiceClient.common_location_path) + parse_common_location_path = staticmethod( + DataFoundryServiceClient.parse_common_location_path + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DataFoundryServiceAsyncClient: The constructed client. + """ + sa_info_func = ( + DataFoundryServiceClient.from_service_account_info.__func__ # type: ignore + ) + return sa_info_func(DataFoundryServiceAsyncClient, info, *args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DataFoundryServiceAsyncClient: The constructed client. + """ + sa_file_func = ( + DataFoundryServiceClient.from_service_account_file.__func__ # type: ignore + ) + return sa_file_func(DataFoundryServiceAsyncClient, filename, *args, **kwargs) + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[ClientOptions] = None + ): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return DataFoundryServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> DataFoundryServiceTransport: + """Returns the transport used by the client instance. + + Returns: + DataFoundryServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = DataFoundryServiceClient.get_transport_class + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + DataFoundryServiceTransport, + Callable[..., DataFoundryServiceTransport], + ] + ] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the data foundry service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,DataFoundryServiceTransport,Callable[..., DataFoundryServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport to use. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the DataFoundryServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = DataFoundryServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.DataFoundryServiceAsyncClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.DataFoundryService", + "universeDomain": getattr( + self._client._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._client._transport._credentials).__module__}.{type(self._client._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, "get_cred_info", lambda: None + )(), + } + if hasattr(self._client._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.DataFoundryService", + "credentialsType": None, + } + ), + ) + + async def generate_synthetic_data( + self, + request: Optional[ + Union[data_foundry_service.GenerateSyntheticDataRequest, dict] + ] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> data_foundry_service.GenerateSyntheticDataResponse: + r"""Generates synthetic data based on the provided + configuration. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_generate_synthetic_data(): + # Create a client + client = aiplatform_v1.DataFoundryServiceAsyncClient() + + # Initialize request argument(s) + task_description = aiplatform_v1.TaskDescriptionStrategy() + task_description.task_description = "task_description_value" + + output_field_specs = aiplatform_v1.OutputFieldSpec() + output_field_specs.field_name = "field_name_value" + + request = aiplatform_v1.GenerateSyntheticDataRequest( + task_description=task_description, + location="location_value", + count=553, + output_field_specs=output_field_specs, + ) + + # Make the request + response = await client.generate_synthetic_data(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GenerateSyntheticDataRequest, dict]]): + The request object. Request message for + DataFoundryService.GenerateSyntheticData. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.GenerateSyntheticDataResponse: + The response containing the generated + data. + + """ + # Create or coerce a protobuf request object. + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, data_foundry_service.GenerateSyntheticDataRequest): + request = data_foundry_service.GenerateSyntheticDataRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.generate_synthetic_data + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("location", request.location),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[ + self._client._transport.test_iam_permissions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self) -> "DataFoundryServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +__all__ = ("DataFoundryServiceAsyncClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/data_foundry_service/client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/data_foundry_service/client.py new file mode 100644 index 0000000000000000000000000000000000000000..bc0511191cccfe29ebba52efe1d8fb943ca4cb93 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/data_foundry_service/client.py @@ -0,0 +1,1603 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from http import HTTPStatus +import json +import logging as std_logging +import os +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, + cast, +) +import warnings + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + +from google.cloud.aiplatform_v1.types import data_foundry_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .transports.base import DataFoundryServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import DataFoundryServiceGrpcTransport +from .transports.grpc_asyncio import DataFoundryServiceGrpcAsyncIOTransport +from .transports.rest import DataFoundryServiceRestTransport + +try: + from .transports.rest_asyncio import AsyncDataFoundryServiceRestTransport + + HAS_ASYNC_REST_DEPENDENCIES = True +except ImportError as e: # pragma: NO COVER + HAS_ASYNC_REST_DEPENDENCIES = False + ASYNC_REST_EXCEPTION = e + + +class DataFoundryServiceClientMeta(type): + """Metaclass for the DataFoundryService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + + _transport_registry = ( + OrderedDict() + ) # type: Dict[str, Type[DataFoundryServiceTransport]] + _transport_registry["grpc"] = DataFoundryServiceGrpcTransport + _transport_registry["grpc_asyncio"] = DataFoundryServiceGrpcAsyncIOTransport + _transport_registry["rest"] = DataFoundryServiceRestTransport + if HAS_ASYNC_REST_DEPENDENCIES: # pragma: NO COVER + _transport_registry["rest_asyncio"] = AsyncDataFoundryServiceRestTransport + + def get_transport_class( + cls, + label: Optional[str] = None, + ) -> Type[DataFoundryServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if ( + label == "rest_asyncio" and not HAS_ASYNC_REST_DEPENDENCIES + ): # pragma: NO COVER + raise ASYNC_REST_EXCEPTION + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class DataFoundryServiceClient(metaclass=DataFoundryServiceClientMeta): + """Service for generating and preparing datasets for Gen AI + evaluation. + """ + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "aiplatform.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @staticmethod + def _use_client_cert_effective(): + """Returns whether client certificate should be used for mTLS if the + google-auth version supports should_use_client_cert automatic mTLS enablement. + + Alternatively, read from the GOOGLE_API_USE_CLIENT_CERTIFICATE env var. + + Returns: + bool: whether client certificate should be used for mTLS + Raises: + ValueError: (If using a version of google-auth without should_use_client_cert and + GOOGLE_API_USE_CLIENT_CERTIFICATE is set to an unexpected value.) + """ + # check if google-auth version supports should_use_client_cert for automatic mTLS enablement + if hasattr(mtls, "should_use_client_cert"): # pragma: NO COVER + return mtls.should_use_client_cert() + else: # pragma: NO COVER + # if unsupported, fallback to reading from env var + use_client_cert_str = os.getenv( + "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false" + ).lower() + if use_client_cert_str not in ("true", "false"): + raise ValueError( + "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be" + " either `true` or `false`" + ) + return use_client_cert_str == "true" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DataFoundryServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DataFoundryServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file(filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> DataFoundryServiceTransport: + """Returns the transport used by the client instance. + + Returns: + DataFoundryServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def common_billing_account_path( + billing_account: str, + ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format( + billing_account=billing_account, + ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str, str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path( + folder: str, + ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format( + folder=folder, + ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str, str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path( + organization: str, + ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format( + organization=organization, + ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str, str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path( + project: str, + ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format( + project=project, + ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str, str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path( + project: str, + location: str, + ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format( + project=project, + location=location, + ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str, str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[client_options_lib.ClientOptions] = None + ): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn( + "get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning, + ) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = DataFoundryServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert: + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = DataFoundryServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + return use_client_cert, use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint( + api_override, client_cert_source, universe_domain, use_mtls_endpoint + ): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + _default_universe = DataFoundryServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError( + f"mTLS is not supported in any universe other than {_default_universe}." + ) + api_endpoint = DataFoundryServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = DataFoundryServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format( + UNIVERSE_DOMAIN=universe_domain + ) + return api_endpoint + + @staticmethod + def _get_universe_domain( + client_universe_domain: Optional[str], universe_domain_env: Optional[str] + ) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = DataFoundryServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + + # NOTE (b/349488459): universe validation is disabled until further notice. + return True + + def _add_cred_info_for_auth_errors( + self, error: core_exceptions.GoogleAPICallError + ) -> None: + """Adds credential info string to error details for 401/403/404 errors. + + Args: + error (google.api_core.exceptions.GoogleAPICallError): The error to add the cred info. + """ + if error.code not in [ + HTTPStatus.UNAUTHORIZED, + HTTPStatus.FORBIDDEN, + HTTPStatus.NOT_FOUND, + ]: + return + + cred = self._transport._credentials + + # get_cred_info is only available in google-auth>=2.35.0 + if not hasattr(cred, "get_cred_info"): + return + + # ignore the type check since pypy test fails when get_cred_info + # is not available + cred_info = cred.get_cred_info() # type: ignore + if cred_info and hasattr(error._details, "append"): + error._details.append(json.dumps(cred_info)) + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + DataFoundryServiceTransport, + Callable[..., DataFoundryServiceTransport], + ] + ] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the data foundry service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,DataFoundryServiceTransport,Callable[..., DataFoundryServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the DataFoundryServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast( + client_options_lib.ClientOptions, self._client_options + ) + + universe_domain_opt = getattr(self._client_options, "universe_domain", None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = ( + DataFoundryServiceClient._read_environment_variables() + ) + self._client_cert_source = DataFoundryServiceClient._get_client_cert_source( + self._client_options.client_cert_source, self._use_client_cert + ) + self._universe_domain = DataFoundryServiceClient._get_universe_domain( + universe_domain_opt, self._universe_domain_env + ) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + if CLIENT_LOGGING_SUPPORTED: # pragma: NO COVER + # Setup logging. + client_logging.initialize_logging() + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError( + "client_options.api_key and credentials are mutually exclusive" + ) + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance(transport, DataFoundryServiceTransport) + if transport_provided: + # transport is a DataFoundryServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError( + "When providing a transport instance, " + "provide its credentials directly." + ) + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(DataFoundryServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = ( + self._api_endpoint + or DataFoundryServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint, + ) + ) + + if not transport_provided: + transport_init: Union[ + Type[DataFoundryServiceTransport], + Callable[..., DataFoundryServiceTransport], + ] = ( + DataFoundryServiceClient.get_transport_class(transport) + if isinstance(transport, str) or transport is None + else cast(Callable[..., DataFoundryServiceTransport], transport) + ) + + if "rest_asyncio" in str(transport_init): + unsupported_params = { + "google.api_core.client_options.ClientOptions.credentials_file": self._client_options.credentials_file, + "google.api_core.client_options.ClientOptions.scopes": self._client_options.scopes, + "google.api_core.client_options.ClientOptions.quota_project_id": self._client_options.quota_project_id, + "google.api_core.client_options.ClientOptions.client_cert_source": self._client_options.client_cert_source, + "google.api_core.client_options.ClientOptions.api_audience": self._client_options.api_audience, + } + provided_unsupported_params = [ + name + for name, value in unsupported_params.items() + if value is not None + ] + if provided_unsupported_params: + raise core_exceptions.AsyncRestUnsupportedParameterError( # type: ignore + f"The following provided parameters are not supported for `transport=rest_asyncio`: {', '.join(provided_unsupported_params)}" + ) + self._transport = transport_init( + credentials=credentials, + host=self._api_endpoint, + client_info=client_info, + ) + return + + import google.auth._default # type: ignore + + if api_key_value and hasattr( + google.auth._default, "get_api_key_credentials" + ): + credentials = google.auth._default.get_api_key_credentials( + api_key_value + ) + + # initialize with the provided callable or the passed in class + self._transport = transport_init( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + if "async" not in str(self._transport): + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.DataFoundryServiceClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.DataFoundryService", + "universeDomain": getattr( + self._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._transport._credentials).__module__}.{type(self._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, + "get_cred_info", + lambda: None, + )(), + } + if hasattr(self._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.DataFoundryService", + "credentialsType": None, + } + ), + ) + + def generate_synthetic_data( + self, + request: Optional[ + Union[data_foundry_service.GenerateSyntheticDataRequest, dict] + ] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> data_foundry_service.GenerateSyntheticDataResponse: + r"""Generates synthetic data based on the provided + configuration. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_generate_synthetic_data(): + # Create a client + client = aiplatform_v1.DataFoundryServiceClient() + + # Initialize request argument(s) + task_description = aiplatform_v1.TaskDescriptionStrategy() + task_description.task_description = "task_description_value" + + output_field_specs = aiplatform_v1.OutputFieldSpec() + output_field_specs.field_name = "field_name_value" + + request = aiplatform_v1.GenerateSyntheticDataRequest( + task_description=task_description, + location="location_value", + count=553, + output_field_specs=output_field_specs, + ) + + # Make the request + response = client.generate_synthetic_data(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GenerateSyntheticDataRequest, dict]): + The request object. Request message for + DataFoundryService.GenerateSyntheticData. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.GenerateSyntheticDataResponse: + The response containing the generated + data. + + """ + # Create or coerce a protobuf request object. + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, data_foundry_service.GenerateSyntheticDataRequest): + request = data_foundry_service.GenerateSyntheticDataRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.generate_synthetic_data] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("location", request.location),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def __enter__(self) -> "DataFoundryServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + +__all__ = ("DataFoundryServiceClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/dataset_service/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/dataset_service/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..42f97659ee80ea46abf76cf644e8240d53dc7673 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/dataset_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import DatasetServiceClient +from .async_client import DatasetServiceAsyncClient + +__all__ = ( + "DatasetServiceClient", + "DatasetServiceAsyncClient", +) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/dataset_service/async_client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/dataset_service/async_client.py new file mode 100644 index 0000000000000000000000000000000000000000..46d879d521a5cfb4cceb632c7336a6df62d9a45f --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/dataset_service/async_client.py @@ -0,0 +1,3480 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging as std_logging +from collections import OrderedDict +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, +) + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.services.dataset_service import pagers +from google.cloud.aiplatform_v1.types import annotation +from google.cloud.aiplatform_v1.types import annotation_spec +from google.cloud.aiplatform_v1.types import data_item +from google.cloud.aiplatform_v1.types import dataset +from google.cloud.aiplatform_v1.types import dataset as gca_dataset +from google.cloud.aiplatform_v1.types import dataset_service +from google.cloud.aiplatform_v1.types import dataset_version +from google.cloud.aiplatform_v1.types import dataset_version as gca_dataset_version +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.aiplatform_v1.types import saved_query +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.struct_pb2 as struct_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +from .transports.base import DatasetServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import DatasetServiceGrpcAsyncIOTransport +from .client import DatasetServiceClient + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class DatasetServiceAsyncClient: + """The service that manages Vertex AI Dataset and its child + resources. + """ + + _client: DatasetServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = DatasetServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = DatasetServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = DatasetServiceClient._DEFAULT_ENDPOINT_TEMPLATE + _DEFAULT_UNIVERSE = DatasetServiceClient._DEFAULT_UNIVERSE + + annotation_path = staticmethod(DatasetServiceClient.annotation_path) + parse_annotation_path = staticmethod(DatasetServiceClient.parse_annotation_path) + annotation_spec_path = staticmethod(DatasetServiceClient.annotation_spec_path) + parse_annotation_spec_path = staticmethod( + DatasetServiceClient.parse_annotation_spec_path + ) + data_item_path = staticmethod(DatasetServiceClient.data_item_path) + parse_data_item_path = staticmethod(DatasetServiceClient.parse_data_item_path) + dataset_path = staticmethod(DatasetServiceClient.dataset_path) + parse_dataset_path = staticmethod(DatasetServiceClient.parse_dataset_path) + dataset_version_path = staticmethod(DatasetServiceClient.dataset_version_path) + parse_dataset_version_path = staticmethod( + DatasetServiceClient.parse_dataset_version_path + ) + saved_query_path = staticmethod(DatasetServiceClient.saved_query_path) + parse_saved_query_path = staticmethod(DatasetServiceClient.parse_saved_query_path) + common_billing_account_path = staticmethod( + DatasetServiceClient.common_billing_account_path + ) + parse_common_billing_account_path = staticmethod( + DatasetServiceClient.parse_common_billing_account_path + ) + common_folder_path = staticmethod(DatasetServiceClient.common_folder_path) + parse_common_folder_path = staticmethod( + DatasetServiceClient.parse_common_folder_path + ) + common_organization_path = staticmethod( + DatasetServiceClient.common_organization_path + ) + parse_common_organization_path = staticmethod( + DatasetServiceClient.parse_common_organization_path + ) + common_project_path = staticmethod(DatasetServiceClient.common_project_path) + parse_common_project_path = staticmethod( + DatasetServiceClient.parse_common_project_path + ) + common_location_path = staticmethod(DatasetServiceClient.common_location_path) + parse_common_location_path = staticmethod( + DatasetServiceClient.parse_common_location_path + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DatasetServiceAsyncClient: The constructed client. + """ + sa_info_func = ( + DatasetServiceClient.from_service_account_info.__func__ # type: ignore + ) + return sa_info_func(DatasetServiceAsyncClient, info, *args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DatasetServiceAsyncClient: The constructed client. + """ + sa_file_func = ( + DatasetServiceClient.from_service_account_file.__func__ # type: ignore + ) + return sa_file_func(DatasetServiceAsyncClient, filename, *args, **kwargs) + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[ClientOptions] = None + ): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return DatasetServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> DatasetServiceTransport: + """Returns the transport used by the client instance. + + Returns: + DatasetServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = DatasetServiceClient.get_transport_class + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[str, DatasetServiceTransport, Callable[..., DatasetServiceTransport]] + ] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the dataset service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,DatasetServiceTransport,Callable[..., DatasetServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport to use. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the DatasetServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = DatasetServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.DatasetServiceAsyncClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.DatasetService", + "universeDomain": getattr( + self._client._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._client._transport._credentials).__module__}.{type(self._client._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, "get_cred_info", lambda: None + )(), + } + if hasattr(self._client._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.DatasetService", + "credentialsType": None, + } + ), + ) + + async def create_dataset( + self, + request: Optional[Union[dataset_service.CreateDatasetRequest, dict]] = None, + *, + parent: Optional[str] = None, + dataset: Optional[gca_dataset.Dataset] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Creates a Dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_dataset(): + # Create a client + client = aiplatform_v1.DatasetServiceAsyncClient() + + # Initialize request argument(s) + dataset = aiplatform_v1.Dataset() + dataset.display_name = "display_name_value" + dataset.metadata_schema_uri = "metadata_schema_uri_value" + dataset.metadata.null_value = "NULL_VALUE" + + request = aiplatform_v1.CreateDatasetRequest( + parent="parent_value", + dataset=dataset, + ) + + # Make the request + operation = client.create_dataset(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateDatasetRequest, dict]]): + The request object. Request message for + [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset]. + parent (:class:`str`): + Required. The resource name of the Location to create + the Dataset in. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + dataset (:class:`google.cloud.aiplatform_v1.types.Dataset`): + Required. The Dataset to create. + This corresponds to the ``dataset`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.aiplatform_v1.types.Dataset` A + collection of DataItems and Annotations on them. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, dataset] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.CreateDatasetRequest): + request = dataset_service.CreateDatasetRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if dataset is not None: + request.dataset = dataset + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_dataset + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gca_dataset.Dataset, + metadata_type=dataset_service.CreateDatasetOperationMetadata, + ) + + # Done; return the response. + return response + + async def get_dataset( + self, + request: Optional[Union[dataset_service.GetDatasetRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> dataset.Dataset: + r"""Gets a Dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_dataset(): + # Create a client + client = aiplatform_v1.DatasetServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetDatasetRequest( + name="name_value", + ) + + # Make the request + response = await client.get_dataset(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetDatasetRequest, dict]]): + The request object. Request message for + [DatasetService.GetDataset][google.cloud.aiplatform.v1.DatasetService.GetDataset]. + name (:class:`str`): + Required. The name of the Dataset + resource. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Dataset: + A collection of DataItems and + Annotations on them. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.GetDatasetRequest): + request = dataset_service.GetDatasetRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_dataset + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def update_dataset( + self, + request: Optional[Union[dataset_service.UpdateDatasetRequest, dict]] = None, + *, + dataset: Optional[gca_dataset.Dataset] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_dataset.Dataset: + r"""Updates a Dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_update_dataset(): + # Create a client + client = aiplatform_v1.DatasetServiceAsyncClient() + + # Initialize request argument(s) + dataset = aiplatform_v1.Dataset() + dataset.display_name = "display_name_value" + dataset.metadata_schema_uri = "metadata_schema_uri_value" + dataset.metadata.null_value = "NULL_VALUE" + + request = aiplatform_v1.UpdateDatasetRequest( + dataset=dataset, + ) + + # Make the request + response = await client.update_dataset(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UpdateDatasetRequest, dict]]): + The request object. Request message for + [DatasetService.UpdateDataset][google.cloud.aiplatform.v1.DatasetService.UpdateDataset]. + dataset (:class:`google.cloud.aiplatform_v1.types.Dataset`): + Required. The Dataset which replaces + the resource on the server. + + This corresponds to the ``dataset`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Required. The update mask applies to the resource. For + the ``FieldMask`` definition, see + [google.protobuf.FieldMask][google.protobuf.FieldMask]. + Updatable fields: + + - ``display_name`` + - ``description`` + - ``labels`` + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Dataset: + A collection of DataItems and + Annotations on them. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [dataset, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.UpdateDatasetRequest): + request = dataset_service.UpdateDatasetRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if dataset is not None: + request.dataset = dataset + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.update_dataset + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("dataset.name", request.dataset.name),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_datasets( + self, + request: Optional[Union[dataset_service.ListDatasetsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListDatasetsAsyncPager: + r"""Lists Datasets in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_datasets(): + # Create a client + client = aiplatform_v1.DatasetServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListDatasetsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_datasets(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListDatasetsRequest, dict]]): + The request object. Request message for + [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets]. + parent (:class:`str`): + Required. The name of the Dataset's parent resource. + Format: ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.dataset_service.pagers.ListDatasetsAsyncPager: + Response message for + [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.ListDatasetsRequest): + request = dataset_service.ListDatasetsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_datasets + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListDatasetsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_dataset( + self, + request: Optional[Union[dataset_service.DeleteDatasetRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a Dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_dataset(): + # Create a client + client = aiplatform_v1.DatasetServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteDatasetRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_dataset(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteDatasetRequest, dict]]): + The request object. Request message for + [DatasetService.DeleteDataset][google.cloud.aiplatform.v1.DatasetService.DeleteDataset]. + name (:class:`str`): + Required. The resource name of the Dataset to delete. + Format: + ``projects/{project}/locations/{location}/datasets/{dataset}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.DeleteDatasetRequest): + request = dataset_service.DeleteDatasetRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_dataset + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def import_data( + self, + request: Optional[Union[dataset_service.ImportDataRequest, dict]] = None, + *, + name: Optional[str] = None, + import_configs: Optional[MutableSequence[dataset.ImportDataConfig]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Imports data into a Dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_import_data(): + # Create a client + client = aiplatform_v1.DatasetServiceAsyncClient() + + # Initialize request argument(s) + import_configs = aiplatform_v1.ImportDataConfig() + import_configs.gcs_source.uris = ['uris_value1', 'uris_value2'] + import_configs.import_schema_uri = "import_schema_uri_value" + + request = aiplatform_v1.ImportDataRequest( + name="name_value", + import_configs=import_configs, + ) + + # Make the request + operation = client.import_data(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ImportDataRequest, dict]]): + The request object. Request message for + [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData]. + name (:class:`str`): + Required. The name of the Dataset resource. Format: + ``projects/{project}/locations/{location}/datasets/{dataset}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + import_configs (:class:`MutableSequence[google.cloud.aiplatform_v1.types.ImportDataConfig]`): + Required. The desired input + locations. The contents of all input + locations will be imported in one batch. + + This corresponds to the ``import_configs`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.ImportDataResponse` Response message for + [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name, import_configs] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.ImportDataRequest): + request = dataset_service.ImportDataRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if import_configs: + request.import_configs.extend(import_configs) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.import_data + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + dataset_service.ImportDataResponse, + metadata_type=dataset_service.ImportDataOperationMetadata, + ) + + # Done; return the response. + return response + + async def export_data( + self, + request: Optional[Union[dataset_service.ExportDataRequest, dict]] = None, + *, + name: Optional[str] = None, + export_config: Optional[dataset.ExportDataConfig] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Exports data from a Dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_export_data(): + # Create a client + client = aiplatform_v1.DatasetServiceAsyncClient() + + # Initialize request argument(s) + export_config = aiplatform_v1.ExportDataConfig() + export_config.gcs_destination.output_uri_prefix = "output_uri_prefix_value" + + request = aiplatform_v1.ExportDataRequest( + name="name_value", + export_config=export_config, + ) + + # Make the request + operation = client.export_data(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ExportDataRequest, dict]]): + The request object. Request message for + [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData]. + name (:class:`str`): + Required. The name of the Dataset resource. Format: + ``projects/{project}/locations/{location}/datasets/{dataset}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + export_config (:class:`google.cloud.aiplatform_v1.types.ExportDataConfig`): + Required. The desired output + location. + + This corresponds to the ``export_config`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.ExportDataResponse` Response message for + [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name, export_config] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.ExportDataRequest): + request = dataset_service.ExportDataRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if export_config is not None: + request.export_config = export_config + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.export_data + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + dataset_service.ExportDataResponse, + metadata_type=dataset_service.ExportDataOperationMetadata, + ) + + # Done; return the response. + return response + + async def create_dataset_version( + self, + request: Optional[ + Union[dataset_service.CreateDatasetVersionRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + dataset_version: Optional[gca_dataset_version.DatasetVersion] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Create a version from a Dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_dataset_version(): + # Create a client + client = aiplatform_v1.DatasetServiceAsyncClient() + + # Initialize request argument(s) + dataset_version = aiplatform_v1.DatasetVersion() + dataset_version.metadata.null_value = "NULL_VALUE" + + request = aiplatform_v1.CreateDatasetVersionRequest( + parent="parent_value", + dataset_version=dataset_version, + ) + + # Make the request + operation = client.create_dataset_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateDatasetVersionRequest, dict]]): + The request object. Request message for + [DatasetService.CreateDatasetVersion][google.cloud.aiplatform.v1.DatasetService.CreateDatasetVersion]. + parent (:class:`str`): + Required. The name of the Dataset resource. Format: + ``projects/{project}/locations/{location}/datasets/{dataset}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + dataset_version (:class:`google.cloud.aiplatform_v1.types.DatasetVersion`): + Required. The version to be created. + The same CMEK policies with the original + Dataset will be applied the dataset + version. So here we don't need to + specify the EncryptionSpecType here. + + This corresponds to the ``dataset_version`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.aiplatform_v1.types.DatasetVersion` + Describes the dataset version. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, dataset_version] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.CreateDatasetVersionRequest): + request = dataset_service.CreateDatasetVersionRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if dataset_version is not None: + request.dataset_version = dataset_version + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_dataset_version + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gca_dataset_version.DatasetVersion, + metadata_type=dataset_service.CreateDatasetVersionOperationMetadata, + ) + + # Done; return the response. + return response + + async def update_dataset_version( + self, + request: Optional[ + Union[dataset_service.UpdateDatasetVersionRequest, dict] + ] = None, + *, + dataset_version: Optional[gca_dataset_version.DatasetVersion] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_dataset_version.DatasetVersion: + r"""Updates a DatasetVersion. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_update_dataset_version(): + # Create a client + client = aiplatform_v1.DatasetServiceAsyncClient() + + # Initialize request argument(s) + dataset_version = aiplatform_v1.DatasetVersion() + dataset_version.metadata.null_value = "NULL_VALUE" + + request = aiplatform_v1.UpdateDatasetVersionRequest( + dataset_version=dataset_version, + ) + + # Make the request + response = await client.update_dataset_version(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UpdateDatasetVersionRequest, dict]]): + The request object. Request message for + [DatasetService.UpdateDatasetVersion][google.cloud.aiplatform.v1.DatasetService.UpdateDatasetVersion]. + dataset_version (:class:`google.cloud.aiplatform_v1.types.DatasetVersion`): + Required. The DatasetVersion which + replaces the resource on the server. + + This corresponds to the ``dataset_version`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Required. The update mask applies to the resource. For + the ``FieldMask`` definition, see + [google.protobuf.FieldMask][google.protobuf.FieldMask]. + Updatable fields: + + - ``display_name`` + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.DatasetVersion: + Describes the dataset version. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [dataset_version, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.UpdateDatasetVersionRequest): + request = dataset_service.UpdateDatasetVersionRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if dataset_version is not None: + request.dataset_version = dataset_version + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.update_dataset_version + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("dataset_version.name", request.dataset_version.name),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_dataset_version( + self, + request: Optional[ + Union[dataset_service.DeleteDatasetVersionRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a Dataset version. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_dataset_version(): + # Create a client + client = aiplatform_v1.DatasetServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteDatasetVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_dataset_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteDatasetVersionRequest, dict]]): + The request object. Request message for + [DatasetService.DeleteDatasetVersion][google.cloud.aiplatform.v1.DatasetService.DeleteDatasetVersion]. + name (:class:`str`): + Required. The resource name of the Dataset version to + delete. Format: + ``projects/{project}/locations/{location}/datasets/{dataset}/datasetVersions/{dataset_version}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.DeleteDatasetVersionRequest): + request = dataset_service.DeleteDatasetVersionRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_dataset_version + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def get_dataset_version( + self, + request: Optional[Union[dataset_service.GetDatasetVersionRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> dataset_version.DatasetVersion: + r"""Gets a Dataset version. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_dataset_version(): + # Create a client + client = aiplatform_v1.DatasetServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetDatasetVersionRequest( + name="name_value", + ) + + # Make the request + response = await client.get_dataset_version(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetDatasetVersionRequest, dict]]): + The request object. Request message for + [DatasetService.GetDatasetVersion][google.cloud.aiplatform.v1.DatasetService.GetDatasetVersion]. + name (:class:`str`): + Required. The resource name of the Dataset version to + delete. Format: + ``projects/{project}/locations/{location}/datasets/{dataset}/datasetVersions/{dataset_version}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.DatasetVersion: + Describes the dataset version. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.GetDatasetVersionRequest): + request = dataset_service.GetDatasetVersionRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_dataset_version + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_dataset_versions( + self, + request: Optional[ + Union[dataset_service.ListDatasetVersionsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListDatasetVersionsAsyncPager: + r"""Lists DatasetVersions in a Dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_dataset_versions(): + # Create a client + client = aiplatform_v1.DatasetServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListDatasetVersionsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_dataset_versions(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListDatasetVersionsRequest, dict]]): + The request object. Request message for + [DatasetService.ListDatasetVersions][google.cloud.aiplatform.v1.DatasetService.ListDatasetVersions]. + parent (:class:`str`): + Required. The resource name of the Dataset to list + DatasetVersions from. Format: + ``projects/{project}/locations/{location}/datasets/{dataset}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.dataset_service.pagers.ListDatasetVersionsAsyncPager: + Response message for + [DatasetService.ListDatasetVersions][google.cloud.aiplatform.v1.DatasetService.ListDatasetVersions]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.ListDatasetVersionsRequest): + request = dataset_service.ListDatasetVersionsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_dataset_versions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListDatasetVersionsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def restore_dataset_version( + self, + request: Optional[ + Union[dataset_service.RestoreDatasetVersionRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Restores a dataset version. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_restore_dataset_version(): + # Create a client + client = aiplatform_v1.DatasetServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.RestoreDatasetVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.restore_dataset_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.RestoreDatasetVersionRequest, dict]]): + The request object. Request message for + [DatasetService.RestoreDatasetVersion][google.cloud.aiplatform.v1.DatasetService.RestoreDatasetVersion]. + name (:class:`str`): + Required. The name of the DatasetVersion resource. + Format: + ``projects/{project}/locations/{location}/datasets/{dataset}/datasetVersions/{dataset_version}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.aiplatform_v1.types.DatasetVersion` + Describes the dataset version. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.RestoreDatasetVersionRequest): + request = dataset_service.RestoreDatasetVersionRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.restore_dataset_version + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + dataset_version.DatasetVersion, + metadata_type=dataset_service.RestoreDatasetVersionOperationMetadata, + ) + + # Done; return the response. + return response + + async def list_data_items( + self, + request: Optional[Union[dataset_service.ListDataItemsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListDataItemsAsyncPager: + r"""Lists DataItems in a Dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_data_items(): + # Create a client + client = aiplatform_v1.DatasetServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListDataItemsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_data_items(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListDataItemsRequest, dict]]): + The request object. Request message for + [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]. + parent (:class:`str`): + Required. The resource name of the Dataset to list + DataItems from. Format: + ``projects/{project}/locations/{location}/datasets/{dataset}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.dataset_service.pagers.ListDataItemsAsyncPager: + Response message for + [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.ListDataItemsRequest): + request = dataset_service.ListDataItemsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_data_items + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListDataItemsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def search_data_items( + self, + request: Optional[Union[dataset_service.SearchDataItemsRequest, dict]] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.SearchDataItemsAsyncPager: + r"""Searches DataItems in a Dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_search_data_items(): + # Create a client + client = aiplatform_v1.DatasetServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.SearchDataItemsRequest( + order_by_data_item="order_by_data_item_value", + dataset="dataset_value", + ) + + # Make the request + page_result = client.search_data_items(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.SearchDataItemsRequest, dict]]): + The request object. Request message for + [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.dataset_service.pagers.SearchDataItemsAsyncPager: + Response message for + [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.SearchDataItemsRequest): + request = dataset_service.SearchDataItemsRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.search_data_items + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("dataset", request.dataset),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.SearchDataItemsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_saved_queries( + self, + request: Optional[Union[dataset_service.ListSavedQueriesRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListSavedQueriesAsyncPager: + r"""Lists SavedQueries in a Dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_saved_queries(): + # Create a client + client = aiplatform_v1.DatasetServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListSavedQueriesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_saved_queries(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListSavedQueriesRequest, dict]]): + The request object. Request message for + [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries]. + parent (:class:`str`): + Required. The resource name of the Dataset to list + SavedQueries from. Format: + ``projects/{project}/locations/{location}/datasets/{dataset}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.dataset_service.pagers.ListSavedQueriesAsyncPager: + Response message for + [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.ListSavedQueriesRequest): + request = dataset_service.ListSavedQueriesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_saved_queries + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListSavedQueriesAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_saved_query( + self, + request: Optional[Union[dataset_service.DeleteSavedQueryRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a SavedQuery. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_saved_query(): + # Create a client + client = aiplatform_v1.DatasetServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteSavedQueryRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_saved_query(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteSavedQueryRequest, dict]]): + The request object. Request message for + [DatasetService.DeleteSavedQuery][google.cloud.aiplatform.v1.DatasetService.DeleteSavedQuery]. + name (:class:`str`): + Required. The resource name of the SavedQuery to delete. + Format: + ``projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.DeleteSavedQueryRequest): + request = dataset_service.DeleteSavedQueryRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_saved_query + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def get_annotation_spec( + self, + request: Optional[Union[dataset_service.GetAnnotationSpecRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> annotation_spec.AnnotationSpec: + r"""Gets an AnnotationSpec. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_annotation_spec(): + # Create a client + client = aiplatform_v1.DatasetServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetAnnotationSpecRequest( + name="name_value", + ) + + # Make the request + response = await client.get_annotation_spec(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetAnnotationSpecRequest, dict]]): + The request object. Request message for + [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec]. + name (:class:`str`): + Required. The name of the AnnotationSpec resource. + Format: + ``projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.AnnotationSpec: + Identifies a concept with which + DataItems may be annotated with. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.GetAnnotationSpecRequest): + request = dataset_service.GetAnnotationSpecRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_annotation_spec + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_annotations( + self, + request: Optional[Union[dataset_service.ListAnnotationsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListAnnotationsAsyncPager: + r"""Lists Annotations belongs to a dataitem. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_annotations(): + # Create a client + client = aiplatform_v1.DatasetServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListAnnotationsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_annotations(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListAnnotationsRequest, dict]]): + The request object. Request message for + [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations]. + parent (:class:`str`): + Required. The resource name of the DataItem to list + Annotations from. Format: + ``projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.dataset_service.pagers.ListAnnotationsAsyncPager: + Response message for + [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.ListAnnotationsRequest): + request = dataset_service.ListAnnotationsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_annotations + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListAnnotationsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[ + self._client._transport.test_iam_permissions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self) -> "DatasetServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +__all__ = ("DatasetServiceAsyncClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/dataset_service/client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/dataset_service/client.py new file mode 100644 index 0000000000000000000000000000000000000000..ec2ffcab17d57493ccf95697703d1f3fe388a234 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/dataset_service/client.py @@ -0,0 +1,4041 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from http import HTTPStatus +import json +import logging as std_logging +import os +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, + cast, +) +import warnings + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + +from google.cloud.aiplatform_v1.services.dataset_service import pagers +from google.cloud.aiplatform_v1.types import annotation +from google.cloud.aiplatform_v1.types import annotation_spec +from google.cloud.aiplatform_v1.types import data_item +from google.cloud.aiplatform_v1.types import dataset +from google.cloud.aiplatform_v1.types import dataset as gca_dataset +from google.cloud.aiplatform_v1.types import dataset_service +from google.cloud.aiplatform_v1.types import dataset_version +from google.cloud.aiplatform_v1.types import dataset_version as gca_dataset_version +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.aiplatform_v1.types import saved_query +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.struct_pb2 as struct_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +from .transports.base import DatasetServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import DatasetServiceGrpcTransport +from .transports.grpc_asyncio import DatasetServiceGrpcAsyncIOTransport +from .transports.rest import DatasetServiceRestTransport + +try: + from .transports.rest_asyncio import AsyncDatasetServiceRestTransport + + HAS_ASYNC_REST_DEPENDENCIES = True +except ImportError as e: # pragma: NO COVER + HAS_ASYNC_REST_DEPENDENCIES = False + ASYNC_REST_EXCEPTION = e + + +class DatasetServiceClientMeta(type): + """Metaclass for the DatasetService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + + _transport_registry = ( + OrderedDict() + ) # type: Dict[str, Type[DatasetServiceTransport]] + _transport_registry["grpc"] = DatasetServiceGrpcTransport + _transport_registry["grpc_asyncio"] = DatasetServiceGrpcAsyncIOTransport + _transport_registry["rest"] = DatasetServiceRestTransport + if HAS_ASYNC_REST_DEPENDENCIES: # pragma: NO COVER + _transport_registry["rest_asyncio"] = AsyncDatasetServiceRestTransport + + def get_transport_class( + cls, + label: Optional[str] = None, + ) -> Type[DatasetServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if ( + label == "rest_asyncio" and not HAS_ASYNC_REST_DEPENDENCIES + ): # pragma: NO COVER + raise ASYNC_REST_EXCEPTION + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class DatasetServiceClient(metaclass=DatasetServiceClientMeta): + """The service that manages Vertex AI Dataset and its child + resources. + """ + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "aiplatform.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @staticmethod + def _use_client_cert_effective(): + """Returns whether client certificate should be used for mTLS if the + google-auth version supports should_use_client_cert automatic mTLS enablement. + + Alternatively, read from the GOOGLE_API_USE_CLIENT_CERTIFICATE env var. + + Returns: + bool: whether client certificate should be used for mTLS + Raises: + ValueError: (If using a version of google-auth without should_use_client_cert and + GOOGLE_API_USE_CLIENT_CERTIFICATE is set to an unexpected value.) + """ + # check if google-auth version supports should_use_client_cert for automatic mTLS enablement + if hasattr(mtls, "should_use_client_cert"): # pragma: NO COVER + return mtls.should_use_client_cert() + else: # pragma: NO COVER + # if unsupported, fallback to reading from env var + use_client_cert_str = os.getenv( + "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false" + ).lower() + if use_client_cert_str not in ("true", "false"): + raise ValueError( + "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be" + " either `true` or `false`" + ) + return use_client_cert_str == "true" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DatasetServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DatasetServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file(filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> DatasetServiceTransport: + """Returns the transport used by the client instance. + + Returns: + DatasetServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def annotation_path( + project: str, + location: str, + dataset: str, + data_item: str, + annotation: str, + ) -> str: + """Returns a fully-qualified annotation string.""" + return "projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}/annotations/{annotation}".format( + project=project, + location=location, + dataset=dataset, + data_item=data_item, + annotation=annotation, + ) + + @staticmethod + def parse_annotation_path(path: str) -> Dict[str, str]: + """Parses a annotation path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/datasets/(?P.+?)/dataItems/(?P.+?)/annotations/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def annotation_spec_path( + project: str, + location: str, + dataset: str, + annotation_spec: str, + ) -> str: + """Returns a fully-qualified annotation_spec string.""" + return "projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}".format( + project=project, + location=location, + dataset=dataset, + annotation_spec=annotation_spec, + ) + + @staticmethod + def parse_annotation_spec_path(path: str) -> Dict[str, str]: + """Parses a annotation_spec path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/datasets/(?P.+?)/annotationSpecs/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def data_item_path( + project: str, + location: str, + dataset: str, + data_item: str, + ) -> str: + """Returns a fully-qualified data_item string.""" + return "projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}".format( + project=project, + location=location, + dataset=dataset, + data_item=data_item, + ) + + @staticmethod + def parse_data_item_path(path: str) -> Dict[str, str]: + """Parses a data_item path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/datasets/(?P.+?)/dataItems/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def dataset_path( + project: str, + location: str, + dataset: str, + ) -> str: + """Returns a fully-qualified dataset string.""" + return "projects/{project}/locations/{location}/datasets/{dataset}".format( + project=project, + location=location, + dataset=dataset, + ) + + @staticmethod + def parse_dataset_path(path: str) -> Dict[str, str]: + """Parses a dataset path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/datasets/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def dataset_version_path( + project: str, + location: str, + dataset: str, + dataset_version: str, + ) -> str: + """Returns a fully-qualified dataset_version string.""" + return "projects/{project}/locations/{location}/datasets/{dataset}/datasetVersions/{dataset_version}".format( + project=project, + location=location, + dataset=dataset, + dataset_version=dataset_version, + ) + + @staticmethod + def parse_dataset_version_path(path: str) -> Dict[str, str]: + """Parses a dataset_version path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/datasets/(?P.+?)/datasetVersions/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def saved_query_path( + project: str, + location: str, + dataset: str, + saved_query: str, + ) -> str: + """Returns a fully-qualified saved_query string.""" + return "projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}".format( + project=project, + location=location, + dataset=dataset, + saved_query=saved_query, + ) + + @staticmethod + def parse_saved_query_path(path: str) -> Dict[str, str]: + """Parses a saved_query path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/datasets/(?P.+?)/savedQueries/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path( + billing_account: str, + ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format( + billing_account=billing_account, + ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str, str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path( + folder: str, + ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format( + folder=folder, + ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str, str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path( + organization: str, + ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format( + organization=organization, + ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str, str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path( + project: str, + ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format( + project=project, + ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str, str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path( + project: str, + location: str, + ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format( + project=project, + location=location, + ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str, str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[client_options_lib.ClientOptions] = None + ): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn( + "get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning, + ) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = DatasetServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert: + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = DatasetServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + return use_client_cert, use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint( + api_override, client_cert_source, universe_domain, use_mtls_endpoint + ): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + _default_universe = DatasetServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError( + f"mTLS is not supported in any universe other than {_default_universe}." + ) + api_endpoint = DatasetServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = DatasetServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format( + UNIVERSE_DOMAIN=universe_domain + ) + return api_endpoint + + @staticmethod + def _get_universe_domain( + client_universe_domain: Optional[str], universe_domain_env: Optional[str] + ) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = DatasetServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + + # NOTE (b/349488459): universe validation is disabled until further notice. + return True + + def _add_cred_info_for_auth_errors( + self, error: core_exceptions.GoogleAPICallError + ) -> None: + """Adds credential info string to error details for 401/403/404 errors. + + Args: + error (google.api_core.exceptions.GoogleAPICallError): The error to add the cred info. + """ + if error.code not in [ + HTTPStatus.UNAUTHORIZED, + HTTPStatus.FORBIDDEN, + HTTPStatus.NOT_FOUND, + ]: + return + + cred = self._transport._credentials + + # get_cred_info is only available in google-auth>=2.35.0 + if not hasattr(cred, "get_cred_info"): + return + + # ignore the type check since pypy test fails when get_cred_info + # is not available + cred_info = cred.get_cred_info() # type: ignore + if cred_info and hasattr(error._details, "append"): + error._details.append(json.dumps(cred_info)) + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[str, DatasetServiceTransport, Callable[..., DatasetServiceTransport]] + ] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the dataset service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,DatasetServiceTransport,Callable[..., DatasetServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the DatasetServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast( + client_options_lib.ClientOptions, self._client_options + ) + + universe_domain_opt = getattr(self._client_options, "universe_domain", None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = ( + DatasetServiceClient._read_environment_variables() + ) + self._client_cert_source = DatasetServiceClient._get_client_cert_source( + self._client_options.client_cert_source, self._use_client_cert + ) + self._universe_domain = DatasetServiceClient._get_universe_domain( + universe_domain_opt, self._universe_domain_env + ) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + if CLIENT_LOGGING_SUPPORTED: # pragma: NO COVER + # Setup logging. + client_logging.initialize_logging() + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError( + "client_options.api_key and credentials are mutually exclusive" + ) + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance(transport, DatasetServiceTransport) + if transport_provided: + # transport is a DatasetServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError( + "When providing a transport instance, " + "provide its credentials directly." + ) + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(DatasetServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = ( + self._api_endpoint + or DatasetServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint, + ) + ) + + if not transport_provided: + transport_init: Union[ + Type[DatasetServiceTransport], Callable[..., DatasetServiceTransport] + ] = ( + DatasetServiceClient.get_transport_class(transport) + if isinstance(transport, str) or transport is None + else cast(Callable[..., DatasetServiceTransport], transport) + ) + + if "rest_asyncio" in str(transport_init): + unsupported_params = { + "google.api_core.client_options.ClientOptions.credentials_file": self._client_options.credentials_file, + "google.api_core.client_options.ClientOptions.scopes": self._client_options.scopes, + "google.api_core.client_options.ClientOptions.quota_project_id": self._client_options.quota_project_id, + "google.api_core.client_options.ClientOptions.client_cert_source": self._client_options.client_cert_source, + "google.api_core.client_options.ClientOptions.api_audience": self._client_options.api_audience, + } + provided_unsupported_params = [ + name + for name, value in unsupported_params.items() + if value is not None + ] + if provided_unsupported_params: + raise core_exceptions.AsyncRestUnsupportedParameterError( # type: ignore + f"The following provided parameters are not supported for `transport=rest_asyncio`: {', '.join(provided_unsupported_params)}" + ) + self._transport = transport_init( + credentials=credentials, + host=self._api_endpoint, + client_info=client_info, + ) + return + + import google.auth._default # type: ignore + + if api_key_value and hasattr( + google.auth._default, "get_api_key_credentials" + ): + credentials = google.auth._default.get_api_key_credentials( + api_key_value + ) + + # initialize with the provided callable or the passed in class + self._transport = transport_init( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + if "async" not in str(self._transport): + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.DatasetServiceClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.DatasetService", + "universeDomain": getattr( + self._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._transport._credentials).__module__}.{type(self._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, + "get_cred_info", + lambda: None, + )(), + } + if hasattr(self._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.DatasetService", + "credentialsType": None, + } + ), + ) + + def create_dataset( + self, + request: Optional[Union[dataset_service.CreateDatasetRequest, dict]] = None, + *, + parent: Optional[str] = None, + dataset: Optional[gca_dataset.Dataset] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Creates a Dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_dataset(): + # Create a client + client = aiplatform_v1.DatasetServiceClient() + + # Initialize request argument(s) + dataset = aiplatform_v1.Dataset() + dataset.display_name = "display_name_value" + dataset.metadata_schema_uri = "metadata_schema_uri_value" + dataset.metadata.null_value = "NULL_VALUE" + + request = aiplatform_v1.CreateDatasetRequest( + parent="parent_value", + dataset=dataset, + ) + + # Make the request + operation = client.create_dataset(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateDatasetRequest, dict]): + The request object. Request message for + [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset]. + parent (str): + Required. The resource name of the Location to create + the Dataset in. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + dataset (google.cloud.aiplatform_v1.types.Dataset): + Required. The Dataset to create. + This corresponds to the ``dataset`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.aiplatform_v1.types.Dataset` A + collection of DataItems and Annotations on them. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, dataset] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.CreateDatasetRequest): + request = dataset_service.CreateDatasetRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if dataset is not None: + request.dataset = dataset + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_dataset] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + gca_dataset.Dataset, + metadata_type=dataset_service.CreateDatasetOperationMetadata, + ) + + # Done; return the response. + return response + + def get_dataset( + self, + request: Optional[Union[dataset_service.GetDatasetRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> dataset.Dataset: + r"""Gets a Dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_dataset(): + # Create a client + client = aiplatform_v1.DatasetServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetDatasetRequest( + name="name_value", + ) + + # Make the request + response = client.get_dataset(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetDatasetRequest, dict]): + The request object. Request message for + [DatasetService.GetDataset][google.cloud.aiplatform.v1.DatasetService.GetDataset]. + name (str): + Required. The name of the Dataset + resource. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Dataset: + A collection of DataItems and + Annotations on them. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.GetDatasetRequest): + request = dataset_service.GetDatasetRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_dataset] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def update_dataset( + self, + request: Optional[Union[dataset_service.UpdateDatasetRequest, dict]] = None, + *, + dataset: Optional[gca_dataset.Dataset] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_dataset.Dataset: + r"""Updates a Dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_update_dataset(): + # Create a client + client = aiplatform_v1.DatasetServiceClient() + + # Initialize request argument(s) + dataset = aiplatform_v1.Dataset() + dataset.display_name = "display_name_value" + dataset.metadata_schema_uri = "metadata_schema_uri_value" + dataset.metadata.null_value = "NULL_VALUE" + + request = aiplatform_v1.UpdateDatasetRequest( + dataset=dataset, + ) + + # Make the request + response = client.update_dataset(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UpdateDatasetRequest, dict]): + The request object. Request message for + [DatasetService.UpdateDataset][google.cloud.aiplatform.v1.DatasetService.UpdateDataset]. + dataset (google.cloud.aiplatform_v1.types.Dataset): + Required. The Dataset which replaces + the resource on the server. + + This corresponds to the ``dataset`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Required. The update mask applies to the resource. For + the ``FieldMask`` definition, see + [google.protobuf.FieldMask][google.protobuf.FieldMask]. + Updatable fields: + + - ``display_name`` + - ``description`` + - ``labels`` + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Dataset: + A collection of DataItems and + Annotations on them. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [dataset, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.UpdateDatasetRequest): + request = dataset_service.UpdateDatasetRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if dataset is not None: + request.dataset = dataset + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.update_dataset] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("dataset.name", request.dataset.name),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_datasets( + self, + request: Optional[Union[dataset_service.ListDatasetsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListDatasetsPager: + r"""Lists Datasets in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_datasets(): + # Create a client + client = aiplatform_v1.DatasetServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListDatasetsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_datasets(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListDatasetsRequest, dict]): + The request object. Request message for + [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets]. + parent (str): + Required. The name of the Dataset's parent resource. + Format: ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.dataset_service.pagers.ListDatasetsPager: + Response message for + [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.ListDatasetsRequest): + request = dataset_service.ListDatasetsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_datasets] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListDatasetsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def delete_dataset( + self, + request: Optional[Union[dataset_service.DeleteDatasetRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes a Dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_dataset(): + # Create a client + client = aiplatform_v1.DatasetServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteDatasetRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_dataset(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteDatasetRequest, dict]): + The request object. Request message for + [DatasetService.DeleteDataset][google.cloud.aiplatform.v1.DatasetService.DeleteDataset]. + name (str): + Required. The resource name of the Dataset to delete. + Format: + ``projects/{project}/locations/{location}/datasets/{dataset}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.DeleteDatasetRequest): + request = dataset_service.DeleteDatasetRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_dataset] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def import_data( + self, + request: Optional[Union[dataset_service.ImportDataRequest, dict]] = None, + *, + name: Optional[str] = None, + import_configs: Optional[MutableSequence[dataset.ImportDataConfig]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Imports data into a Dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_import_data(): + # Create a client + client = aiplatform_v1.DatasetServiceClient() + + # Initialize request argument(s) + import_configs = aiplatform_v1.ImportDataConfig() + import_configs.gcs_source.uris = ['uris_value1', 'uris_value2'] + import_configs.import_schema_uri = "import_schema_uri_value" + + request = aiplatform_v1.ImportDataRequest( + name="name_value", + import_configs=import_configs, + ) + + # Make the request + operation = client.import_data(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ImportDataRequest, dict]): + The request object. Request message for + [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData]. + name (str): + Required. The name of the Dataset resource. Format: + ``projects/{project}/locations/{location}/datasets/{dataset}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + import_configs (MutableSequence[google.cloud.aiplatform_v1.types.ImportDataConfig]): + Required. The desired input + locations. The contents of all input + locations will be imported in one batch. + + This corresponds to the ``import_configs`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.ImportDataResponse` Response message for + [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name, import_configs] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.ImportDataRequest): + request = dataset_service.ImportDataRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if import_configs is not None: + request.import_configs = import_configs + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.import_data] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + dataset_service.ImportDataResponse, + metadata_type=dataset_service.ImportDataOperationMetadata, + ) + + # Done; return the response. + return response + + def export_data( + self, + request: Optional[Union[dataset_service.ExportDataRequest, dict]] = None, + *, + name: Optional[str] = None, + export_config: Optional[dataset.ExportDataConfig] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Exports data from a Dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_export_data(): + # Create a client + client = aiplatform_v1.DatasetServiceClient() + + # Initialize request argument(s) + export_config = aiplatform_v1.ExportDataConfig() + export_config.gcs_destination.output_uri_prefix = "output_uri_prefix_value" + + request = aiplatform_v1.ExportDataRequest( + name="name_value", + export_config=export_config, + ) + + # Make the request + operation = client.export_data(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ExportDataRequest, dict]): + The request object. Request message for + [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData]. + name (str): + Required. The name of the Dataset resource. Format: + ``projects/{project}/locations/{location}/datasets/{dataset}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + export_config (google.cloud.aiplatform_v1.types.ExportDataConfig): + Required. The desired output + location. + + This corresponds to the ``export_config`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.ExportDataResponse` Response message for + [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name, export_config] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.ExportDataRequest): + request = dataset_service.ExportDataRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if export_config is not None: + request.export_config = export_config + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.export_data] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + dataset_service.ExportDataResponse, + metadata_type=dataset_service.ExportDataOperationMetadata, + ) + + # Done; return the response. + return response + + def create_dataset_version( + self, + request: Optional[ + Union[dataset_service.CreateDatasetVersionRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + dataset_version: Optional[gca_dataset_version.DatasetVersion] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Create a version from a Dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_dataset_version(): + # Create a client + client = aiplatform_v1.DatasetServiceClient() + + # Initialize request argument(s) + dataset_version = aiplatform_v1.DatasetVersion() + dataset_version.metadata.null_value = "NULL_VALUE" + + request = aiplatform_v1.CreateDatasetVersionRequest( + parent="parent_value", + dataset_version=dataset_version, + ) + + # Make the request + operation = client.create_dataset_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateDatasetVersionRequest, dict]): + The request object. Request message for + [DatasetService.CreateDatasetVersion][google.cloud.aiplatform.v1.DatasetService.CreateDatasetVersion]. + parent (str): + Required. The name of the Dataset resource. Format: + ``projects/{project}/locations/{location}/datasets/{dataset}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + dataset_version (google.cloud.aiplatform_v1.types.DatasetVersion): + Required. The version to be created. + The same CMEK policies with the original + Dataset will be applied the dataset + version. So here we don't need to + specify the EncryptionSpecType here. + + This corresponds to the ``dataset_version`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.aiplatform_v1.types.DatasetVersion` + Describes the dataset version. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, dataset_version] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.CreateDatasetVersionRequest): + request = dataset_service.CreateDatasetVersionRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if dataset_version is not None: + request.dataset_version = dataset_version + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_dataset_version] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + gca_dataset_version.DatasetVersion, + metadata_type=dataset_service.CreateDatasetVersionOperationMetadata, + ) + + # Done; return the response. + return response + + def update_dataset_version( + self, + request: Optional[ + Union[dataset_service.UpdateDatasetVersionRequest, dict] + ] = None, + *, + dataset_version: Optional[gca_dataset_version.DatasetVersion] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_dataset_version.DatasetVersion: + r"""Updates a DatasetVersion. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_update_dataset_version(): + # Create a client + client = aiplatform_v1.DatasetServiceClient() + + # Initialize request argument(s) + dataset_version = aiplatform_v1.DatasetVersion() + dataset_version.metadata.null_value = "NULL_VALUE" + + request = aiplatform_v1.UpdateDatasetVersionRequest( + dataset_version=dataset_version, + ) + + # Make the request + response = client.update_dataset_version(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UpdateDatasetVersionRequest, dict]): + The request object. Request message for + [DatasetService.UpdateDatasetVersion][google.cloud.aiplatform.v1.DatasetService.UpdateDatasetVersion]. + dataset_version (google.cloud.aiplatform_v1.types.DatasetVersion): + Required. The DatasetVersion which + replaces the resource on the server. + + This corresponds to the ``dataset_version`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Required. The update mask applies to the resource. For + the ``FieldMask`` definition, see + [google.protobuf.FieldMask][google.protobuf.FieldMask]. + Updatable fields: + + - ``display_name`` + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.DatasetVersion: + Describes the dataset version. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [dataset_version, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.UpdateDatasetVersionRequest): + request = dataset_service.UpdateDatasetVersionRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if dataset_version is not None: + request.dataset_version = dataset_version + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.update_dataset_version] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("dataset_version.name", request.dataset_version.name),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def delete_dataset_version( + self, + request: Optional[ + Union[dataset_service.DeleteDatasetVersionRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes a Dataset version. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_dataset_version(): + # Create a client + client = aiplatform_v1.DatasetServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteDatasetVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_dataset_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteDatasetVersionRequest, dict]): + The request object. Request message for + [DatasetService.DeleteDatasetVersion][google.cloud.aiplatform.v1.DatasetService.DeleteDatasetVersion]. + name (str): + Required. The resource name of the Dataset version to + delete. Format: + ``projects/{project}/locations/{location}/datasets/{dataset}/datasetVersions/{dataset_version}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.DeleteDatasetVersionRequest): + request = dataset_service.DeleteDatasetVersionRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_dataset_version] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def get_dataset_version( + self, + request: Optional[Union[dataset_service.GetDatasetVersionRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> dataset_version.DatasetVersion: + r"""Gets a Dataset version. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_dataset_version(): + # Create a client + client = aiplatform_v1.DatasetServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetDatasetVersionRequest( + name="name_value", + ) + + # Make the request + response = client.get_dataset_version(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetDatasetVersionRequest, dict]): + The request object. Request message for + [DatasetService.GetDatasetVersion][google.cloud.aiplatform.v1.DatasetService.GetDatasetVersion]. + name (str): + Required. The resource name of the Dataset version to + delete. Format: + ``projects/{project}/locations/{location}/datasets/{dataset}/datasetVersions/{dataset_version}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.DatasetVersion: + Describes the dataset version. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.GetDatasetVersionRequest): + request = dataset_service.GetDatasetVersionRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_dataset_version] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_dataset_versions( + self, + request: Optional[ + Union[dataset_service.ListDatasetVersionsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListDatasetVersionsPager: + r"""Lists DatasetVersions in a Dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_dataset_versions(): + # Create a client + client = aiplatform_v1.DatasetServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListDatasetVersionsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_dataset_versions(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListDatasetVersionsRequest, dict]): + The request object. Request message for + [DatasetService.ListDatasetVersions][google.cloud.aiplatform.v1.DatasetService.ListDatasetVersions]. + parent (str): + Required. The resource name of the Dataset to list + DatasetVersions from. Format: + ``projects/{project}/locations/{location}/datasets/{dataset}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.dataset_service.pagers.ListDatasetVersionsPager: + Response message for + [DatasetService.ListDatasetVersions][google.cloud.aiplatform.v1.DatasetService.ListDatasetVersions]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.ListDatasetVersionsRequest): + request = dataset_service.ListDatasetVersionsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_dataset_versions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListDatasetVersionsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def restore_dataset_version( + self, + request: Optional[ + Union[dataset_service.RestoreDatasetVersionRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Restores a dataset version. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_restore_dataset_version(): + # Create a client + client = aiplatform_v1.DatasetServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.RestoreDatasetVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.restore_dataset_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.RestoreDatasetVersionRequest, dict]): + The request object. Request message for + [DatasetService.RestoreDatasetVersion][google.cloud.aiplatform.v1.DatasetService.RestoreDatasetVersion]. + name (str): + Required. The name of the DatasetVersion resource. + Format: + ``projects/{project}/locations/{location}/datasets/{dataset}/datasetVersions/{dataset_version}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.aiplatform_v1.types.DatasetVersion` + Describes the dataset version. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.RestoreDatasetVersionRequest): + request = dataset_service.RestoreDatasetVersionRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.restore_dataset_version] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + dataset_version.DatasetVersion, + metadata_type=dataset_service.RestoreDatasetVersionOperationMetadata, + ) + + # Done; return the response. + return response + + def list_data_items( + self, + request: Optional[Union[dataset_service.ListDataItemsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListDataItemsPager: + r"""Lists DataItems in a Dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_data_items(): + # Create a client + client = aiplatform_v1.DatasetServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListDataItemsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_data_items(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListDataItemsRequest, dict]): + The request object. Request message for + [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]. + parent (str): + Required. The resource name of the Dataset to list + DataItems from. Format: + ``projects/{project}/locations/{location}/datasets/{dataset}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.dataset_service.pagers.ListDataItemsPager: + Response message for + [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.ListDataItemsRequest): + request = dataset_service.ListDataItemsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_data_items] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListDataItemsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def search_data_items( + self, + request: Optional[Union[dataset_service.SearchDataItemsRequest, dict]] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.SearchDataItemsPager: + r"""Searches DataItems in a Dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_search_data_items(): + # Create a client + client = aiplatform_v1.DatasetServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.SearchDataItemsRequest( + order_by_data_item="order_by_data_item_value", + dataset="dataset_value", + ) + + # Make the request + page_result = client.search_data_items(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.SearchDataItemsRequest, dict]): + The request object. Request message for + [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.dataset_service.pagers.SearchDataItemsPager: + Response message for + [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.SearchDataItemsRequest): + request = dataset_service.SearchDataItemsRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.search_data_items] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("dataset", request.dataset),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.SearchDataItemsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_saved_queries( + self, + request: Optional[Union[dataset_service.ListSavedQueriesRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListSavedQueriesPager: + r"""Lists SavedQueries in a Dataset. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_saved_queries(): + # Create a client + client = aiplatform_v1.DatasetServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListSavedQueriesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_saved_queries(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListSavedQueriesRequest, dict]): + The request object. Request message for + [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries]. + parent (str): + Required. The resource name of the Dataset to list + SavedQueries from. Format: + ``projects/{project}/locations/{location}/datasets/{dataset}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.dataset_service.pagers.ListSavedQueriesPager: + Response message for + [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.ListSavedQueriesRequest): + request = dataset_service.ListSavedQueriesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_saved_queries] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListSavedQueriesPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def delete_saved_query( + self, + request: Optional[Union[dataset_service.DeleteSavedQueryRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes a SavedQuery. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_saved_query(): + # Create a client + client = aiplatform_v1.DatasetServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteSavedQueryRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_saved_query(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteSavedQueryRequest, dict]): + The request object. Request message for + [DatasetService.DeleteSavedQuery][google.cloud.aiplatform.v1.DatasetService.DeleteSavedQuery]. + name (str): + Required. The resource name of the SavedQuery to delete. + Format: + ``projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.DeleteSavedQueryRequest): + request = dataset_service.DeleteSavedQueryRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_saved_query] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def get_annotation_spec( + self, + request: Optional[Union[dataset_service.GetAnnotationSpecRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> annotation_spec.AnnotationSpec: + r"""Gets an AnnotationSpec. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_annotation_spec(): + # Create a client + client = aiplatform_v1.DatasetServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetAnnotationSpecRequest( + name="name_value", + ) + + # Make the request + response = client.get_annotation_spec(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetAnnotationSpecRequest, dict]): + The request object. Request message for + [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec]. + name (str): + Required. The name of the AnnotationSpec resource. + Format: + ``projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.AnnotationSpec: + Identifies a concept with which + DataItems may be annotated with. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.GetAnnotationSpecRequest): + request = dataset_service.GetAnnotationSpecRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_annotation_spec] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_annotations( + self, + request: Optional[Union[dataset_service.ListAnnotationsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListAnnotationsPager: + r"""Lists Annotations belongs to a dataitem. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_annotations(): + # Create a client + client = aiplatform_v1.DatasetServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListAnnotationsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_annotations(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListAnnotationsRequest, dict]): + The request object. Request message for + [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations]. + parent (str): + Required. The resource name of the DataItem to list + Annotations from. Format: + ``projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.dataset_service.pagers.ListAnnotationsPager: + Response message for + [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, dataset_service.ListAnnotationsRequest): + request = dataset_service.ListAnnotationsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_annotations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListAnnotationsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def __enter__(self) -> "DatasetServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + +__all__ = ("DatasetServiceClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/dataset_service/pagers.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/dataset_service/pagers.py new file mode 100644 index 0000000000000000000000000000000000000000..e23cee90dfd02a160d5bad8e72c55aa331cb5e45 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/dataset_service/pagers.py @@ -0,0 +1,981 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import retry_async as retries_async +from typing import ( + Any, + AsyncIterator, + Awaitable, + Callable, + Sequence, + Tuple, + Optional, + Iterator, + Union, +) + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] + OptionalAsyncRetry = Union[ + retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None + ] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.types import annotation +from google.cloud.aiplatform_v1.types import data_item +from google.cloud.aiplatform_v1.types import dataset +from google.cloud.aiplatform_v1.types import dataset_service +from google.cloud.aiplatform_v1.types import dataset_version +from google.cloud.aiplatform_v1.types import saved_query + + +class ListDatasetsPager: + """A pager for iterating through ``list_datasets`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListDatasetsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``datasets`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListDatasets`` requests and continue to iterate + through the ``datasets`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListDatasetsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., dataset_service.ListDatasetsResponse], + request: dataset_service.ListDatasetsRequest, + response: dataset_service.ListDatasetsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListDatasetsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListDatasetsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = dataset_service.ListDatasetsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[dataset_service.ListDatasetsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[dataset.Dataset]: + for page in self.pages: + yield from page.datasets + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListDatasetsAsyncPager: + """A pager for iterating through ``list_datasets`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListDatasetsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``datasets`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListDatasets`` requests and continue to iterate + through the ``datasets`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListDatasetsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[dataset_service.ListDatasetsResponse]], + request: dataset_service.ListDatasetsRequest, + response: dataset_service.ListDatasetsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListDatasetsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListDatasetsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = dataset_service.ListDatasetsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[dataset_service.ListDatasetsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[dataset.Dataset]: + async def async_generator(): + async for page in self.pages: + for response in page.datasets: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListDatasetVersionsPager: + """A pager for iterating through ``list_dataset_versions`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListDatasetVersionsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``dataset_versions`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListDatasetVersions`` requests and continue to iterate + through the ``dataset_versions`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListDatasetVersionsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., dataset_service.ListDatasetVersionsResponse], + request: dataset_service.ListDatasetVersionsRequest, + response: dataset_service.ListDatasetVersionsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListDatasetVersionsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListDatasetVersionsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = dataset_service.ListDatasetVersionsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[dataset_service.ListDatasetVersionsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[dataset_version.DatasetVersion]: + for page in self.pages: + yield from page.dataset_versions + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListDatasetVersionsAsyncPager: + """A pager for iterating through ``list_dataset_versions`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListDatasetVersionsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``dataset_versions`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListDatasetVersions`` requests and continue to iterate + through the ``dataset_versions`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListDatasetVersionsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[dataset_service.ListDatasetVersionsResponse]], + request: dataset_service.ListDatasetVersionsRequest, + response: dataset_service.ListDatasetVersionsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListDatasetVersionsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListDatasetVersionsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = dataset_service.ListDatasetVersionsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[dataset_service.ListDatasetVersionsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[dataset_version.DatasetVersion]: + async def async_generator(): + async for page in self.pages: + for response in page.dataset_versions: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListDataItemsPager: + """A pager for iterating through ``list_data_items`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListDataItemsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``data_items`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListDataItems`` requests and continue to iterate + through the ``data_items`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListDataItemsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., dataset_service.ListDataItemsResponse], + request: dataset_service.ListDataItemsRequest, + response: dataset_service.ListDataItemsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListDataItemsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListDataItemsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = dataset_service.ListDataItemsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[dataset_service.ListDataItemsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[data_item.DataItem]: + for page in self.pages: + yield from page.data_items + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListDataItemsAsyncPager: + """A pager for iterating through ``list_data_items`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListDataItemsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``data_items`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListDataItems`` requests and continue to iterate + through the ``data_items`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListDataItemsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[dataset_service.ListDataItemsResponse]], + request: dataset_service.ListDataItemsRequest, + response: dataset_service.ListDataItemsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListDataItemsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListDataItemsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = dataset_service.ListDataItemsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[dataset_service.ListDataItemsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[data_item.DataItem]: + async def async_generator(): + async for page in self.pages: + for response in page.data_items: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class SearchDataItemsPager: + """A pager for iterating through ``search_data_items`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.SearchDataItemsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``data_item_views`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``SearchDataItems`` requests and continue to iterate + through the ``data_item_views`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.SearchDataItemsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., dataset_service.SearchDataItemsResponse], + request: dataset_service.SearchDataItemsRequest, + response: dataset_service.SearchDataItemsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.SearchDataItemsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.SearchDataItemsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = dataset_service.SearchDataItemsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[dataset_service.SearchDataItemsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[dataset_service.DataItemView]: + for page in self.pages: + yield from page.data_item_views + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class SearchDataItemsAsyncPager: + """A pager for iterating through ``search_data_items`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.SearchDataItemsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``data_item_views`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``SearchDataItems`` requests and continue to iterate + through the ``data_item_views`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.SearchDataItemsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[dataset_service.SearchDataItemsResponse]], + request: dataset_service.SearchDataItemsRequest, + response: dataset_service.SearchDataItemsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.SearchDataItemsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.SearchDataItemsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = dataset_service.SearchDataItemsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[dataset_service.SearchDataItemsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[dataset_service.DataItemView]: + async def async_generator(): + async for page in self.pages: + for response in page.data_item_views: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListSavedQueriesPager: + """A pager for iterating through ``list_saved_queries`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListSavedQueriesResponse` object, and + provides an ``__iter__`` method to iterate through its + ``saved_queries`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListSavedQueries`` requests and continue to iterate + through the ``saved_queries`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListSavedQueriesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., dataset_service.ListSavedQueriesResponse], + request: dataset_service.ListSavedQueriesRequest, + response: dataset_service.ListSavedQueriesResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListSavedQueriesRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListSavedQueriesResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = dataset_service.ListSavedQueriesRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[dataset_service.ListSavedQueriesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[saved_query.SavedQuery]: + for page in self.pages: + yield from page.saved_queries + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListSavedQueriesAsyncPager: + """A pager for iterating through ``list_saved_queries`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListSavedQueriesResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``saved_queries`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListSavedQueries`` requests and continue to iterate + through the ``saved_queries`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListSavedQueriesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[dataset_service.ListSavedQueriesResponse]], + request: dataset_service.ListSavedQueriesRequest, + response: dataset_service.ListSavedQueriesResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListSavedQueriesRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListSavedQueriesResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = dataset_service.ListSavedQueriesRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[dataset_service.ListSavedQueriesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[saved_query.SavedQuery]: + async def async_generator(): + async for page in self.pages: + for response in page.saved_queries: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListAnnotationsPager: + """A pager for iterating through ``list_annotations`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListAnnotationsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``annotations`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListAnnotations`` requests and continue to iterate + through the ``annotations`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListAnnotationsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., dataset_service.ListAnnotationsResponse], + request: dataset_service.ListAnnotationsRequest, + response: dataset_service.ListAnnotationsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListAnnotationsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListAnnotationsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = dataset_service.ListAnnotationsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[dataset_service.ListAnnotationsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[annotation.Annotation]: + for page in self.pages: + yield from page.annotations + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListAnnotationsAsyncPager: + """A pager for iterating through ``list_annotations`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListAnnotationsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``annotations`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListAnnotations`` requests and continue to iterate + through the ``annotations`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListAnnotationsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[dataset_service.ListAnnotationsResponse]], + request: dataset_service.ListAnnotationsRequest, + response: dataset_service.ListAnnotationsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListAnnotationsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListAnnotationsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = dataset_service.ListAnnotationsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[dataset_service.ListAnnotationsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[annotation.Annotation]: + async def async_generator(): + async for page in self.pages: + for response in page.annotations: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..1a6e5f48e7539e918320cd08a1cad5deaf4cf42a --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import DeploymentResourcePoolServiceClient +from .async_client import DeploymentResourcePoolServiceAsyncClient + +__all__ = ( + "DeploymentResourcePoolServiceClient", + "DeploymentResourcePoolServiceAsyncClient", +) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/__pycache__/__init__.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/__pycache__/__init__.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..0ec129dc08dae3be1df57944054e1aa512d0e61f Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/__pycache__/__init__.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/__pycache__/async_client.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/__pycache__/async_client.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..278eeac612c3843aafb31f2ee133562beb42d0d8 Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/__pycache__/async_client.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/__pycache__/client.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/__pycache__/client.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..7931a06cd0fdf40986578a726c63adc0c5e78772 Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/__pycache__/client.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/__pycache__/pagers.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/__pycache__/pagers.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..e823c4bfd77f64de3119c3f7db109abcdf92a0e5 Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/__pycache__/pagers.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/async_client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/async_client.py new file mode 100644 index 0000000000000000000000000000000000000000..26640fe511e63795d237ca2f7cc10d16b5ccba82 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/async_client.py @@ -0,0 +1,1940 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging as std_logging +from collections import OrderedDict +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, +) + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.services.deployment_resource_pool_service import pagers +from google.cloud.aiplatform_v1.types import deployment_resource_pool +from google.cloud.aiplatform_v1.types import ( + deployment_resource_pool as gca_deployment_resource_pool, +) +from google.cloud.aiplatform_v1.types import deployment_resource_pool_service +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import endpoint +from google.cloud.aiplatform_v1.types import machine_resources +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +from .transports.base import DeploymentResourcePoolServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import DeploymentResourcePoolServiceGrpcAsyncIOTransport +from .client import DeploymentResourcePoolServiceClient + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class DeploymentResourcePoolServiceAsyncClient: + """A service that manages the DeploymentResourcePool resource.""" + + _client: DeploymentResourcePoolServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = DeploymentResourcePoolServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = DeploymentResourcePoolServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = ( + DeploymentResourcePoolServiceClient._DEFAULT_ENDPOINT_TEMPLATE + ) + _DEFAULT_UNIVERSE = DeploymentResourcePoolServiceClient._DEFAULT_UNIVERSE + + deployment_resource_pool_path = staticmethod( + DeploymentResourcePoolServiceClient.deployment_resource_pool_path + ) + parse_deployment_resource_pool_path = staticmethod( + DeploymentResourcePoolServiceClient.parse_deployment_resource_pool_path + ) + endpoint_path = staticmethod(DeploymentResourcePoolServiceClient.endpoint_path) + parse_endpoint_path = staticmethod( + DeploymentResourcePoolServiceClient.parse_endpoint_path + ) + model_path = staticmethod(DeploymentResourcePoolServiceClient.model_path) + parse_model_path = staticmethod( + DeploymentResourcePoolServiceClient.parse_model_path + ) + reservation_path = staticmethod( + DeploymentResourcePoolServiceClient.reservation_path + ) + parse_reservation_path = staticmethod( + DeploymentResourcePoolServiceClient.parse_reservation_path + ) + common_billing_account_path = staticmethod( + DeploymentResourcePoolServiceClient.common_billing_account_path + ) + parse_common_billing_account_path = staticmethod( + DeploymentResourcePoolServiceClient.parse_common_billing_account_path + ) + common_folder_path = staticmethod( + DeploymentResourcePoolServiceClient.common_folder_path + ) + parse_common_folder_path = staticmethod( + DeploymentResourcePoolServiceClient.parse_common_folder_path + ) + common_organization_path = staticmethod( + DeploymentResourcePoolServiceClient.common_organization_path + ) + parse_common_organization_path = staticmethod( + DeploymentResourcePoolServiceClient.parse_common_organization_path + ) + common_project_path = staticmethod( + DeploymentResourcePoolServiceClient.common_project_path + ) + parse_common_project_path = staticmethod( + DeploymentResourcePoolServiceClient.parse_common_project_path + ) + common_location_path = staticmethod( + DeploymentResourcePoolServiceClient.common_location_path + ) + parse_common_location_path = staticmethod( + DeploymentResourcePoolServiceClient.parse_common_location_path + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DeploymentResourcePoolServiceAsyncClient: The constructed client. + """ + sa_info_func = ( + DeploymentResourcePoolServiceClient.from_service_account_info.__func__ # type: ignore + ) + return sa_info_func( + DeploymentResourcePoolServiceAsyncClient, info, *args, **kwargs + ) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DeploymentResourcePoolServiceAsyncClient: The constructed client. + """ + sa_file_func = ( + DeploymentResourcePoolServiceClient.from_service_account_file.__func__ # type: ignore + ) + return sa_file_func( + DeploymentResourcePoolServiceAsyncClient, filename, *args, **kwargs + ) + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[ClientOptions] = None + ): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return DeploymentResourcePoolServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> DeploymentResourcePoolServiceTransport: + """Returns the transport used by the client instance. + + Returns: + DeploymentResourcePoolServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = DeploymentResourcePoolServiceClient.get_transport_class + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + DeploymentResourcePoolServiceTransport, + Callable[..., DeploymentResourcePoolServiceTransport], + ] + ] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the deployment resource pool service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,DeploymentResourcePoolServiceTransport,Callable[..., DeploymentResourcePoolServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport to use. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the DeploymentResourcePoolServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = DeploymentResourcePoolServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.DeploymentResourcePoolServiceAsyncClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "universeDomain": getattr( + self._client._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._client._transport._credentials).__module__}.{type(self._client._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, "get_cred_info", lambda: None + )(), + } + if hasattr(self._client._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "credentialsType": None, + } + ), + ) + + async def create_deployment_resource_pool( + self, + request: Optional[ + Union[ + deployment_resource_pool_service.CreateDeploymentResourcePoolRequest, + dict, + ] + ] = None, + *, + parent: Optional[str] = None, + deployment_resource_pool: Optional[ + gca_deployment_resource_pool.DeploymentResourcePool + ] = None, + deployment_resource_pool_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Create a DeploymentResourcePool. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_deployment_resource_pool(): + # Create a client + client = aiplatform_v1.DeploymentResourcePoolServiceAsyncClient() + + # Initialize request argument(s) + deployment_resource_pool = aiplatform_v1.DeploymentResourcePool() + deployment_resource_pool.dedicated_resources.min_replica_count = 1803 + + request = aiplatform_v1.CreateDeploymentResourcePoolRequest( + parent="parent_value", + deployment_resource_pool=deployment_resource_pool, + deployment_resource_pool_id="deployment_resource_pool_id_value", + ) + + # Make the request + operation = client.create_deployment_resource_pool(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateDeploymentResourcePoolRequest, dict]]): + The request object. Request message for + CreateDeploymentResourcePool method. + parent (:class:`str`): + Required. The parent location resource where this + DeploymentResourcePool will be created. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + deployment_resource_pool (:class:`google.cloud.aiplatform_v1.types.DeploymentResourcePool`): + Required. The DeploymentResourcePool + to create. + + This corresponds to the ``deployment_resource_pool`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + deployment_resource_pool_id (:class:`str`): + Required. The ID to use for the DeploymentResourcePool, + which will become the final component of the + DeploymentResourcePool's resource name. + + The maximum length is 63 characters, and valid + characters are ``/^[a-z]([a-z0-9-]{0,61}[a-z0-9])?$/``. + + This corresponds to the ``deployment_resource_pool_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.DeploymentResourcePool` A description of resources that can be shared by multiple DeployedModels, + whose underlying specification consists of a + DedicatedResources. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [ + parent, + deployment_resource_pool, + deployment_resource_pool_id, + ] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, + deployment_resource_pool_service.CreateDeploymentResourcePoolRequest, + ): + request = ( + deployment_resource_pool_service.CreateDeploymentResourcePoolRequest( + request + ) + ) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if deployment_resource_pool is not None: + request.deployment_resource_pool = deployment_resource_pool + if deployment_resource_pool_id is not None: + request.deployment_resource_pool_id = deployment_resource_pool_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_deployment_resource_pool + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gca_deployment_resource_pool.DeploymentResourcePool, + metadata_type=deployment_resource_pool_service.CreateDeploymentResourcePoolOperationMetadata, + ) + + # Done; return the response. + return response + + async def get_deployment_resource_pool( + self, + request: Optional[ + Union[ + deployment_resource_pool_service.GetDeploymentResourcePoolRequest, dict + ] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> deployment_resource_pool.DeploymentResourcePool: + r"""Get a DeploymentResourcePool. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_deployment_resource_pool(): + # Create a client + client = aiplatform_v1.DeploymentResourcePoolServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetDeploymentResourcePoolRequest( + name="name_value", + ) + + # Make the request + response = await client.get_deployment_resource_pool(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetDeploymentResourcePoolRequest, dict]]): + The request object. Request message for + GetDeploymentResourcePool method. + name (:class:`str`): + Required. The name of the DeploymentResourcePool to + retrieve. Format: + ``projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.DeploymentResourcePool: + A description of resources that can + be shared by multiple DeployedModels, + whose underlying specification consists + of a DedicatedResources. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, deployment_resource_pool_service.GetDeploymentResourcePoolRequest + ): + request = deployment_resource_pool_service.GetDeploymentResourcePoolRequest( + request + ) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_deployment_resource_pool + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_deployment_resource_pools( + self, + request: Optional[ + Union[ + deployment_resource_pool_service.ListDeploymentResourcePoolsRequest, + dict, + ] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListDeploymentResourcePoolsAsyncPager: + r"""List DeploymentResourcePools in a location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_deployment_resource_pools(): + # Create a client + client = aiplatform_v1.DeploymentResourcePoolServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListDeploymentResourcePoolsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_deployment_resource_pools(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListDeploymentResourcePoolsRequest, dict]]): + The request object. Request message for + ListDeploymentResourcePools method. + parent (:class:`str`): + Required. The parent Location which owns this collection + of DeploymentResourcePools. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.deployment_resource_pool_service.pagers.ListDeploymentResourcePoolsAsyncPager: + Response message for + ListDeploymentResourcePools method. + Iterating over this object will yield + results and resolve additional pages + automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, deployment_resource_pool_service.ListDeploymentResourcePoolsRequest + ): + request = ( + deployment_resource_pool_service.ListDeploymentResourcePoolsRequest( + request + ) + ) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_deployment_resource_pools + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListDeploymentResourcePoolsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def update_deployment_resource_pool( + self, + request: Optional[ + Union[ + deployment_resource_pool_service.UpdateDeploymentResourcePoolRequest, + dict, + ] + ] = None, + *, + deployment_resource_pool: Optional[ + gca_deployment_resource_pool.DeploymentResourcePool + ] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Update a DeploymentResourcePool. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_update_deployment_resource_pool(): + # Create a client + client = aiplatform_v1.DeploymentResourcePoolServiceAsyncClient() + + # Initialize request argument(s) + deployment_resource_pool = aiplatform_v1.DeploymentResourcePool() + deployment_resource_pool.dedicated_resources.min_replica_count = 1803 + + request = aiplatform_v1.UpdateDeploymentResourcePoolRequest( + deployment_resource_pool=deployment_resource_pool, + ) + + # Make the request + operation = client.update_deployment_resource_pool(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UpdateDeploymentResourcePoolRequest, dict]]): + The request object. Request message for + UpdateDeploymentResourcePool method. + deployment_resource_pool (:class:`google.cloud.aiplatform_v1.types.DeploymentResourcePool`): + Required. The DeploymentResourcePool to update. + + The DeploymentResourcePool's ``name`` field is used to + identify the DeploymentResourcePool to update. Format: + ``projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`` + + This corresponds to the ``deployment_resource_pool`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Required. The list of fields to + update. + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.DeploymentResourcePool` A description of resources that can be shared by multiple DeployedModels, + whose underlying specification consists of a + DedicatedResources. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [deployment_resource_pool, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, + deployment_resource_pool_service.UpdateDeploymentResourcePoolRequest, + ): + request = ( + deployment_resource_pool_service.UpdateDeploymentResourcePoolRequest( + request + ) + ) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if deployment_resource_pool is not None: + request.deployment_resource_pool = deployment_resource_pool + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.update_deployment_resource_pool + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + ( + ( + "deployment_resource_pool.name", + request.deployment_resource_pool.name, + ), + ) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gca_deployment_resource_pool.DeploymentResourcePool, + metadata_type=deployment_resource_pool_service.UpdateDeploymentResourcePoolOperationMetadata, + ) + + # Done; return the response. + return response + + async def delete_deployment_resource_pool( + self, + request: Optional[ + Union[ + deployment_resource_pool_service.DeleteDeploymentResourcePoolRequest, + dict, + ] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Delete a DeploymentResourcePool. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_deployment_resource_pool(): + # Create a client + client = aiplatform_v1.DeploymentResourcePoolServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteDeploymentResourcePoolRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_deployment_resource_pool(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteDeploymentResourcePoolRequest, dict]]): + The request object. Request message for + DeleteDeploymentResourcePool method. + name (:class:`str`): + Required. The name of the DeploymentResourcePool to + delete. Format: + ``projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, + deployment_resource_pool_service.DeleteDeploymentResourcePoolRequest, + ): + request = ( + deployment_resource_pool_service.DeleteDeploymentResourcePoolRequest( + request + ) + ) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_deployment_resource_pool + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def query_deployed_models( + self, + request: Optional[ + Union[deployment_resource_pool_service.QueryDeployedModelsRequest, dict] + ] = None, + *, + deployment_resource_pool: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.QueryDeployedModelsAsyncPager: + r"""List DeployedModels that have been deployed on this + DeploymentResourcePool. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_query_deployed_models(): + # Create a client + client = aiplatform_v1.DeploymentResourcePoolServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.QueryDeployedModelsRequest( + deployment_resource_pool="deployment_resource_pool_value", + ) + + # Make the request + page_result = client.query_deployed_models(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.QueryDeployedModelsRequest, dict]]): + The request object. Request message for + QueryDeployedModels method. + deployment_resource_pool (:class:`str`): + Required. The name of the target DeploymentResourcePool + to query. Format: + ``projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`` + + This corresponds to the ``deployment_resource_pool`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.deployment_resource_pool_service.pagers.QueryDeployedModelsAsyncPager: + Response message for + QueryDeployedModels method. + Iterating over this object will yield + results and resolve additional pages + automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [deployment_resource_pool] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, deployment_resource_pool_service.QueryDeployedModelsRequest + ): + request = deployment_resource_pool_service.QueryDeployedModelsRequest( + request + ) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if deployment_resource_pool is not None: + request.deployment_resource_pool = deployment_resource_pool + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.query_deployed_models + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("deployment_resource_pool", request.deployment_resource_pool),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.QueryDeployedModelsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[ + self._client._transport.test_iam_permissions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self) -> "DeploymentResourcePoolServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +__all__ = ("DeploymentResourcePoolServiceAsyncClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/client.py new file mode 100644 index 0000000000000000000000000000000000000000..9c59404b0b40ca5d325bcd8336f13c19ea41dccd --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/client.py @@ -0,0 +1,2498 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from http import HTTPStatus +import json +import logging as std_logging +import os +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, + cast, +) +import warnings + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + +from google.cloud.aiplatform_v1.services.deployment_resource_pool_service import pagers +from google.cloud.aiplatform_v1.types import deployment_resource_pool +from google.cloud.aiplatform_v1.types import ( + deployment_resource_pool as gca_deployment_resource_pool, +) +from google.cloud.aiplatform_v1.types import deployment_resource_pool_service +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import endpoint +from google.cloud.aiplatform_v1.types import machine_resources +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +from .transports.base import DeploymentResourcePoolServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import DeploymentResourcePoolServiceGrpcTransport +from .transports.grpc_asyncio import DeploymentResourcePoolServiceGrpcAsyncIOTransport +from .transports.rest import DeploymentResourcePoolServiceRestTransport + +try: + from .transports.rest_asyncio import AsyncDeploymentResourcePoolServiceRestTransport + + HAS_ASYNC_REST_DEPENDENCIES = True +except ImportError as e: # pragma: NO COVER + HAS_ASYNC_REST_DEPENDENCIES = False + ASYNC_REST_EXCEPTION = e + + +class DeploymentResourcePoolServiceClientMeta(type): + """Metaclass for the DeploymentResourcePoolService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + + _transport_registry = ( + OrderedDict() + ) # type: Dict[str, Type[DeploymentResourcePoolServiceTransport]] + _transport_registry["grpc"] = DeploymentResourcePoolServiceGrpcTransport + _transport_registry["grpc_asyncio"] = ( + DeploymentResourcePoolServiceGrpcAsyncIOTransport + ) + _transport_registry["rest"] = DeploymentResourcePoolServiceRestTransport + if HAS_ASYNC_REST_DEPENDENCIES: # pragma: NO COVER + _transport_registry["rest_asyncio"] = ( + AsyncDeploymentResourcePoolServiceRestTransport + ) + + def get_transport_class( + cls, + label: Optional[str] = None, + ) -> Type[DeploymentResourcePoolServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if ( + label == "rest_asyncio" and not HAS_ASYNC_REST_DEPENDENCIES + ): # pragma: NO COVER + raise ASYNC_REST_EXCEPTION + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class DeploymentResourcePoolServiceClient( + metaclass=DeploymentResourcePoolServiceClientMeta +): + """A service that manages the DeploymentResourcePool resource.""" + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "aiplatform.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @staticmethod + def _use_client_cert_effective(): + """Returns whether client certificate should be used for mTLS if the + google-auth version supports should_use_client_cert automatic mTLS enablement. + + Alternatively, read from the GOOGLE_API_USE_CLIENT_CERTIFICATE env var. + + Returns: + bool: whether client certificate should be used for mTLS + Raises: + ValueError: (If using a version of google-auth without should_use_client_cert and + GOOGLE_API_USE_CLIENT_CERTIFICATE is set to an unexpected value.) + """ + # check if google-auth version supports should_use_client_cert for automatic mTLS enablement + if hasattr(mtls, "should_use_client_cert"): # pragma: NO COVER + return mtls.should_use_client_cert() + else: # pragma: NO COVER + # if unsupported, fallback to reading from env var + use_client_cert_str = os.getenv( + "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false" + ).lower() + if use_client_cert_str not in ("true", "false"): + raise ValueError( + "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be" + " either `true` or `false`" + ) + return use_client_cert_str == "true" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DeploymentResourcePoolServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + DeploymentResourcePoolServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file(filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> DeploymentResourcePoolServiceTransport: + """Returns the transport used by the client instance. + + Returns: + DeploymentResourcePoolServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def deployment_resource_pool_path( + project: str, + location: str, + deployment_resource_pool: str, + ) -> str: + """Returns a fully-qualified deployment_resource_pool string.""" + return "projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}".format( + project=project, + location=location, + deployment_resource_pool=deployment_resource_pool, + ) + + @staticmethod + def parse_deployment_resource_pool_path(path: str) -> Dict[str, str]: + """Parses a deployment_resource_pool path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/deploymentResourcePools/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def endpoint_path( + project: str, + location: str, + endpoint: str, + ) -> str: + """Returns a fully-qualified endpoint string.""" + return "projects/{project}/locations/{location}/endpoints/{endpoint}".format( + project=project, + location=location, + endpoint=endpoint, + ) + + @staticmethod + def parse_endpoint_path(path: str) -> Dict[str, str]: + """Parses a endpoint path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/endpoints/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def model_path( + project: str, + location: str, + model: str, + ) -> str: + """Returns a fully-qualified model string.""" + return "projects/{project}/locations/{location}/models/{model}".format( + project=project, + location=location, + model=model, + ) + + @staticmethod + def parse_model_path(path: str) -> Dict[str, str]: + """Parses a model path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/models/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def reservation_path( + project_id_or_number: str, + zone: str, + reservation_name: str, + ) -> str: + """Returns a fully-qualified reservation string.""" + return "projects/{project_id_or_number}/zones/{zone}/reservations/{reservation_name}".format( + project_id_or_number=project_id_or_number, + zone=zone, + reservation_name=reservation_name, + ) + + @staticmethod + def parse_reservation_path(path: str) -> Dict[str, str]: + """Parses a reservation path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/zones/(?P.+?)/reservations/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path( + billing_account: str, + ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format( + billing_account=billing_account, + ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str, str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path( + folder: str, + ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format( + folder=folder, + ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str, str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path( + organization: str, + ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format( + organization=organization, + ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str, str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path( + project: str, + ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format( + project=project, + ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str, str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path( + project: str, + location: str, + ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format( + project=project, + location=location, + ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str, str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[client_options_lib.ClientOptions] = None + ): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn( + "get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning, + ) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = ( + DeploymentResourcePoolServiceClient._use_client_cert_effective() + ) + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert: + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = ( + DeploymentResourcePoolServiceClient._use_client_cert_effective() + ) + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + return use_client_cert, use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint( + api_override, client_cert_source, universe_domain, use_mtls_endpoint + ): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + _default_universe = DeploymentResourcePoolServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError( + f"mTLS is not supported in any universe other than {_default_universe}." + ) + api_endpoint = DeploymentResourcePoolServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = ( + DeploymentResourcePoolServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format( + UNIVERSE_DOMAIN=universe_domain + ) + ) + return api_endpoint + + @staticmethod + def _get_universe_domain( + client_universe_domain: Optional[str], universe_domain_env: Optional[str] + ) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = DeploymentResourcePoolServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + + # NOTE (b/349488459): universe validation is disabled until further notice. + return True + + def _add_cred_info_for_auth_errors( + self, error: core_exceptions.GoogleAPICallError + ) -> None: + """Adds credential info string to error details for 401/403/404 errors. + + Args: + error (google.api_core.exceptions.GoogleAPICallError): The error to add the cred info. + """ + if error.code not in [ + HTTPStatus.UNAUTHORIZED, + HTTPStatus.FORBIDDEN, + HTTPStatus.NOT_FOUND, + ]: + return + + cred = self._transport._credentials + + # get_cred_info is only available in google-auth>=2.35.0 + if not hasattr(cred, "get_cred_info"): + return + + # ignore the type check since pypy test fails when get_cred_info + # is not available + cred_info = cred.get_cred_info() # type: ignore + if cred_info and hasattr(error._details, "append"): + error._details.append(json.dumps(cred_info)) + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + DeploymentResourcePoolServiceTransport, + Callable[..., DeploymentResourcePoolServiceTransport], + ] + ] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the deployment resource pool service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,DeploymentResourcePoolServiceTransport,Callable[..., DeploymentResourcePoolServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the DeploymentResourcePoolServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast( + client_options_lib.ClientOptions, self._client_options + ) + + universe_domain_opt = getattr(self._client_options, "universe_domain", None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = ( + DeploymentResourcePoolServiceClient._read_environment_variables() + ) + self._client_cert_source = ( + DeploymentResourcePoolServiceClient._get_client_cert_source( + self._client_options.client_cert_source, self._use_client_cert + ) + ) + self._universe_domain = ( + DeploymentResourcePoolServiceClient._get_universe_domain( + universe_domain_opt, self._universe_domain_env + ) + ) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + if CLIENT_LOGGING_SUPPORTED: # pragma: NO COVER + # Setup logging. + client_logging.initialize_logging() + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError( + "client_options.api_key and credentials are mutually exclusive" + ) + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance( + transport, DeploymentResourcePoolServiceTransport + ) + if transport_provided: + # transport is a DeploymentResourcePoolServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError( + "When providing a transport instance, " + "provide its credentials directly." + ) + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(DeploymentResourcePoolServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = ( + self._api_endpoint + or DeploymentResourcePoolServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint, + ) + ) + + if not transport_provided: + transport_init: Union[ + Type[DeploymentResourcePoolServiceTransport], + Callable[..., DeploymentResourcePoolServiceTransport], + ] = ( + DeploymentResourcePoolServiceClient.get_transport_class(transport) + if isinstance(transport, str) or transport is None + else cast( + Callable[..., DeploymentResourcePoolServiceTransport], transport + ) + ) + + if "rest_asyncio" in str(transport_init): + unsupported_params = { + "google.api_core.client_options.ClientOptions.credentials_file": self._client_options.credentials_file, + "google.api_core.client_options.ClientOptions.scopes": self._client_options.scopes, + "google.api_core.client_options.ClientOptions.quota_project_id": self._client_options.quota_project_id, + "google.api_core.client_options.ClientOptions.client_cert_source": self._client_options.client_cert_source, + "google.api_core.client_options.ClientOptions.api_audience": self._client_options.api_audience, + } + provided_unsupported_params = [ + name + for name, value in unsupported_params.items() + if value is not None + ] + if provided_unsupported_params: + raise core_exceptions.AsyncRestUnsupportedParameterError( # type: ignore + f"The following provided parameters are not supported for `transport=rest_asyncio`: {', '.join(provided_unsupported_params)}" + ) + self._transport = transport_init( + credentials=credentials, + host=self._api_endpoint, + client_info=client_info, + ) + return + + import google.auth._default # type: ignore + + if api_key_value and hasattr( + google.auth._default, "get_api_key_credentials" + ): + credentials = google.auth._default.get_api_key_credentials( + api_key_value + ) + + # initialize with the provided callable or the passed in class + self._transport = transport_init( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + if "async" not in str(self._transport): + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "universeDomain": getattr( + self._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._transport._credentials).__module__}.{type(self._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, + "get_cred_info", + lambda: None, + )(), + } + if hasattr(self._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "credentialsType": None, + } + ), + ) + + def create_deployment_resource_pool( + self, + request: Optional[ + Union[ + deployment_resource_pool_service.CreateDeploymentResourcePoolRequest, + dict, + ] + ] = None, + *, + parent: Optional[str] = None, + deployment_resource_pool: Optional[ + gca_deployment_resource_pool.DeploymentResourcePool + ] = None, + deployment_resource_pool_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Create a DeploymentResourcePool. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_deployment_resource_pool(): + # Create a client + client = aiplatform_v1.DeploymentResourcePoolServiceClient() + + # Initialize request argument(s) + deployment_resource_pool = aiplatform_v1.DeploymentResourcePool() + deployment_resource_pool.dedicated_resources.min_replica_count = 1803 + + request = aiplatform_v1.CreateDeploymentResourcePoolRequest( + parent="parent_value", + deployment_resource_pool=deployment_resource_pool, + deployment_resource_pool_id="deployment_resource_pool_id_value", + ) + + # Make the request + operation = client.create_deployment_resource_pool(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateDeploymentResourcePoolRequest, dict]): + The request object. Request message for + CreateDeploymentResourcePool method. + parent (str): + Required. The parent location resource where this + DeploymentResourcePool will be created. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + deployment_resource_pool (google.cloud.aiplatform_v1.types.DeploymentResourcePool): + Required. The DeploymentResourcePool + to create. + + This corresponds to the ``deployment_resource_pool`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + deployment_resource_pool_id (str): + Required. The ID to use for the DeploymentResourcePool, + which will become the final component of the + DeploymentResourcePool's resource name. + + The maximum length is 63 characters, and valid + characters are ``/^[a-z]([a-z0-9-]{0,61}[a-z0-9])?$/``. + + This corresponds to the ``deployment_resource_pool_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.DeploymentResourcePool` A description of resources that can be shared by multiple DeployedModels, + whose underlying specification consists of a + DedicatedResources. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [ + parent, + deployment_resource_pool, + deployment_resource_pool_id, + ] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, + deployment_resource_pool_service.CreateDeploymentResourcePoolRequest, + ): + request = ( + deployment_resource_pool_service.CreateDeploymentResourcePoolRequest( + request + ) + ) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if deployment_resource_pool is not None: + request.deployment_resource_pool = deployment_resource_pool + if deployment_resource_pool_id is not None: + request.deployment_resource_pool_id = deployment_resource_pool_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.create_deployment_resource_pool + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + gca_deployment_resource_pool.DeploymentResourcePool, + metadata_type=deployment_resource_pool_service.CreateDeploymentResourcePoolOperationMetadata, + ) + + # Done; return the response. + return response + + def get_deployment_resource_pool( + self, + request: Optional[ + Union[ + deployment_resource_pool_service.GetDeploymentResourcePoolRequest, dict + ] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> deployment_resource_pool.DeploymentResourcePool: + r"""Get a DeploymentResourcePool. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_deployment_resource_pool(): + # Create a client + client = aiplatform_v1.DeploymentResourcePoolServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetDeploymentResourcePoolRequest( + name="name_value", + ) + + # Make the request + response = client.get_deployment_resource_pool(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetDeploymentResourcePoolRequest, dict]): + The request object. Request message for + GetDeploymentResourcePool method. + name (str): + Required. The name of the DeploymentResourcePool to + retrieve. Format: + ``projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.DeploymentResourcePool: + A description of resources that can + be shared by multiple DeployedModels, + whose underlying specification consists + of a DedicatedResources. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, deployment_resource_pool_service.GetDeploymentResourcePoolRequest + ): + request = deployment_resource_pool_service.GetDeploymentResourcePoolRequest( + request + ) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.get_deployment_resource_pool + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_deployment_resource_pools( + self, + request: Optional[ + Union[ + deployment_resource_pool_service.ListDeploymentResourcePoolsRequest, + dict, + ] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListDeploymentResourcePoolsPager: + r"""List DeploymentResourcePools in a location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_deployment_resource_pools(): + # Create a client + client = aiplatform_v1.DeploymentResourcePoolServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListDeploymentResourcePoolsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_deployment_resource_pools(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListDeploymentResourcePoolsRequest, dict]): + The request object. Request message for + ListDeploymentResourcePools method. + parent (str): + Required. The parent Location which owns this collection + of DeploymentResourcePools. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.deployment_resource_pool_service.pagers.ListDeploymentResourcePoolsPager: + Response message for + ListDeploymentResourcePools method. + Iterating over this object will yield + results and resolve additional pages + automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, deployment_resource_pool_service.ListDeploymentResourcePoolsRequest + ): + request = ( + deployment_resource_pool_service.ListDeploymentResourcePoolsRequest( + request + ) + ) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.list_deployment_resource_pools + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListDeploymentResourcePoolsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def update_deployment_resource_pool( + self, + request: Optional[ + Union[ + deployment_resource_pool_service.UpdateDeploymentResourcePoolRequest, + dict, + ] + ] = None, + *, + deployment_resource_pool: Optional[ + gca_deployment_resource_pool.DeploymentResourcePool + ] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Update a DeploymentResourcePool. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_update_deployment_resource_pool(): + # Create a client + client = aiplatform_v1.DeploymentResourcePoolServiceClient() + + # Initialize request argument(s) + deployment_resource_pool = aiplatform_v1.DeploymentResourcePool() + deployment_resource_pool.dedicated_resources.min_replica_count = 1803 + + request = aiplatform_v1.UpdateDeploymentResourcePoolRequest( + deployment_resource_pool=deployment_resource_pool, + ) + + # Make the request + operation = client.update_deployment_resource_pool(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UpdateDeploymentResourcePoolRequest, dict]): + The request object. Request message for + UpdateDeploymentResourcePool method. + deployment_resource_pool (google.cloud.aiplatform_v1.types.DeploymentResourcePool): + Required. The DeploymentResourcePool to update. + + The DeploymentResourcePool's ``name`` field is used to + identify the DeploymentResourcePool to update. Format: + ``projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`` + + This corresponds to the ``deployment_resource_pool`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Required. The list of fields to + update. + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.DeploymentResourcePool` A description of resources that can be shared by multiple DeployedModels, + whose underlying specification consists of a + DedicatedResources. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [deployment_resource_pool, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, + deployment_resource_pool_service.UpdateDeploymentResourcePoolRequest, + ): + request = ( + deployment_resource_pool_service.UpdateDeploymentResourcePoolRequest( + request + ) + ) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if deployment_resource_pool is not None: + request.deployment_resource_pool = deployment_resource_pool + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.update_deployment_resource_pool + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + ( + ( + "deployment_resource_pool.name", + request.deployment_resource_pool.name, + ), + ) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + gca_deployment_resource_pool.DeploymentResourcePool, + metadata_type=deployment_resource_pool_service.UpdateDeploymentResourcePoolOperationMetadata, + ) + + # Done; return the response. + return response + + def delete_deployment_resource_pool( + self, + request: Optional[ + Union[ + deployment_resource_pool_service.DeleteDeploymentResourcePoolRequest, + dict, + ] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Delete a DeploymentResourcePool. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_deployment_resource_pool(): + # Create a client + client = aiplatform_v1.DeploymentResourcePoolServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteDeploymentResourcePoolRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_deployment_resource_pool(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteDeploymentResourcePoolRequest, dict]): + The request object. Request message for + DeleteDeploymentResourcePool method. + name (str): + Required. The name of the DeploymentResourcePool to + delete. Format: + ``projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, + deployment_resource_pool_service.DeleteDeploymentResourcePoolRequest, + ): + request = ( + deployment_resource_pool_service.DeleteDeploymentResourcePoolRequest( + request + ) + ) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.delete_deployment_resource_pool + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def query_deployed_models( + self, + request: Optional[ + Union[deployment_resource_pool_service.QueryDeployedModelsRequest, dict] + ] = None, + *, + deployment_resource_pool: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.QueryDeployedModelsPager: + r"""List DeployedModels that have been deployed on this + DeploymentResourcePool. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_query_deployed_models(): + # Create a client + client = aiplatform_v1.DeploymentResourcePoolServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.QueryDeployedModelsRequest( + deployment_resource_pool="deployment_resource_pool_value", + ) + + # Make the request + page_result = client.query_deployed_models(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.QueryDeployedModelsRequest, dict]): + The request object. Request message for + QueryDeployedModels method. + deployment_resource_pool (str): + Required. The name of the target DeploymentResourcePool + to query. Format: + ``projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`` + + This corresponds to the ``deployment_resource_pool`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.deployment_resource_pool_service.pagers.QueryDeployedModelsPager: + Response message for + QueryDeployedModels method. + Iterating over this object will yield + results and resolve additional pages + automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [deployment_resource_pool] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, deployment_resource_pool_service.QueryDeployedModelsRequest + ): + request = deployment_resource_pool_service.QueryDeployedModelsRequest( + request + ) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if deployment_resource_pool is not None: + request.deployment_resource_pool = deployment_resource_pool + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.query_deployed_models] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("deployment_resource_pool", request.deployment_resource_pool),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.QueryDeployedModelsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def __enter__(self) -> "DeploymentResourcePoolServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + +__all__ = ("DeploymentResourcePoolServiceClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/pagers.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/pagers.py new file mode 100644 index 0000000000000000000000000000000000000000..44366d74ded6779256e0a7a9784fa9be38e81dde --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/pagers.py @@ -0,0 +1,385 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import retry_async as retries_async +from typing import ( + Any, + AsyncIterator, + Awaitable, + Callable, + Sequence, + Tuple, + Optional, + Iterator, + Union, +) + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] + OptionalAsyncRetry = Union[ + retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None + ] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.types import deployment_resource_pool +from google.cloud.aiplatform_v1.types import deployment_resource_pool_service +from google.cloud.aiplatform_v1.types import endpoint + + +class ListDeploymentResourcePoolsPager: + """A pager for iterating through ``list_deployment_resource_pools`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListDeploymentResourcePoolsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``deployment_resource_pools`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListDeploymentResourcePools`` requests and continue to iterate + through the ``deployment_resource_pools`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListDeploymentResourcePoolsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[ + ..., deployment_resource_pool_service.ListDeploymentResourcePoolsResponse + ], + request: deployment_resource_pool_service.ListDeploymentResourcePoolsRequest, + response: deployment_resource_pool_service.ListDeploymentResourcePoolsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListDeploymentResourcePoolsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListDeploymentResourcePoolsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = ( + deployment_resource_pool_service.ListDeploymentResourcePoolsRequest(request) + ) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages( + self, + ) -> Iterator[deployment_resource_pool_service.ListDeploymentResourcePoolsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[deployment_resource_pool.DeploymentResourcePool]: + for page in self.pages: + yield from page.deployment_resource_pools + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListDeploymentResourcePoolsAsyncPager: + """A pager for iterating through ``list_deployment_resource_pools`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListDeploymentResourcePoolsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``deployment_resource_pools`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListDeploymentResourcePools`` requests and continue to iterate + through the ``deployment_resource_pools`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListDeploymentResourcePoolsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[ + ..., + Awaitable[ + deployment_resource_pool_service.ListDeploymentResourcePoolsResponse + ], + ], + request: deployment_resource_pool_service.ListDeploymentResourcePoolsRequest, + response: deployment_resource_pool_service.ListDeploymentResourcePoolsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListDeploymentResourcePoolsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListDeploymentResourcePoolsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = ( + deployment_resource_pool_service.ListDeploymentResourcePoolsRequest(request) + ) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages( + self, + ) -> AsyncIterator[ + deployment_resource_pool_service.ListDeploymentResourcePoolsResponse + ]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__( + self, + ) -> AsyncIterator[deployment_resource_pool.DeploymentResourcePool]: + async def async_generator(): + async for page in self.pages: + for response in page.deployment_resource_pools: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class QueryDeployedModelsPager: + """A pager for iterating through ``query_deployed_models`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.QueryDeployedModelsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``deployed_models`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``QueryDeployedModels`` requests and continue to iterate + through the ``deployed_models`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.QueryDeployedModelsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[ + ..., deployment_resource_pool_service.QueryDeployedModelsResponse + ], + request: deployment_resource_pool_service.QueryDeployedModelsRequest, + response: deployment_resource_pool_service.QueryDeployedModelsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.QueryDeployedModelsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.QueryDeployedModelsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = deployment_resource_pool_service.QueryDeployedModelsRequest( + request + ) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages( + self, + ) -> Iterator[deployment_resource_pool_service.QueryDeployedModelsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[endpoint.DeployedModel]: + for page in self.pages: + yield from page.deployed_models + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class QueryDeployedModelsAsyncPager: + """A pager for iterating through ``query_deployed_models`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.QueryDeployedModelsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``deployed_models`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``QueryDeployedModels`` requests and continue to iterate + through the ``deployed_models`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.QueryDeployedModelsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[ + ..., Awaitable[deployment_resource_pool_service.QueryDeployedModelsResponse] + ], + request: deployment_resource_pool_service.QueryDeployedModelsRequest, + response: deployment_resource_pool_service.QueryDeployedModelsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.QueryDeployedModelsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.QueryDeployedModelsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = deployment_resource_pool_service.QueryDeployedModelsRequest( + request + ) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages( + self, + ) -> AsyncIterator[deployment_resource_pool_service.QueryDeployedModelsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[endpoint.DeployedModel]: + async def async_generator(): + async for page in self.pages: + for response in page.deployed_models: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/transports/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/transports/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..dad07c12b921b6ba7e4e9e47555924b6e0c410ab --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/transports/__init__.py @@ -0,0 +1,58 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from typing import Dict, Type, Tuple + +from .base import DeploymentResourcePoolServiceTransport +from .grpc import DeploymentResourcePoolServiceGrpcTransport +from .grpc_asyncio import DeploymentResourcePoolServiceGrpcAsyncIOTransport +from .rest import DeploymentResourcePoolServiceRestTransport +from .rest import DeploymentResourcePoolServiceRestInterceptor + +ASYNC_REST_CLASSES: Tuple[str, ...] +try: + from .rest_asyncio import AsyncDeploymentResourcePoolServiceRestTransport + from .rest_asyncio import AsyncDeploymentResourcePoolServiceRestInterceptor + + ASYNC_REST_CLASSES = ( + "AsyncDeploymentResourcePoolServiceRestTransport", + "AsyncDeploymentResourcePoolServiceRestInterceptor", + ) + HAS_REST_ASYNC = True +except ImportError: # pragma: NO COVER + ASYNC_REST_CLASSES = () + HAS_REST_ASYNC = False + + +# Compile a registry of transports. +_transport_registry = ( + OrderedDict() +) # type: Dict[str, Type[DeploymentResourcePoolServiceTransport]] +_transport_registry["grpc"] = DeploymentResourcePoolServiceGrpcTransport +_transport_registry["grpc_asyncio"] = DeploymentResourcePoolServiceGrpcAsyncIOTransport +_transport_registry["rest"] = DeploymentResourcePoolServiceRestTransport +if HAS_REST_ASYNC: # pragma: NO COVER + _transport_registry["rest_asyncio"] = ( + AsyncDeploymentResourcePoolServiceRestTransport + ) + +__all__ = ( + "DeploymentResourcePoolServiceTransport", + "DeploymentResourcePoolServiceGrpcTransport", + "DeploymentResourcePoolServiceGrpcAsyncIOTransport", + "DeploymentResourcePoolServiceRestTransport", + 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0000000000000000000000000000000000000000..678831a4580c5ed21798193f2966f29643d24b2c --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/transports/base.py @@ -0,0 +1,411 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import abc +from typing import Awaitable, Callable, Dict, Optional, Sequence, Union + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +import google.auth # type: ignore +import google.api_core +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import operations_v1 +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +from google.cloud.aiplatform_v1.types import deployment_resource_pool +from google.cloud.aiplatform_v1.types import deployment_resource_pool_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +class DeploymentResourcePoolServiceTransport(abc.ABC): + """Abstract transport class for DeploymentResourcePoolService.""" + + AUTH_SCOPES = ("https://www.googleapis.com/auth/cloud-platform",) + + DEFAULT_HOST: str = "aiplatform.googleapis.com" + + def __init__( + self, + *, + host: str = DEFAULT_HOST, + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + **kwargs, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. This argument will be + removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A list of scopes. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + """ + + # Save the scopes. + self._scopes = scopes + if not hasattr(self, "_ignore_credentials"): + self._ignore_credentials: bool = False + + # If no credentials are provided, then determine the appropriate + # defaults. + if credentials and credentials_file: + raise core_exceptions.DuplicateCredentialArgs( + "'credentials_file' and 'credentials' are mutually exclusive" + ) + + if credentials_file is not None: + credentials, _ = google.auth.load_credentials_from_file( + credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + default_scopes=self.AUTH_SCOPES, + ) + elif credentials is None and not self._ignore_credentials: + credentials, _ = google.auth.default( + scopes=scopes, + quota_project_id=quota_project_id, + default_scopes=self.AUTH_SCOPES, + ) + # Don't apply audience if the credentials file passed from user. + if hasattr(credentials, "with_gdch_audience"): + credentials = credentials.with_gdch_audience( + api_audience if api_audience else host + ) + + # If the credentials are service account credentials, then always try to use self signed JWT. + if ( + always_use_jwt_access + and isinstance(credentials, service_account.Credentials) + and hasattr(service_account.Credentials, "with_always_use_jwt_access") + ): + credentials = credentials.with_always_use_jwt_access(True) + + # Save the credentials. + self._credentials = credentials + + # Save the hostname. Default to port 443 (HTTPS) if none is specified. + if ":" not in host: + host += ":443" + self._host = host + + @property + def host(self): + return self._host + + def _prep_wrapped_messages(self, client_info): + # Precompute the wrapped methods. + self._wrapped_methods = { + self.create_deployment_resource_pool: gapic_v1.method.wrap_method( + self.create_deployment_resource_pool, + default_timeout=None, + client_info=client_info, + ), + self.get_deployment_resource_pool: gapic_v1.method.wrap_method( + self.get_deployment_resource_pool, + default_timeout=None, + client_info=client_info, + ), + self.list_deployment_resource_pools: gapic_v1.method.wrap_method( + self.list_deployment_resource_pools, + default_timeout=None, + client_info=client_info, + ), + self.update_deployment_resource_pool: gapic_v1.method.wrap_method( + self.update_deployment_resource_pool, + default_timeout=None, + client_info=client_info, + ), + self.delete_deployment_resource_pool: gapic_v1.method.wrap_method( + self.delete_deployment_resource_pool, + default_timeout=None, + client_info=client_info, + ), + self.query_deployed_models: gapic_v1.method.wrap_method( + self.query_deployed_models, + default_timeout=None, + client_info=client_info, + ), + self.get_location: gapic_v1.method.wrap_method( + self.get_location, + default_timeout=None, + client_info=client_info, + ), + self.list_locations: gapic_v1.method.wrap_method( + self.list_locations, + default_timeout=None, + client_info=client_info, + ), + self.get_iam_policy: gapic_v1.method.wrap_method( + self.get_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.set_iam_policy: gapic_v1.method.wrap_method( + self.set_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.test_iam_permissions: gapic_v1.method.wrap_method( + self.test_iam_permissions, + default_timeout=None, + client_info=client_info, + ), + self.cancel_operation: gapic_v1.method.wrap_method( + self.cancel_operation, + default_timeout=None, + client_info=client_info, + ), + self.delete_operation: gapic_v1.method.wrap_method( + self.delete_operation, + default_timeout=None, + client_info=client_info, + ), + self.get_operation: gapic_v1.method.wrap_method( + self.get_operation, + default_timeout=None, + client_info=client_info, + ), + self.list_operations: gapic_v1.method.wrap_method( + self.list_operations, + default_timeout=None, + client_info=client_info, + ), + self.wait_operation: gapic_v1.method.wrap_method( + self.wait_operation, + default_timeout=None, + client_info=client_info, + ), + } + + def close(self): + """Closes resources associated with the transport. + + .. warning:: + Only call this method if the transport is NOT shared + with other clients - this may cause errors in other clients! + """ + raise NotImplementedError() + + @property + def operations_client(self): + """Return the client designed to process long-running operations.""" + raise NotImplementedError() + + @property + def create_deployment_resource_pool( + self, + ) -> Callable[ + [deployment_resource_pool_service.CreateDeploymentResourcePoolRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def get_deployment_resource_pool( + self, + ) -> Callable[ + [deployment_resource_pool_service.GetDeploymentResourcePoolRequest], + Union[ + deployment_resource_pool.DeploymentResourcePool, + Awaitable[deployment_resource_pool.DeploymentResourcePool], + ], + ]: + raise NotImplementedError() + + @property + def list_deployment_resource_pools( + self, + ) -> Callable[ + [deployment_resource_pool_service.ListDeploymentResourcePoolsRequest], + Union[ + deployment_resource_pool_service.ListDeploymentResourcePoolsResponse, + Awaitable[ + deployment_resource_pool_service.ListDeploymentResourcePoolsResponse + ], + ], + ]: + raise NotImplementedError() + + @property + def update_deployment_resource_pool( + self, + ) -> Callable[ + [deployment_resource_pool_service.UpdateDeploymentResourcePoolRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def delete_deployment_resource_pool( + self, + ) -> Callable[ + [deployment_resource_pool_service.DeleteDeploymentResourcePoolRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def query_deployed_models( + self, + ) -> Callable[ + [deployment_resource_pool_service.QueryDeployedModelsRequest], + Union[ + deployment_resource_pool_service.QueryDeployedModelsResponse, + Awaitable[deployment_resource_pool_service.QueryDeployedModelsResponse], + ], + ]: + raise NotImplementedError() + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], + Union[ + operations_pb2.ListOperationsResponse, + Awaitable[operations_pb2.ListOperationsResponse], + ], + ]: + raise NotImplementedError() + + @property + def get_operation( + self, + ) -> Callable[ + [operations_pb2.GetOperationRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def cancel_operation( + self, + ) -> Callable[ + [operations_pb2.CancelOperationRequest], + None, + ]: + raise NotImplementedError() + + @property + def delete_operation( + self, + ) -> Callable[ + [operations_pb2.DeleteOperationRequest], + None, + ]: + raise NotImplementedError() + + @property + def wait_operation( + self, + ) -> Callable[ + [operations_pb2.WaitOperationRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def set_iam_policy( + self, + ) -> Callable[ + [iam_policy_pb2.SetIamPolicyRequest], + Union[policy_pb2.Policy, Awaitable[policy_pb2.Policy]], + ]: + raise NotImplementedError() + + @property + def get_iam_policy( + self, + ) -> Callable[ + [iam_policy_pb2.GetIamPolicyRequest], + Union[policy_pb2.Policy, Awaitable[policy_pb2.Policy]], + ]: + raise NotImplementedError() + + @property + def test_iam_permissions( + self, + ) -> Callable[ + [iam_policy_pb2.TestIamPermissionsRequest], + Union[ + iam_policy_pb2.TestIamPermissionsResponse, + Awaitable[iam_policy_pb2.TestIamPermissionsResponse], + ], + ]: + raise NotImplementedError() + + @property + def get_location( + self, + ) -> Callable[ + [locations_pb2.GetLocationRequest], + Union[locations_pb2.Location, Awaitable[locations_pb2.Location]], + ]: + raise NotImplementedError() + + @property + def list_locations( + self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], + Union[ + locations_pb2.ListLocationsResponse, + Awaitable[locations_pb2.ListLocationsResponse], + ], + ]: + raise NotImplementedError() + + @property + def kind(self) -> str: + raise NotImplementedError() + + +__all__ = ("DeploymentResourcePoolServiceTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/transports/grpc.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/transports/grpc.py new file mode 100644 index 0000000000000000000000000000000000000000..afb0a660c64bb606a2257d74ac56f756045c1ae0 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/transports/grpc.py @@ -0,0 +1,749 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import json +import logging as std_logging +import pickle +import warnings +from typing import Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import grpc_helpers +from google.api_core import operations_v1 +from google.api_core import gapic_v1 +import google.auth # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.protobuf.json_format import MessageToJson +import google.protobuf.message + +import grpc # type: ignore +import proto # type: ignore + +from google.cloud.aiplatform_v1.types import deployment_resource_pool +from google.cloud.aiplatform_v1.types import deployment_resource_pool_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .base import DeploymentResourcePoolServiceTransport, DEFAULT_CLIENT_INFO + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class _LoggingClientInterceptor(grpc.UnaryUnaryClientInterceptor): # pragma: NO COVER + def intercept_unary_unary(self, continuation, client_call_details, request): + logging_enabled = CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ) + if logging_enabled: # pragma: NO COVER + request_metadata = client_call_details.metadata + if isinstance(request, proto.Message): + request_payload = type(request).to_json(request) + elif isinstance(request, google.protobuf.message.Message): + request_payload = MessageToJson(request) + else: + request_payload = f"{type(request).__name__}: {pickle.dumps(request)}" + + request_metadata = { + key: value.decode("utf-8") if isinstance(value, bytes) else value + for key, value in request_metadata + } + grpc_request = { + "payload": request_payload, + "requestMethod": "grpc", + "metadata": dict(request_metadata), + } + _LOGGER.debug( + f"Sending request for {client_call_details.method}", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": str(client_call_details.method), + "request": grpc_request, + "metadata": grpc_request["metadata"], + }, + ) + response = continuation(client_call_details, request) + if logging_enabled: # pragma: NO COVER + response_metadata = response.trailing_metadata() + # Convert gRPC metadata `` to list of tuples + metadata = ( + dict([(k, str(v)) for k, v in response_metadata]) + if response_metadata + else None + ) + result = response.result() + if isinstance(result, proto.Message): + response_payload = type(result).to_json(result) + elif isinstance(result, google.protobuf.message.Message): + response_payload = MessageToJson(result) + else: + response_payload = f"{type(result).__name__}: {pickle.dumps(result)}" + grpc_response = { + "payload": response_payload, + "metadata": metadata, + "status": "OK", + } + _LOGGER.debug( + f"Received response for {client_call_details.method}.", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": client_call_details.method, + "response": grpc_response, + "metadata": grpc_response["metadata"], + }, + ) + return response + + +class DeploymentResourcePoolServiceGrpcTransport( + DeploymentResourcePoolServiceTransport +): + """gRPC backend transport for DeploymentResourcePoolService. + + A service that manages the DeploymentResourcePool resource. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + + _stubs: Dict[str, Callable] + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]] = None, + api_mtls_endpoint: Optional[str] = None, + client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if a ``channel`` instance is provided. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if a ``channel`` instance is provided. + This argument will be removed in the next major version of this library. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if a ``channel`` instance is provided. + channel (Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]]): + A ``Channel`` instance through which to make calls, or a Callable + that constructs and returns one. If set to None, ``self.create_channel`` + is used to create the channel. If a Callable is given, it will be called + with the same arguments as used in ``self.create_channel``. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if a ``channel`` instance is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + self._operations_client: Optional[operations_v1.OperationsClient] = None + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if isinstance(channel, grpc.Channel): + # Ignore credentials if a channel was passed. + credentials = None + self._ignore_credentials = True + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + # initialize with the provided callable or the default channel + channel_init = channel or type(self).create_channel + self._grpc_channel = channel_init( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + self._interceptor = _LoggingClientInterceptor() + self._logged_channel = grpc.intercept_channel( + self._grpc_channel, self._interceptor + ) + + # Wrap messages. This must be done after self._logged_channel exists + self._prep_wrapped_messages(client_info) + + @classmethod + def create_channel( + cls, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs, + ) -> grpc.Channel: + """Create and return a gRPC channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. This argument will be + removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + grpc.Channel: A gRPC channel object. + + Raises: + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + + return grpc_helpers.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs, + ) + + @property + def grpc_channel(self) -> grpc.Channel: + """Return the channel designed to connect to this service.""" + return self._grpc_channel + + @property + def operations_client(self) -> operations_v1.OperationsClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Quick check: Only create a new client if we do not already have one. + if self._operations_client is None: + self._operations_client = operations_v1.OperationsClient( + self._logged_channel + ) + + # Return the client from cache. + return self._operations_client + + @property + def create_deployment_resource_pool( + self, + ) -> Callable[ + [deployment_resource_pool_service.CreateDeploymentResourcePoolRequest], + operations_pb2.Operation, + ]: + r"""Return a callable for the create deployment resource + pool method over gRPC. + + Create a DeploymentResourcePool. + + Returns: + Callable[[~.CreateDeploymentResourcePoolRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "create_deployment_resource_pool" not in self._stubs: + self._stubs["create_deployment_resource_pool"] = ( + self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.DeploymentResourcePoolService/CreateDeploymentResourcePool", + request_serializer=deployment_resource_pool_service.CreateDeploymentResourcePoolRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + ) + return self._stubs["create_deployment_resource_pool"] + + @property + def get_deployment_resource_pool( + self, + ) -> Callable[ + [deployment_resource_pool_service.GetDeploymentResourcePoolRequest], + deployment_resource_pool.DeploymentResourcePool, + ]: + r"""Return a callable for the get deployment resource pool method over gRPC. + + Get a DeploymentResourcePool. + + Returns: + Callable[[~.GetDeploymentResourcePoolRequest], + ~.DeploymentResourcePool]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_deployment_resource_pool" not in self._stubs: + self._stubs["get_deployment_resource_pool"] = ( + self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.DeploymentResourcePoolService/GetDeploymentResourcePool", + request_serializer=deployment_resource_pool_service.GetDeploymentResourcePoolRequest.serialize, + response_deserializer=deployment_resource_pool.DeploymentResourcePool.deserialize, + ) + ) + return self._stubs["get_deployment_resource_pool"] + + @property + def list_deployment_resource_pools( + self, + ) -> Callable[ + [deployment_resource_pool_service.ListDeploymentResourcePoolsRequest], + deployment_resource_pool_service.ListDeploymentResourcePoolsResponse, + ]: + r"""Return a callable for the list deployment resource pools method over gRPC. + + List DeploymentResourcePools in a location. + + Returns: + Callable[[~.ListDeploymentResourcePoolsRequest], + ~.ListDeploymentResourcePoolsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_deployment_resource_pools" not in self._stubs: + self._stubs["list_deployment_resource_pools"] = ( + self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.DeploymentResourcePoolService/ListDeploymentResourcePools", + request_serializer=deployment_resource_pool_service.ListDeploymentResourcePoolsRequest.serialize, + response_deserializer=deployment_resource_pool_service.ListDeploymentResourcePoolsResponse.deserialize, + ) + ) + return self._stubs["list_deployment_resource_pools"] + + @property + def update_deployment_resource_pool( + self, + ) -> Callable[ + [deployment_resource_pool_service.UpdateDeploymentResourcePoolRequest], + operations_pb2.Operation, + ]: + r"""Return a callable for the update deployment resource + pool method over gRPC. + + Update a DeploymentResourcePool. + + Returns: + Callable[[~.UpdateDeploymentResourcePoolRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "update_deployment_resource_pool" not in self._stubs: + self._stubs["update_deployment_resource_pool"] = ( + self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.DeploymentResourcePoolService/UpdateDeploymentResourcePool", + request_serializer=deployment_resource_pool_service.UpdateDeploymentResourcePoolRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + ) + return self._stubs["update_deployment_resource_pool"] + + @property + def delete_deployment_resource_pool( + self, + ) -> Callable[ + [deployment_resource_pool_service.DeleteDeploymentResourcePoolRequest], + operations_pb2.Operation, + ]: + r"""Return a callable for the delete deployment resource + pool method over gRPC. + + Delete a DeploymentResourcePool. + + Returns: + Callable[[~.DeleteDeploymentResourcePoolRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_deployment_resource_pool" not in self._stubs: + self._stubs["delete_deployment_resource_pool"] = ( + self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.DeploymentResourcePoolService/DeleteDeploymentResourcePool", + request_serializer=deployment_resource_pool_service.DeleteDeploymentResourcePoolRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + ) + return self._stubs["delete_deployment_resource_pool"] + + @property + def query_deployed_models( + self, + ) -> Callable[ + [deployment_resource_pool_service.QueryDeployedModelsRequest], + deployment_resource_pool_service.QueryDeployedModelsResponse, + ]: + r"""Return a callable for the query deployed models method over gRPC. + + List DeployedModels that have been deployed on this + DeploymentResourcePool. + + Returns: + Callable[[~.QueryDeployedModelsRequest], + ~.QueryDeployedModelsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "query_deployed_models" not in self._stubs: + self._stubs["query_deployed_models"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.DeploymentResourcePoolService/QueryDeployedModels", + request_serializer=deployment_resource_pool_service.QueryDeployedModelsRequest.serialize, + response_deserializer=deployment_resource_pool_service.QueryDeployedModelsResponse.deserialize, + ) + return self._stubs["query_deployed_models"] + + def close(self): + self._logged_channel.close() + + @property + def delete_operation( + self, + ) -> Callable[[operations_pb2.DeleteOperationRequest], None]: + r"""Return a callable for the delete_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_operation" not in self._stubs: + self._stubs["delete_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/DeleteOperation", + request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["delete_operation"] + + @property + def cancel_operation( + self, + ) -> Callable[[operations_pb2.CancelOperationRequest], None]: + r"""Return a callable for the cancel_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "cancel_operation" not in self._stubs: + self._stubs["cancel_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/CancelOperation", + request_serializer=operations_pb2.CancelOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["cancel_operation"] + + @property + def wait_operation( + self, + ) -> Callable[[operations_pb2.WaitOperationRequest], None]: + r"""Return a callable for the wait_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "wait_operation" not in self._stubs: + self._stubs["wait_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/WaitOperation", + request_serializer=operations_pb2.WaitOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["wait_operation"] + + @property + def get_operation( + self, + ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]: + r"""Return a callable for the get_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_operation" not in self._stubs: + self._stubs["get_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/GetOperation", + request_serializer=operations_pb2.GetOperationRequest.SerializeToString, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["get_operation"] + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse + ]: + r"""Return a callable for the list_operations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_operations" not in self._stubs: + self._stubs["list_operations"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/ListOperations", + request_serializer=operations_pb2.ListOperationsRequest.SerializeToString, + response_deserializer=operations_pb2.ListOperationsResponse.FromString, + ) + return self._stubs["list_operations"] + + @property + def list_locations( + self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse + ]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_locations" not in self._stubs: + self._stubs["list_locations"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/ListLocations", + request_serializer=locations_pb2.ListLocationsRequest.SerializeToString, + response_deserializer=locations_pb2.ListLocationsResponse.FromString, + ) + return self._stubs["list_locations"] + + @property + def get_location( + self, + ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_location" not in self._stubs: + self._stubs["get_location"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/GetLocation", + request_serializer=locations_pb2.GetLocationRequest.SerializeToString, + response_deserializer=locations_pb2.Location.FromString, + ) + return self._stubs["get_location"] + + @property + def set_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.SetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the set iam policy method over gRPC. + Sets the IAM access control policy on the specified + function. Replaces any existing policy. + Returns: + Callable[[~.SetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "set_iam_policy" not in self._stubs: + self._stubs["set_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/SetIamPolicy", + request_serializer=iam_policy_pb2.SetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["set_iam_policy"] + + @property + def get_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.GetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the get iam policy method over gRPC. + Gets the IAM access control policy for a function. + Returns an empty policy if the function exists and does + not have a policy set. + Returns: + Callable[[~.GetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_iam_policy" not in self._stubs: + self._stubs["get_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/GetIamPolicy", + request_serializer=iam_policy_pb2.GetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["get_iam_policy"] + + @property + def test_iam_permissions( + self, + ) -> Callable[ + [iam_policy_pb2.TestIamPermissionsRequest], + iam_policy_pb2.TestIamPermissionsResponse, + ]: + r"""Return a callable for the test iam permissions method over gRPC. + Tests the specified permissions against the IAM access control + policy for a function. If the function does not exist, this will + return an empty set of permissions, not a NOT_FOUND error. + Returns: + Callable[[~.TestIamPermissionsRequest], + ~.TestIamPermissionsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "test_iam_permissions" not in self._stubs: + self._stubs["test_iam_permissions"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/TestIamPermissions", + request_serializer=iam_policy_pb2.TestIamPermissionsRequest.SerializeToString, + response_deserializer=iam_policy_pb2.TestIamPermissionsResponse.FromString, + ) + return self._stubs["test_iam_permissions"] + + @property + def kind(self) -> str: + return "grpc" + + +__all__ = ("DeploymentResourcePoolServiceGrpcTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/transports/grpc_asyncio.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/transports/grpc_asyncio.py new file mode 100644 index 0000000000000000000000000000000000000000..d18db93642eb587d26c934b119a581cae1b85e83 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/transports/grpc_asyncio.py @@ -0,0 +1,847 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import inspect +import json +import pickle +import logging as std_logging +import warnings +from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import gapic_v1 +from google.api_core import grpc_helpers_async +from google.api_core import exceptions as core_exceptions +from google.api_core import retry_async as retries +from google.api_core import operations_v1 +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.protobuf.json_format import MessageToJson +import google.protobuf.message + +import grpc # type: ignore +import proto # type: ignore +from grpc.experimental import aio # type: ignore + +from google.cloud.aiplatform_v1.types import deployment_resource_pool +from google.cloud.aiplatform_v1.types import deployment_resource_pool_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .base import DeploymentResourcePoolServiceTransport, DEFAULT_CLIENT_INFO +from .grpc import DeploymentResourcePoolServiceGrpcTransport + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class _LoggingClientAIOInterceptor( + grpc.aio.UnaryUnaryClientInterceptor +): # pragma: NO COVER + async def intercept_unary_unary(self, continuation, client_call_details, request): + logging_enabled = CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ) + if logging_enabled: # pragma: NO COVER + request_metadata = client_call_details.metadata + if isinstance(request, proto.Message): + request_payload = type(request).to_json(request) + elif isinstance(request, google.protobuf.message.Message): + request_payload = MessageToJson(request) + else: + request_payload = f"{type(request).__name__}: {pickle.dumps(request)}" + + request_metadata = { + key: value.decode("utf-8") if isinstance(value, bytes) else value + for key, value in request_metadata + } + grpc_request = { + "payload": request_payload, + "requestMethod": "grpc", + "metadata": dict(request_metadata), + } + _LOGGER.debug( + f"Sending request for {client_call_details.method}", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": str(client_call_details.method), + "request": grpc_request, + "metadata": grpc_request["metadata"], + }, + ) + response = await continuation(client_call_details, request) + if logging_enabled: # pragma: NO COVER + response_metadata = await response.trailing_metadata() + # Convert gRPC metadata `` to list of tuples + metadata = ( + dict([(k, str(v)) for k, v in response_metadata]) + if response_metadata + else None + ) + result = await response + if isinstance(result, proto.Message): + response_payload = type(result).to_json(result) + elif isinstance(result, google.protobuf.message.Message): + response_payload = MessageToJson(result) + else: + response_payload = f"{type(result).__name__}: {pickle.dumps(result)}" + grpc_response = { + "payload": response_payload, + "metadata": metadata, + "status": "OK", + } + _LOGGER.debug( + f"Received response to rpc {client_call_details.method}.", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": str(client_call_details.method), + "response": grpc_response, + "metadata": grpc_response["metadata"], + }, + ) + return response + + +class DeploymentResourcePoolServiceGrpcAsyncIOTransport( + DeploymentResourcePoolServiceTransport +): + """gRPC AsyncIO backend transport for DeploymentResourcePoolService. + + A service that manages the DeploymentResourcePool resource. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + + _grpc_channel: aio.Channel + _stubs: Dict[str, Callable] = {} + + @classmethod + def create_channel( + cls, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs, + ) -> aio.Channel: + """Create and return a gRPC AsyncIO channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. This argument will be + removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + aio.Channel: A gRPC AsyncIO channel object. + """ + + return grpc_helpers_async.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs, + ) + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: Optional[Union[aio.Channel, Callable[..., aio.Channel]]] = None, + api_mtls_endpoint: Optional[str] = None, + client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if a ``channel`` instance is provided. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if a ``channel`` instance is provided. + This argument will be removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + channel (Optional[Union[aio.Channel, Callable[..., aio.Channel]]]): + A ``Channel`` instance through which to make calls, or a Callable + that constructs and returns one. If set to None, ``self.create_channel`` + is used to create the channel. If a Callable is given, it will be called + with the same arguments as used in ``self.create_channel``. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if a ``channel`` instance is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if isinstance(channel, aio.Channel): + # Ignore credentials if a channel was passed. + credentials = None + self._ignore_credentials = True + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + # initialize with the provided callable or the default channel + channel_init = channel or type(self).create_channel + self._grpc_channel = channel_init( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + self._interceptor = _LoggingClientAIOInterceptor() + self._grpc_channel._unary_unary_interceptors.append(self._interceptor) + self._logged_channel = self._grpc_channel + self._wrap_with_kind = ( + "kind" in inspect.signature(gapic_v1.method_async.wrap_method).parameters + ) + # Wrap messages. This must be done after self._logged_channel exists + self._prep_wrapped_messages(client_info) + + @property + def grpc_channel(self) -> aio.Channel: + """Create the channel designed to connect to this service. + + This property caches on the instance; repeated calls return + the same channel. + """ + # Return the channel from cache. + return self._grpc_channel + + @property + def operations_client(self) -> operations_v1.OperationsAsyncClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Quick check: Only create a new client if we do not already have one. + if self._operations_client is None: + self._operations_client = operations_v1.OperationsAsyncClient( + self._logged_channel + ) + + # Return the client from cache. + return self._operations_client + + @property + def create_deployment_resource_pool( + self, + ) -> Callable[ + [deployment_resource_pool_service.CreateDeploymentResourcePoolRequest], + Awaitable[operations_pb2.Operation], + ]: + r"""Return a callable for the create deployment resource + pool method over gRPC. + + Create a DeploymentResourcePool. + + Returns: + Callable[[~.CreateDeploymentResourcePoolRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "create_deployment_resource_pool" not in self._stubs: + self._stubs["create_deployment_resource_pool"] = ( + self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.DeploymentResourcePoolService/CreateDeploymentResourcePool", + request_serializer=deployment_resource_pool_service.CreateDeploymentResourcePoolRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + ) + return self._stubs["create_deployment_resource_pool"] + + @property + def get_deployment_resource_pool( + self, + ) -> Callable[ + [deployment_resource_pool_service.GetDeploymentResourcePoolRequest], + Awaitable[deployment_resource_pool.DeploymentResourcePool], + ]: + r"""Return a callable for the get deployment resource pool method over gRPC. + + Get a DeploymentResourcePool. + + Returns: + Callable[[~.GetDeploymentResourcePoolRequest], + Awaitable[~.DeploymentResourcePool]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_deployment_resource_pool" not in self._stubs: + self._stubs["get_deployment_resource_pool"] = ( + self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.DeploymentResourcePoolService/GetDeploymentResourcePool", + request_serializer=deployment_resource_pool_service.GetDeploymentResourcePoolRequest.serialize, + response_deserializer=deployment_resource_pool.DeploymentResourcePool.deserialize, + ) + ) + return self._stubs["get_deployment_resource_pool"] + + @property + def list_deployment_resource_pools( + self, + ) -> Callable[ + [deployment_resource_pool_service.ListDeploymentResourcePoolsRequest], + Awaitable[deployment_resource_pool_service.ListDeploymentResourcePoolsResponse], + ]: + r"""Return a callable for the list deployment resource pools method over gRPC. + + List DeploymentResourcePools in a location. + + Returns: + Callable[[~.ListDeploymentResourcePoolsRequest], + Awaitable[~.ListDeploymentResourcePoolsResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_deployment_resource_pools" not in self._stubs: + self._stubs["list_deployment_resource_pools"] = ( + self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.DeploymentResourcePoolService/ListDeploymentResourcePools", + request_serializer=deployment_resource_pool_service.ListDeploymentResourcePoolsRequest.serialize, + response_deserializer=deployment_resource_pool_service.ListDeploymentResourcePoolsResponse.deserialize, + ) + ) + return self._stubs["list_deployment_resource_pools"] + + @property + def update_deployment_resource_pool( + self, + ) -> Callable[ + [deployment_resource_pool_service.UpdateDeploymentResourcePoolRequest], + Awaitable[operations_pb2.Operation], + ]: + r"""Return a callable for the update deployment resource + pool method over gRPC. + + Update a DeploymentResourcePool. + + Returns: + Callable[[~.UpdateDeploymentResourcePoolRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "update_deployment_resource_pool" not in self._stubs: + self._stubs["update_deployment_resource_pool"] = ( + self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.DeploymentResourcePoolService/UpdateDeploymentResourcePool", + request_serializer=deployment_resource_pool_service.UpdateDeploymentResourcePoolRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + ) + return self._stubs["update_deployment_resource_pool"] + + @property + def delete_deployment_resource_pool( + self, + ) -> Callable[ + [deployment_resource_pool_service.DeleteDeploymentResourcePoolRequest], + Awaitable[operations_pb2.Operation], + ]: + r"""Return a callable for the delete deployment resource + pool method over gRPC. + + Delete a DeploymentResourcePool. + + Returns: + Callable[[~.DeleteDeploymentResourcePoolRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_deployment_resource_pool" not in self._stubs: + self._stubs["delete_deployment_resource_pool"] = ( + self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.DeploymentResourcePoolService/DeleteDeploymentResourcePool", + request_serializer=deployment_resource_pool_service.DeleteDeploymentResourcePoolRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + ) + return self._stubs["delete_deployment_resource_pool"] + + @property + def query_deployed_models( + self, + ) -> Callable[ + [deployment_resource_pool_service.QueryDeployedModelsRequest], + Awaitable[deployment_resource_pool_service.QueryDeployedModelsResponse], + ]: + r"""Return a callable for the query deployed models method over gRPC. + + List DeployedModels that have been deployed on this + DeploymentResourcePool. + + Returns: + Callable[[~.QueryDeployedModelsRequest], + Awaitable[~.QueryDeployedModelsResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "query_deployed_models" not in self._stubs: + self._stubs["query_deployed_models"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.DeploymentResourcePoolService/QueryDeployedModels", + request_serializer=deployment_resource_pool_service.QueryDeployedModelsRequest.serialize, + response_deserializer=deployment_resource_pool_service.QueryDeployedModelsResponse.deserialize, + ) + return self._stubs["query_deployed_models"] + + def _prep_wrapped_messages(self, client_info): + """Precompute the wrapped methods, overriding the base class method to use async wrappers.""" + self._wrapped_methods = { + self.create_deployment_resource_pool: self._wrap_method( + self.create_deployment_resource_pool, + default_timeout=None, + client_info=client_info, + ), + self.get_deployment_resource_pool: self._wrap_method( + self.get_deployment_resource_pool, + default_timeout=None, + client_info=client_info, + ), + self.list_deployment_resource_pools: self._wrap_method( + self.list_deployment_resource_pools, + default_timeout=None, + client_info=client_info, + ), + self.update_deployment_resource_pool: self._wrap_method( + self.update_deployment_resource_pool, + default_timeout=None, + client_info=client_info, + ), + self.delete_deployment_resource_pool: self._wrap_method( + self.delete_deployment_resource_pool, + default_timeout=None, + client_info=client_info, + ), + self.query_deployed_models: self._wrap_method( + self.query_deployed_models, + default_timeout=None, + client_info=client_info, + ), + self.get_location: self._wrap_method( + self.get_location, + default_timeout=None, + client_info=client_info, + ), + self.list_locations: self._wrap_method( + self.list_locations, + default_timeout=None, + client_info=client_info, + ), + self.get_iam_policy: self._wrap_method( + self.get_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.set_iam_policy: self._wrap_method( + self.set_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.test_iam_permissions: self._wrap_method( + self.test_iam_permissions, + default_timeout=None, + client_info=client_info, + ), + self.cancel_operation: self._wrap_method( + self.cancel_operation, + default_timeout=None, + client_info=client_info, + ), + self.delete_operation: self._wrap_method( + self.delete_operation, + default_timeout=None, + client_info=client_info, + ), + self.get_operation: self._wrap_method( + self.get_operation, + default_timeout=None, + client_info=client_info, + ), + self.list_operations: self._wrap_method( + self.list_operations, + default_timeout=None, + client_info=client_info, + ), + self.wait_operation: self._wrap_method( + self.wait_operation, + default_timeout=None, + client_info=client_info, + ), + } + + def _wrap_method(self, func, *args, **kwargs): + if self._wrap_with_kind: # pragma: NO COVER + kwargs["kind"] = self.kind + return gapic_v1.method_async.wrap_method(func, *args, **kwargs) + + def close(self): + return self._logged_channel.close() + + @property + def kind(self) -> str: + return "grpc_asyncio" + + @property + def delete_operation( + self, + ) -> Callable[[operations_pb2.DeleteOperationRequest], None]: + r"""Return a callable for the delete_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_operation" not in self._stubs: + self._stubs["delete_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/DeleteOperation", + request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["delete_operation"] + + @property + def cancel_operation( + self, + ) -> Callable[[operations_pb2.CancelOperationRequest], None]: + r"""Return a callable for the cancel_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "cancel_operation" not in self._stubs: + self._stubs["cancel_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/CancelOperation", + request_serializer=operations_pb2.CancelOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["cancel_operation"] + + @property + def wait_operation( + self, + ) -> Callable[[operations_pb2.WaitOperationRequest], None]: + r"""Return a callable for the wait_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "wait_operation" not in self._stubs: + self._stubs["wait_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/WaitOperation", + request_serializer=operations_pb2.WaitOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["wait_operation"] + + @property + def get_operation( + self, + ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]: + r"""Return a callable for the get_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_operation" not in self._stubs: + self._stubs["get_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/GetOperation", + request_serializer=operations_pb2.GetOperationRequest.SerializeToString, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["get_operation"] + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse + ]: + r"""Return a callable for the list_operations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_operations" not in self._stubs: + self._stubs["list_operations"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/ListOperations", + request_serializer=operations_pb2.ListOperationsRequest.SerializeToString, + response_deserializer=operations_pb2.ListOperationsResponse.FromString, + ) + return self._stubs["list_operations"] + + @property + def list_locations( + self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse + ]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_locations" not in self._stubs: + self._stubs["list_locations"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/ListLocations", + request_serializer=locations_pb2.ListLocationsRequest.SerializeToString, + response_deserializer=locations_pb2.ListLocationsResponse.FromString, + ) + return self._stubs["list_locations"] + + @property + def get_location( + self, + ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_location" not in self._stubs: + self._stubs["get_location"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/GetLocation", + request_serializer=locations_pb2.GetLocationRequest.SerializeToString, + response_deserializer=locations_pb2.Location.FromString, + ) + return self._stubs["get_location"] + + @property + def set_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.SetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the set iam policy method over gRPC. + Sets the IAM access control policy on the specified + function. Replaces any existing policy. + Returns: + Callable[[~.SetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "set_iam_policy" not in self._stubs: + self._stubs["set_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/SetIamPolicy", + request_serializer=iam_policy_pb2.SetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["set_iam_policy"] + + @property + def get_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.GetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the get iam policy method over gRPC. + Gets the IAM access control policy for a function. + Returns an empty policy if the function exists and does + not have a policy set. + Returns: + Callable[[~.GetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_iam_policy" not in self._stubs: + self._stubs["get_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/GetIamPolicy", + request_serializer=iam_policy_pb2.GetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["get_iam_policy"] + + @property + def test_iam_permissions( + self, + ) -> Callable[ + [iam_policy_pb2.TestIamPermissionsRequest], + iam_policy_pb2.TestIamPermissionsResponse, + ]: + r"""Return a callable for the test iam permissions method over gRPC. + Tests the specified permissions against the IAM access control + policy for a function. If the function does not exist, this will + return an empty set of permissions, not a NOT_FOUND error. + Returns: + Callable[[~.TestIamPermissionsRequest], + ~.TestIamPermissionsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "test_iam_permissions" not in self._stubs: + self._stubs["test_iam_permissions"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/TestIamPermissions", + request_serializer=iam_policy_pb2.TestIamPermissionsRequest.SerializeToString, + response_deserializer=iam_policy_pb2.TestIamPermissionsResponse.FromString, + ) + return self._stubs["test_iam_permissions"] + + +__all__ = ("DeploymentResourcePoolServiceGrpcAsyncIOTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/transports/rest.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/transports/rest.py new file mode 100644 index 0000000000000000000000000000000000000000..3e1c4c6385b64107361f9aa69c9ca180efb5b6a2 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/transports/rest.py @@ -0,0 +1,5195 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging +import json # type: ignore + +from google.auth.transport.requests import AuthorizedSession # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.api_core import exceptions as core_exceptions +from google.api_core import retry as retries +from google.api_core import rest_helpers +from google.api_core import rest_streaming +from google.api_core import gapic_v1 +import google.protobuf + +from google.protobuf import json_format +from google.api_core import operations_v1 +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore + +from requests import __version__ as requests_version +import dataclasses +from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union +import warnings + + +from google.cloud.aiplatform_v1.types import deployment_resource_pool +from google.cloud.aiplatform_v1.types import deployment_resource_pool_service +from google.longrunning import operations_pb2 # type: ignore + + +from .rest_base import _BaseDeploymentResourcePoolServiceRestTransport +from .base import DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = logging.getLogger(__name__) + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version, + grpc_version=None, + rest_version=f"requests@{requests_version}", +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +class DeploymentResourcePoolServiceRestInterceptor: + """Interceptor for DeploymentResourcePoolService. + + Interceptors are used to manipulate requests, request metadata, and responses + in arbitrary ways. + Example use cases include: + * Logging + * Verifying requests according to service or custom semantics + * Stripping extraneous information from responses + + These use cases and more can be enabled by injecting an + instance of a custom subclass when constructing the DeploymentResourcePoolServiceRestTransport. + + .. code-block:: python + class MyCustomDeploymentResourcePoolServiceInterceptor(DeploymentResourcePoolServiceRestInterceptor): + def pre_create_deployment_resource_pool(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_create_deployment_resource_pool(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_delete_deployment_resource_pool(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_delete_deployment_resource_pool(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_get_deployment_resource_pool(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_get_deployment_resource_pool(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_list_deployment_resource_pools(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_list_deployment_resource_pools(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_query_deployed_models(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_query_deployed_models(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_update_deployment_resource_pool(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_update_deployment_resource_pool(self, response): + logging.log(f"Received response: {response}") + return response + + transport = DeploymentResourcePoolServiceRestTransport(interceptor=MyCustomDeploymentResourcePoolServiceInterceptor()) + client = DeploymentResourcePoolServiceClient(transport=transport) + + + """ + + def pre_create_deployment_resource_pool( + self, + request: deployment_resource_pool_service.CreateDeploymentResourcePoolRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + deployment_resource_pool_service.CreateDeploymentResourcePoolRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for create_deployment_resource_pool + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + def post_create_deployment_resource_pool( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for create_deployment_resource_pool + + DEPRECATED. Please use the `post_create_deployment_resource_pool_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. This `post_create_deployment_resource_pool` interceptor runs + before the `post_create_deployment_resource_pool_with_metadata` interceptor. + """ + return response + + def post_create_deployment_resource_pool_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for create_deployment_resource_pool + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the DeploymentResourcePoolService server but before it is returned to user code. + + We recommend only using this `post_create_deployment_resource_pool_with_metadata` + interceptor in new development instead of the `post_create_deployment_resource_pool` interceptor. + When both interceptors are used, this `post_create_deployment_resource_pool_with_metadata` interceptor runs after the + `post_create_deployment_resource_pool` interceptor. The (possibly modified) response returned by + `post_create_deployment_resource_pool` will be passed to + `post_create_deployment_resource_pool_with_metadata`. + """ + return response, metadata + + def pre_delete_deployment_resource_pool( + self, + request: deployment_resource_pool_service.DeleteDeploymentResourcePoolRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + deployment_resource_pool_service.DeleteDeploymentResourcePoolRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for delete_deployment_resource_pool + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + def post_delete_deployment_resource_pool( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for delete_deployment_resource_pool + + DEPRECATED. Please use the `post_delete_deployment_resource_pool_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. This `post_delete_deployment_resource_pool` interceptor runs + before the `post_delete_deployment_resource_pool_with_metadata` interceptor. + """ + return response + + def post_delete_deployment_resource_pool_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for delete_deployment_resource_pool + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the DeploymentResourcePoolService server but before it is returned to user code. + + We recommend only using this `post_delete_deployment_resource_pool_with_metadata` + interceptor in new development instead of the `post_delete_deployment_resource_pool` interceptor. + When both interceptors are used, this `post_delete_deployment_resource_pool_with_metadata` interceptor runs after the + `post_delete_deployment_resource_pool` interceptor. The (possibly modified) response returned by + `post_delete_deployment_resource_pool` will be passed to + `post_delete_deployment_resource_pool_with_metadata`. + """ + return response, metadata + + def pre_get_deployment_resource_pool( + self, + request: deployment_resource_pool_service.GetDeploymentResourcePoolRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + deployment_resource_pool_service.GetDeploymentResourcePoolRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for get_deployment_resource_pool + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + def post_get_deployment_resource_pool( + self, response: deployment_resource_pool.DeploymentResourcePool + ) -> deployment_resource_pool.DeploymentResourcePool: + """Post-rpc interceptor for get_deployment_resource_pool + + DEPRECATED. Please use the `post_get_deployment_resource_pool_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. This `post_get_deployment_resource_pool` interceptor runs + before the `post_get_deployment_resource_pool_with_metadata` interceptor. + """ + return response + + def post_get_deployment_resource_pool_with_metadata( + self, + response: deployment_resource_pool.DeploymentResourcePool, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + deployment_resource_pool.DeploymentResourcePool, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for get_deployment_resource_pool + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the DeploymentResourcePoolService server but before it is returned to user code. + + We recommend only using this `post_get_deployment_resource_pool_with_metadata` + interceptor in new development instead of the `post_get_deployment_resource_pool` interceptor. + When both interceptors are used, this `post_get_deployment_resource_pool_with_metadata` interceptor runs after the + `post_get_deployment_resource_pool` interceptor. The (possibly modified) response returned by + `post_get_deployment_resource_pool` will be passed to + `post_get_deployment_resource_pool_with_metadata`. + """ + return response, metadata + + def pre_list_deployment_resource_pools( + self, + request: deployment_resource_pool_service.ListDeploymentResourcePoolsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + deployment_resource_pool_service.ListDeploymentResourcePoolsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for list_deployment_resource_pools + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + def post_list_deployment_resource_pools( + self, + response: deployment_resource_pool_service.ListDeploymentResourcePoolsResponse, + ) -> deployment_resource_pool_service.ListDeploymentResourcePoolsResponse: + """Post-rpc interceptor for list_deployment_resource_pools + + DEPRECATED. Please use the `post_list_deployment_resource_pools_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. This `post_list_deployment_resource_pools` interceptor runs + before the `post_list_deployment_resource_pools_with_metadata` interceptor. + """ + return response + + def post_list_deployment_resource_pools_with_metadata( + self, + response: deployment_resource_pool_service.ListDeploymentResourcePoolsResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + deployment_resource_pool_service.ListDeploymentResourcePoolsResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for list_deployment_resource_pools + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the DeploymentResourcePoolService server but before it is returned to user code. + + We recommend only using this `post_list_deployment_resource_pools_with_metadata` + interceptor in new development instead of the `post_list_deployment_resource_pools` interceptor. + When both interceptors are used, this `post_list_deployment_resource_pools_with_metadata` interceptor runs after the + `post_list_deployment_resource_pools` interceptor. The (possibly modified) response returned by + `post_list_deployment_resource_pools` will be passed to + `post_list_deployment_resource_pools_with_metadata`. + """ + return response, metadata + + def pre_query_deployed_models( + self, + request: deployment_resource_pool_service.QueryDeployedModelsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + deployment_resource_pool_service.QueryDeployedModelsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for query_deployed_models + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + def post_query_deployed_models( + self, response: deployment_resource_pool_service.QueryDeployedModelsResponse + ) -> deployment_resource_pool_service.QueryDeployedModelsResponse: + """Post-rpc interceptor for query_deployed_models + + DEPRECATED. Please use the `post_query_deployed_models_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. This `post_query_deployed_models` interceptor runs + before the `post_query_deployed_models_with_metadata` interceptor. + """ + return response + + def post_query_deployed_models_with_metadata( + self, + response: deployment_resource_pool_service.QueryDeployedModelsResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + deployment_resource_pool_service.QueryDeployedModelsResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for query_deployed_models + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the DeploymentResourcePoolService server but before it is returned to user code. + + We recommend only using this `post_query_deployed_models_with_metadata` + interceptor in new development instead of the `post_query_deployed_models` interceptor. + When both interceptors are used, this `post_query_deployed_models_with_metadata` interceptor runs after the + `post_query_deployed_models` interceptor. The (possibly modified) response returned by + `post_query_deployed_models` will be passed to + `post_query_deployed_models_with_metadata`. + """ + return response, metadata + + def pre_update_deployment_resource_pool( + self, + request: deployment_resource_pool_service.UpdateDeploymentResourcePoolRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + deployment_resource_pool_service.UpdateDeploymentResourcePoolRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for update_deployment_resource_pool + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + def post_update_deployment_resource_pool( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for update_deployment_resource_pool + + DEPRECATED. Please use the `post_update_deployment_resource_pool_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. This `post_update_deployment_resource_pool` interceptor runs + before the `post_update_deployment_resource_pool_with_metadata` interceptor. + """ + return response + + def post_update_deployment_resource_pool_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for update_deployment_resource_pool + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the DeploymentResourcePoolService server but before it is returned to user code. + + We recommend only using this `post_update_deployment_resource_pool_with_metadata` + interceptor in new development instead of the `post_update_deployment_resource_pool` interceptor. + When both interceptors are used, this `post_update_deployment_resource_pool_with_metadata` interceptor runs after the + `post_update_deployment_resource_pool` interceptor. The (possibly modified) response returned by + `post_update_deployment_resource_pool` will be passed to + `post_update_deployment_resource_pool_with_metadata`. + """ + return response, metadata + + def pre_get_location( + self, + request: locations_pb2.GetLocationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.GetLocationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_location + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + def post_get_location( + self, response: locations_pb2.Location + ) -> locations_pb2.Location: + """Post-rpc interceptor for get_location + + Override in a subclass to manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. + """ + return response + + def pre_list_locations( + self, + request: locations_pb2.ListLocationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.ListLocationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_locations + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + def post_list_locations( + self, response: locations_pb2.ListLocationsResponse + ) -> locations_pb2.ListLocationsResponse: + """Post-rpc interceptor for list_locations + + Override in a subclass to manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. + """ + return response + + def pre_get_iam_policy( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.GetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + def post_get_iam_policy(self, response: policy_pb2.Policy) -> policy_pb2.Policy: + """Post-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. + """ + return response + + def pre_set_iam_policy( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.SetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + def post_set_iam_policy(self, response: policy_pb2.Policy) -> policy_pb2.Policy: + """Post-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. + """ + return response + + def pre_test_iam_permissions( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.TestIamPermissionsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + def post_test_iam_permissions( + self, response: iam_policy_pb2.TestIamPermissionsResponse + ) -> iam_policy_pb2.TestIamPermissionsResponse: + """Post-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. + """ + return response + + def pre_cancel_operation( + self, + request: operations_pb2.CancelOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.CancelOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + def post_cancel_operation(self, response: None) -> None: + """Post-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. + """ + return response + + def pre_delete_operation( + self, + request: operations_pb2.DeleteOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.DeleteOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for delete_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + def post_delete_operation(self, response: None) -> None: + """Post-rpc interceptor for delete_operation + + Override in a subclass to manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. + """ + return response + + def pre_get_operation( + self, + request: operations_pb2.GetOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.GetOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + def post_get_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for get_operation + + Override in a subclass to manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. + """ + return response + + def pre_list_operations( + self, + request: operations_pb2.ListOperationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.ListOperationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_operations + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + def post_list_operations( + self, response: operations_pb2.ListOperationsResponse + ) -> operations_pb2.ListOperationsResponse: + """Post-rpc interceptor for list_operations + + Override in a subclass to manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. + """ + return response + + def pre_wait_operation( + self, + request: operations_pb2.WaitOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.WaitOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for wait_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + def post_wait_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for wait_operation + + Override in a subclass to manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. + """ + return response + + +@dataclasses.dataclass +class DeploymentResourcePoolServiceRestStub: + _session: AuthorizedSession + _host: str + _interceptor: DeploymentResourcePoolServiceRestInterceptor + + +class DeploymentResourcePoolServiceRestTransport( + _BaseDeploymentResourcePoolServiceRestTransport +): + """REST backend synchronous transport for DeploymentResourcePoolService. + + A service that manages the DeploymentResourcePool resource. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + """ + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + url_scheme: str = "https", + interceptor: Optional[DeploymentResourcePoolServiceRestInterceptor] = None, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. This argument will be + removed in the next major version of this library. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if ``channel`` is provided. + client_cert_source_for_mtls (Callable[[], Tuple[bytes, bytes]]): Client + certificate to configure mutual TLS HTTP channel. It is ignored + if ``channel`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + url_scheme: the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + # TODO(yon-mg): resolve other ctor params i.e. scopes, quota, etc. + # TODO: When custom host (api_endpoint) is set, `scopes` must *also* be set on the + # credentials object + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + url_scheme=url_scheme, + api_audience=api_audience, + ) + self._session = AuthorizedSession( + self._credentials, default_host=self.DEFAULT_HOST + ) + self._operations_client: Optional[operations_v1.AbstractOperationsClient] = None + if client_cert_source_for_mtls: + self._session.configure_mtls_channel(client_cert_source_for_mtls) + self._interceptor = ( + interceptor or DeploymentResourcePoolServiceRestInterceptor() + ) + self._prep_wrapped_messages(client_info) + + @property + def operations_client(self) -> operations_v1.AbstractOperationsClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Only create a new client if we do not already have one. + if self._operations_client is None: + http_options: Dict[str, List[Dict[str, str]]] = { + "google.longrunning.Operations.CancelOperation": [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + 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"/ui/{name=projects/*/locations/*/agents/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/apps/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensions/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/schedules/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/schedules/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=reasoningEngines/*/sessions/*}/operations", + }, + ], + "google.longrunning.Operations.WaitOperation": [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:wait", + }, + ], + } + + rest_transport = operations_v1.OperationsRestTransport( + host=self._host, + # use the credentials which are saved + credentials=self._credentials, + scopes=self._scopes, + http_options=http_options, + path_prefix="v1", + ) + + self._operations_client = operations_v1.AbstractOperationsClient( + transport=rest_transport + ) + + # Return the client from cache. + return self._operations_client + + class _CreateDeploymentResourcePool( + _BaseDeploymentResourcePoolServiceRestTransport._BaseCreateDeploymentResourcePool, + DeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash( + "DeploymentResourcePoolServiceRestTransport.CreateDeploymentResourcePool" + ) + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: deployment_resource_pool_service.CreateDeploymentResourcePoolRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the create deployment + resource pool method over HTTP. + + Args: + request (~.deployment_resource_pool_service.CreateDeploymentResourcePoolRequest): + The request object. Request message for + CreateDeploymentResourcePool method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseCreateDeploymentResourcePool._get_http_options() + ) + + request, metadata = self._interceptor.pre_create_deployment_resource_pool( + request, metadata + ) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseCreateDeploymentResourcePool._get_transcoded_request( + http_options, request + ) + + body = _BaseDeploymentResourcePoolServiceRestTransport._BaseCreateDeploymentResourcePool._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseCreateDeploymentResourcePool._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.CreateDeploymentResourcePool", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "CreateDeploymentResourcePool", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = DeploymentResourcePoolServiceRestTransport._CreateDeploymentResourcePool._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_create_deployment_resource_pool(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = ( + self._interceptor.post_create_deployment_resource_pool_with_metadata( + resp, response_metadata + ) + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.create_deployment_resource_pool", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "CreateDeploymentResourcePool", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _DeleteDeploymentResourcePool( + _BaseDeploymentResourcePoolServiceRestTransport._BaseDeleteDeploymentResourcePool, + DeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash( + "DeploymentResourcePoolServiceRestTransport.DeleteDeploymentResourcePool" + ) + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: deployment_resource_pool_service.DeleteDeploymentResourcePoolRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the delete deployment + resource pool method over HTTP. + + Args: + request (~.deployment_resource_pool_service.DeleteDeploymentResourcePoolRequest): + The request object. Request message for + DeleteDeploymentResourcePool method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseDeleteDeploymentResourcePool._get_http_options() + ) + + request, metadata = self._interceptor.pre_delete_deployment_resource_pool( + request, metadata + ) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseDeleteDeploymentResourcePool._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseDeleteDeploymentResourcePool._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.DeleteDeploymentResourcePool", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "DeleteDeploymentResourcePool", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = DeploymentResourcePoolServiceRestTransport._DeleteDeploymentResourcePool._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_delete_deployment_resource_pool(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = ( + self._interceptor.post_delete_deployment_resource_pool_with_metadata( + resp, response_metadata + ) + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.delete_deployment_resource_pool", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "DeleteDeploymentResourcePool", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _GetDeploymentResourcePool( + _BaseDeploymentResourcePoolServiceRestTransport._BaseGetDeploymentResourcePool, + DeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash( + "DeploymentResourcePoolServiceRestTransport.GetDeploymentResourcePool" + ) + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: deployment_resource_pool_service.GetDeploymentResourcePoolRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> deployment_resource_pool.DeploymentResourcePool: + r"""Call the get deployment resource + pool method over HTTP. + + Args: + request (~.deployment_resource_pool_service.GetDeploymentResourcePoolRequest): + The request object. Request message for + GetDeploymentResourcePool method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.deployment_resource_pool.DeploymentResourcePool: + A description of resources that can + be shared by multiple DeployedModels, + whose underlying specification consists + of a DedicatedResources. + + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseGetDeploymentResourcePool._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_deployment_resource_pool( + request, metadata + ) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseGetDeploymentResourcePool._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseGetDeploymentResourcePool._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.GetDeploymentResourcePool", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "GetDeploymentResourcePool", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = DeploymentResourcePoolServiceRestTransport._GetDeploymentResourcePool._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = deployment_resource_pool.DeploymentResourcePool() + pb_resp = deployment_resource_pool.DeploymentResourcePool.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_get_deployment_resource_pool(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_get_deployment_resource_pool_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = ( + deployment_resource_pool.DeploymentResourcePool.to_json( + response + ) + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.get_deployment_resource_pool", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "GetDeploymentResourcePool", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _ListDeploymentResourcePools( + _BaseDeploymentResourcePoolServiceRestTransport._BaseListDeploymentResourcePools, + DeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash( + "DeploymentResourcePoolServiceRestTransport.ListDeploymentResourcePools" + ) + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: deployment_resource_pool_service.ListDeploymentResourcePoolsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> deployment_resource_pool_service.ListDeploymentResourcePoolsResponse: + r"""Call the list deployment resource + pools method over HTTP. + + Args: + request (~.deployment_resource_pool_service.ListDeploymentResourcePoolsRequest): + The request object. Request message for + ListDeploymentResourcePools method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.deployment_resource_pool_service.ListDeploymentResourcePoolsResponse: + Response message for + ListDeploymentResourcePools method. + + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseListDeploymentResourcePools._get_http_options() + ) + + request, metadata = self._interceptor.pre_list_deployment_resource_pools( + request, metadata + ) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseListDeploymentResourcePools._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseListDeploymentResourcePools._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.ListDeploymentResourcePools", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "ListDeploymentResourcePools", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = DeploymentResourcePoolServiceRestTransport._ListDeploymentResourcePools._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = ( + deployment_resource_pool_service.ListDeploymentResourcePoolsResponse() + ) + pb_resp = ( + deployment_resource_pool_service.ListDeploymentResourcePoolsResponse.pb( + resp + ) + ) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_list_deployment_resource_pools(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = ( + self._interceptor.post_list_deployment_resource_pools_with_metadata( + resp, response_metadata + ) + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = deployment_resource_pool_service.ListDeploymentResourcePoolsResponse.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.list_deployment_resource_pools", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "ListDeploymentResourcePools", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _QueryDeployedModels( + _BaseDeploymentResourcePoolServiceRestTransport._BaseQueryDeployedModels, + DeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash( + "DeploymentResourcePoolServiceRestTransport.QueryDeployedModels" + ) + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: deployment_resource_pool_service.QueryDeployedModelsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> deployment_resource_pool_service.QueryDeployedModelsResponse: + r"""Call the query deployed models method over HTTP. + + Args: + request (~.deployment_resource_pool_service.QueryDeployedModelsRequest): + The request object. Request message for + QueryDeployedModels method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.deployment_resource_pool_service.QueryDeployedModelsResponse: + Response message for + QueryDeployedModels method. + + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseQueryDeployedModels._get_http_options() + ) + + request, metadata = self._interceptor.pre_query_deployed_models( + request, metadata + ) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseQueryDeployedModels._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseQueryDeployedModels._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.QueryDeployedModels", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "QueryDeployedModels", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = DeploymentResourcePoolServiceRestTransport._QueryDeployedModels._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = deployment_resource_pool_service.QueryDeployedModelsResponse() + pb_resp = deployment_resource_pool_service.QueryDeployedModelsResponse.pb( + resp + ) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_query_deployed_models(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_query_deployed_models_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = deployment_resource_pool_service.QueryDeployedModelsResponse.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.query_deployed_models", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "QueryDeployedModels", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _UpdateDeploymentResourcePool( + _BaseDeploymentResourcePoolServiceRestTransport._BaseUpdateDeploymentResourcePool, + DeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash( + "DeploymentResourcePoolServiceRestTransport.UpdateDeploymentResourcePool" + ) + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: deployment_resource_pool_service.UpdateDeploymentResourcePoolRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the update deployment + resource pool method over HTTP. + + Args: + request (~.deployment_resource_pool_service.UpdateDeploymentResourcePoolRequest): + The request object. Request message for + UpdateDeploymentResourcePool method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseUpdateDeploymentResourcePool._get_http_options() + ) + + request, metadata = self._interceptor.pre_update_deployment_resource_pool( + request, metadata + ) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseUpdateDeploymentResourcePool._get_transcoded_request( + http_options, request + ) + + body = _BaseDeploymentResourcePoolServiceRestTransport._BaseUpdateDeploymentResourcePool._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseUpdateDeploymentResourcePool._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.UpdateDeploymentResourcePool", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "UpdateDeploymentResourcePool", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = DeploymentResourcePoolServiceRestTransport._UpdateDeploymentResourcePool._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_update_deployment_resource_pool(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = ( + self._interceptor.post_update_deployment_resource_pool_with_metadata( + resp, response_metadata + ) + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.update_deployment_resource_pool", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "UpdateDeploymentResourcePool", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + @property + def create_deployment_resource_pool( + self, + ) -> Callable[ + [deployment_resource_pool_service.CreateDeploymentResourcePoolRequest], + operations_pb2.Operation, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._CreateDeploymentResourcePool(self._session, self._host, self._interceptor) # type: ignore + + @property + def delete_deployment_resource_pool( + self, + ) -> Callable[ + [deployment_resource_pool_service.DeleteDeploymentResourcePoolRequest], + operations_pb2.Operation, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._DeleteDeploymentResourcePool(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_deployment_resource_pool( + self, + ) -> Callable[ + [deployment_resource_pool_service.GetDeploymentResourcePoolRequest], + deployment_resource_pool.DeploymentResourcePool, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._GetDeploymentResourcePool(self._session, self._host, self._interceptor) # type: ignore + + @property + def list_deployment_resource_pools( + self, + ) -> Callable[ + [deployment_resource_pool_service.ListDeploymentResourcePoolsRequest], + deployment_resource_pool_service.ListDeploymentResourcePoolsResponse, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._ListDeploymentResourcePools(self._session, self._host, self._interceptor) # type: ignore + + @property + def query_deployed_models( + self, + ) -> Callable[ + [deployment_resource_pool_service.QueryDeployedModelsRequest], + deployment_resource_pool_service.QueryDeployedModelsResponse, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._QueryDeployedModels(self._session, self._host, self._interceptor) # type: ignore + + @property + def update_deployment_resource_pool( + self, + ) -> Callable[ + [deployment_resource_pool_service.UpdateDeploymentResourcePoolRequest], + operations_pb2.Operation, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._UpdateDeploymentResourcePool(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_location(self): + return self._GetLocation(self._session, self._host, self._interceptor) # type: ignore + + class _GetLocation( + _BaseDeploymentResourcePoolServiceRestTransport._BaseGetLocation, + DeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash("DeploymentResourcePoolServiceRestTransport.GetLocation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: locations_pb2.GetLocationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Call the get location method over HTTP. + + Args: + request (locations_pb2.GetLocationRequest): + The request object for GetLocation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.Location: Response from GetLocation method. + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseGetLocation._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_location(request, metadata) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseGetLocation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseGetLocation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "GetLocation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + DeploymentResourcePoolServiceRestTransport._GetLocation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = locations_pb2.Location() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_get_location(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceAsyncClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "GetLocation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_locations(self): + return self._ListLocations(self._session, self._host, self._interceptor) # type: ignore + + class _ListLocations( + _BaseDeploymentResourcePoolServiceRestTransport._BaseListLocations, + DeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash("DeploymentResourcePoolServiceRestTransport.ListLocations") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: locations_pb2.ListLocationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Call the list locations method over HTTP. + + Args: + request (locations_pb2.ListLocationsRequest): + The request object for ListLocations method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.ListLocationsResponse: Response from ListLocations method. + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseListLocations._get_http_options() + ) + + request, metadata = self._interceptor.pre_list_locations(request, metadata) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseListLocations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseListLocations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "ListLocations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + DeploymentResourcePoolServiceRestTransport._ListLocations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = locations_pb2.ListLocationsResponse() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_list_locations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceAsyncClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "ListLocations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def get_iam_policy(self): + return self._GetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _GetIamPolicy( + _BaseDeploymentResourcePoolServiceRestTransport._BaseGetIamPolicy, + DeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash("DeploymentResourcePoolServiceRestTransport.GetIamPolicy") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the get iam policy method over HTTP. + + Args: + request (iam_policy_pb2.GetIamPolicyRequest): + The request object for GetIamPolicy method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from GetIamPolicy method. + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseGetIamPolicy._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_iam_policy(request, metadata) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseGetIamPolicy._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseGetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "GetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + DeploymentResourcePoolServiceRestTransport._GetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_get_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceAsyncClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "GetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def set_iam_policy(self): + return self._SetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _SetIamPolicy( + _BaseDeploymentResourcePoolServiceRestTransport._BaseSetIamPolicy, + DeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash("DeploymentResourcePoolServiceRestTransport.SetIamPolicy") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the set iam policy method over HTTP. + + Args: + request (iam_policy_pb2.SetIamPolicyRequest): + The request object for SetIamPolicy method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from SetIamPolicy method. + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseSetIamPolicy._get_http_options() + ) + + request, metadata = self._interceptor.pre_set_iam_policy(request, metadata) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseSetIamPolicy._get_transcoded_request( + http_options, request + ) + + body = _BaseDeploymentResourcePoolServiceRestTransport._BaseSetIamPolicy._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseSetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "SetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + DeploymentResourcePoolServiceRestTransport._SetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_set_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceAsyncClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "SetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def test_iam_permissions(self): + return self._TestIamPermissions(self._session, self._host, self._interceptor) # type: ignore + + class _TestIamPermissions( + _BaseDeploymentResourcePoolServiceRestTransport._BaseTestIamPermissions, + DeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash("DeploymentResourcePoolServiceRestTransport.TestIamPermissions") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Call the test iam permissions method over HTTP. + + Args: + request (iam_policy_pb2.TestIamPermissionsRequest): + The request object for TestIamPermissions method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + iam_policy_pb2.TestIamPermissionsResponse: Response from TestIamPermissions method. + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseTestIamPermissions._get_http_options() + ) + + request, metadata = self._interceptor.pre_test_iam_permissions( + request, metadata + ) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseTestIamPermissions._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseTestIamPermissions._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "TestIamPermissions", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = DeploymentResourcePoolServiceRestTransport._TestIamPermissions._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = iam_policy_pb2.TestIamPermissionsResponse() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_test_iam_permissions(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceAsyncClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "TestIamPermissions", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def cancel_operation(self): + return self._CancelOperation(self._session, self._host, self._interceptor) # type: ignore + + class _CancelOperation( + _BaseDeploymentResourcePoolServiceRestTransport._BaseCancelOperation, + DeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash("DeploymentResourcePoolServiceRestTransport.CancelOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.CancelOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the cancel operation method over HTTP. + + Args: + request (operations_pb2.CancelOperationRequest): + The request object for CancelOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseCancelOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_cancel_operation( + request, metadata + ) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseCancelOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseCancelOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.CancelOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "CancelOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = DeploymentResourcePoolServiceRestTransport._CancelOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + return self._interceptor.post_cancel_operation(None) + + @property + def delete_operation(self): + return self._DeleteOperation(self._session, self._host, self._interceptor) # type: ignore + + class _DeleteOperation( + _BaseDeploymentResourcePoolServiceRestTransport._BaseDeleteOperation, + DeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash("DeploymentResourcePoolServiceRestTransport.DeleteOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.DeleteOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the delete operation method over HTTP. + + Args: + request (operations_pb2.DeleteOperationRequest): + The request object for DeleteOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseDeleteOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_delete_operation( + request, metadata + ) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseDeleteOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseDeleteOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.DeleteOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "DeleteOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = DeploymentResourcePoolServiceRestTransport._DeleteOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + return self._interceptor.post_delete_operation(None) + + @property + def get_operation(self): + return self._GetOperation(self._session, self._host, self._interceptor) # type: ignore + + class _GetOperation( + _BaseDeploymentResourcePoolServiceRestTransport._BaseGetOperation, + DeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash("DeploymentResourcePoolServiceRestTransport.GetOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.GetOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the get operation method over HTTP. + + Args: + request (operations_pb2.GetOperationRequest): + The request object for GetOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from GetOperation method. + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseGetOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_operation(request, metadata) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseGetOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseGetOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "GetOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + DeploymentResourcePoolServiceRestTransport._GetOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_get_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceAsyncClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "GetOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_operations(self): + return self._ListOperations(self._session, self._host, self._interceptor) # type: ignore + + class _ListOperations( + _BaseDeploymentResourcePoolServiceRestTransport._BaseListOperations, + DeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash("DeploymentResourcePoolServiceRestTransport.ListOperations") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.ListOperationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Call the list operations method over HTTP. + + Args: + request (operations_pb2.ListOperationsRequest): + The request object for ListOperations method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.ListOperationsResponse: Response from ListOperations method. + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseListOperations._get_http_options() + ) + + request, metadata = self._interceptor.pre_list_operations(request, metadata) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseListOperations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseListOperations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "ListOperations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = DeploymentResourcePoolServiceRestTransport._ListOperations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = operations_pb2.ListOperationsResponse() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_list_operations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceAsyncClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "ListOperations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def wait_operation(self): + return self._WaitOperation(self._session, self._host, self._interceptor) # type: ignore + + class _WaitOperation( + _BaseDeploymentResourcePoolServiceRestTransport._BaseWaitOperation, + DeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash("DeploymentResourcePoolServiceRestTransport.WaitOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.WaitOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the wait operation method over HTTP. + + Args: + request (operations_pb2.WaitOperationRequest): + The request object for WaitOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from WaitOperation method. + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseWaitOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_wait_operation(request, metadata) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseWaitOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseWaitOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "WaitOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + DeploymentResourcePoolServiceRestTransport._WaitOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_wait_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceAsyncClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "WaitOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def kind(self) -> str: + return "rest" + + def close(self): + self._session.close() + + +__all__ = ("DeploymentResourcePoolServiceRestTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/transports/rest_asyncio.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/transports/rest_asyncio.py new file mode 100644 index 0000000000000000000000000000000000000000..d0de7eb4cf8c47b036341cf76798ff9077e77204 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/transports/rest_asyncio.py @@ -0,0 +1,5390 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +import google.auth + +try: + import aiohttp # type: ignore + from google.auth.aio.transport.sessions import AsyncAuthorizedSession # type: ignore + from google.api_core import rest_streaming_async # type: ignore + from google.api_core.operations_v1 import AsyncOperationsRestClient # type: ignore +except ImportError as e: # pragma: NO COVER + raise ImportError( + "`rest_asyncio` transport requires the library to be installed with the `async_rest` extra. Install the library with the `async_rest` extra using `pip install google-cloud-aiplatform[async_rest]`" + ) from e + +from google.auth.aio import credentials as ga_credentials_async # type: ignore + +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import operations_v1 +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore +from google.api_core import retry_async as retries +from google.api_core import rest_helpers +from google.api_core import rest_streaming_async # type: ignore +import google.protobuf + +from google.protobuf import json_format +from google.api_core import operations_v1 +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore + +import json # type: ignore +import dataclasses +from typing import Any, Dict, List, Callable, Tuple, Optional, Sequence, Union + + +from google.cloud.aiplatform_v1.types import deployment_resource_pool +from google.cloud.aiplatform_v1.types import deployment_resource_pool_service +from google.longrunning import operations_pb2 # type: ignore + + +from .rest_base import _BaseDeploymentResourcePoolServiceRestTransport + +from .base import DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO + + +import logging + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = logging.getLogger(__name__) + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version, + grpc_version=None, + rest_version=f"google-auth@{google.auth.__version__}", +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +class AsyncDeploymentResourcePoolServiceRestInterceptor: + """Asynchronous Interceptor for DeploymentResourcePoolService. + + Interceptors are used to manipulate requests, request metadata, and responses + in arbitrary ways. + Example use cases include: + * Logging + * Verifying requests according to service or custom semantics + * Stripping extraneous information from responses + + These use cases and more can be enabled by injecting an + instance of a custom subclass when constructing the AsyncDeploymentResourcePoolServiceRestTransport. + + .. code-block:: python + class MyCustomDeploymentResourcePoolServiceInterceptor(DeploymentResourcePoolServiceRestInterceptor): + async def pre_create_deployment_resource_pool(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_create_deployment_resource_pool(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_delete_deployment_resource_pool(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_delete_deployment_resource_pool(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_get_deployment_resource_pool(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_get_deployment_resource_pool(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_list_deployment_resource_pools(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_list_deployment_resource_pools(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_query_deployed_models(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_query_deployed_models(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_update_deployment_resource_pool(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_update_deployment_resource_pool(self, response): + logging.log(f"Received response: {response}") + return response + + transport = AsyncDeploymentResourcePoolServiceRestTransport(interceptor=MyCustomDeploymentResourcePoolServiceInterceptor()) + client = async DeploymentResourcePoolServiceClient(transport=transport) + + + """ + + async def pre_create_deployment_resource_pool( + self, + request: deployment_resource_pool_service.CreateDeploymentResourcePoolRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + deployment_resource_pool_service.CreateDeploymentResourcePoolRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for create_deployment_resource_pool + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + async def post_create_deployment_resource_pool( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for create_deployment_resource_pool + + DEPRECATED. Please use the `post_create_deployment_resource_pool_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. This `post_create_deployment_resource_pool` interceptor runs + before the `post_create_deployment_resource_pool_with_metadata` interceptor. + """ + return response + + async def post_create_deployment_resource_pool_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for create_deployment_resource_pool + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the DeploymentResourcePoolService server but before it is returned to user code. + + We recommend only using this `post_create_deployment_resource_pool_with_metadata` + interceptor in new development instead of the `post_create_deployment_resource_pool` interceptor. + When both interceptors are used, this `post_create_deployment_resource_pool_with_metadata` interceptor runs after the + `post_create_deployment_resource_pool` interceptor. The (possibly modified) response returned by + `post_create_deployment_resource_pool` will be passed to + `post_create_deployment_resource_pool_with_metadata`. + """ + return response, metadata + + async def pre_delete_deployment_resource_pool( + self, + request: deployment_resource_pool_service.DeleteDeploymentResourcePoolRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + deployment_resource_pool_service.DeleteDeploymentResourcePoolRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for delete_deployment_resource_pool + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + async def post_delete_deployment_resource_pool( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for delete_deployment_resource_pool + + DEPRECATED. Please use the `post_delete_deployment_resource_pool_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. This `post_delete_deployment_resource_pool` interceptor runs + before the `post_delete_deployment_resource_pool_with_metadata` interceptor. + """ + return response + + async def post_delete_deployment_resource_pool_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for delete_deployment_resource_pool + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the DeploymentResourcePoolService server but before it is returned to user code. + + We recommend only using this `post_delete_deployment_resource_pool_with_metadata` + interceptor in new development instead of the `post_delete_deployment_resource_pool` interceptor. + When both interceptors are used, this `post_delete_deployment_resource_pool_with_metadata` interceptor runs after the + `post_delete_deployment_resource_pool` interceptor. The (possibly modified) response returned by + `post_delete_deployment_resource_pool` will be passed to + `post_delete_deployment_resource_pool_with_metadata`. + """ + return response, metadata + + async def pre_get_deployment_resource_pool( + self, + request: deployment_resource_pool_service.GetDeploymentResourcePoolRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + deployment_resource_pool_service.GetDeploymentResourcePoolRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for get_deployment_resource_pool + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + async def post_get_deployment_resource_pool( + self, response: deployment_resource_pool.DeploymentResourcePool + ) -> deployment_resource_pool.DeploymentResourcePool: + """Post-rpc interceptor for get_deployment_resource_pool + + DEPRECATED. Please use the `post_get_deployment_resource_pool_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. This `post_get_deployment_resource_pool` interceptor runs + before the `post_get_deployment_resource_pool_with_metadata` interceptor. + """ + return response + + async def post_get_deployment_resource_pool_with_metadata( + self, + response: deployment_resource_pool.DeploymentResourcePool, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + deployment_resource_pool.DeploymentResourcePool, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for get_deployment_resource_pool + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the DeploymentResourcePoolService server but before it is returned to user code. + + We recommend only using this `post_get_deployment_resource_pool_with_metadata` + interceptor in new development instead of the `post_get_deployment_resource_pool` interceptor. + When both interceptors are used, this `post_get_deployment_resource_pool_with_metadata` interceptor runs after the + `post_get_deployment_resource_pool` interceptor. The (possibly modified) response returned by + `post_get_deployment_resource_pool` will be passed to + `post_get_deployment_resource_pool_with_metadata`. + """ + return response, metadata + + async def pre_list_deployment_resource_pools( + self, + request: deployment_resource_pool_service.ListDeploymentResourcePoolsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + deployment_resource_pool_service.ListDeploymentResourcePoolsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for list_deployment_resource_pools + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + async def post_list_deployment_resource_pools( + self, + response: deployment_resource_pool_service.ListDeploymentResourcePoolsResponse, + ) -> deployment_resource_pool_service.ListDeploymentResourcePoolsResponse: + """Post-rpc interceptor for list_deployment_resource_pools + + DEPRECATED. Please use the `post_list_deployment_resource_pools_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. This `post_list_deployment_resource_pools` interceptor runs + before the `post_list_deployment_resource_pools_with_metadata` interceptor. + """ + return response + + async def post_list_deployment_resource_pools_with_metadata( + self, + response: deployment_resource_pool_service.ListDeploymentResourcePoolsResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + deployment_resource_pool_service.ListDeploymentResourcePoolsResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for list_deployment_resource_pools + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the DeploymentResourcePoolService server but before it is returned to user code. + + We recommend only using this `post_list_deployment_resource_pools_with_metadata` + interceptor in new development instead of the `post_list_deployment_resource_pools` interceptor. + When both interceptors are used, this `post_list_deployment_resource_pools_with_metadata` interceptor runs after the + `post_list_deployment_resource_pools` interceptor. The (possibly modified) response returned by + `post_list_deployment_resource_pools` will be passed to + `post_list_deployment_resource_pools_with_metadata`. + """ + return response, metadata + + async def pre_query_deployed_models( + self, + request: deployment_resource_pool_service.QueryDeployedModelsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + deployment_resource_pool_service.QueryDeployedModelsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for query_deployed_models + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + async def post_query_deployed_models( + self, response: deployment_resource_pool_service.QueryDeployedModelsResponse + ) -> deployment_resource_pool_service.QueryDeployedModelsResponse: + """Post-rpc interceptor for query_deployed_models + + DEPRECATED. Please use the `post_query_deployed_models_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. This `post_query_deployed_models` interceptor runs + before the `post_query_deployed_models_with_metadata` interceptor. + """ + return response + + async def post_query_deployed_models_with_metadata( + self, + response: deployment_resource_pool_service.QueryDeployedModelsResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + deployment_resource_pool_service.QueryDeployedModelsResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for query_deployed_models + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the DeploymentResourcePoolService server but before it is returned to user code. + + We recommend only using this `post_query_deployed_models_with_metadata` + interceptor in new development instead of the `post_query_deployed_models` interceptor. + When both interceptors are used, this `post_query_deployed_models_with_metadata` interceptor runs after the + `post_query_deployed_models` interceptor. The (possibly modified) response returned by + `post_query_deployed_models` will be passed to + `post_query_deployed_models_with_metadata`. + """ + return response, metadata + + async def pre_update_deployment_resource_pool( + self, + request: deployment_resource_pool_service.UpdateDeploymentResourcePoolRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + deployment_resource_pool_service.UpdateDeploymentResourcePoolRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for update_deployment_resource_pool + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + async def post_update_deployment_resource_pool( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for update_deployment_resource_pool + + DEPRECATED. Please use the `post_update_deployment_resource_pool_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. This `post_update_deployment_resource_pool` interceptor runs + before the `post_update_deployment_resource_pool_with_metadata` interceptor. + """ + return response + + async def post_update_deployment_resource_pool_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for update_deployment_resource_pool + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the DeploymentResourcePoolService server but before it is returned to user code. + + We recommend only using this `post_update_deployment_resource_pool_with_metadata` + interceptor in new development instead of the `post_update_deployment_resource_pool` interceptor. + When both interceptors are used, this `post_update_deployment_resource_pool_with_metadata` interceptor runs after the + `post_update_deployment_resource_pool` interceptor. The (possibly modified) response returned by + `post_update_deployment_resource_pool` will be passed to + `post_update_deployment_resource_pool_with_metadata`. + """ + return response, metadata + + async def pre_get_location( + self, + request: locations_pb2.GetLocationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.GetLocationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_location + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + async def post_get_location( + self, response: locations_pb2.Location + ) -> locations_pb2.Location: + """Post-rpc interceptor for get_location + + Override in a subclass to manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. + """ + return response + + async def pre_list_locations( + self, + request: locations_pb2.ListLocationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.ListLocationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_locations + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + async def post_list_locations( + self, response: locations_pb2.ListLocationsResponse + ) -> locations_pb2.ListLocationsResponse: + """Post-rpc interceptor for list_locations + + Override in a subclass to manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. + """ + return response + + async def pre_get_iam_policy( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.GetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + async def post_get_iam_policy( + self, response: policy_pb2.Policy + ) -> policy_pb2.Policy: + """Post-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. + """ + return response + + async def pre_set_iam_policy( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.SetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + async def post_set_iam_policy( + self, response: policy_pb2.Policy + ) -> policy_pb2.Policy: + """Post-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. + """ + return response + + async def pre_test_iam_permissions( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.TestIamPermissionsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + async def post_test_iam_permissions( + self, response: iam_policy_pb2.TestIamPermissionsResponse + ) -> iam_policy_pb2.TestIamPermissionsResponse: + """Post-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. + """ + return response + + async def pre_cancel_operation( + self, + request: operations_pb2.CancelOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.CancelOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + async def post_cancel_operation(self, response: None) -> None: + """Post-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. + """ + return response + + async def pre_delete_operation( + self, + request: operations_pb2.DeleteOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.DeleteOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for delete_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + async def post_delete_operation(self, response: None) -> None: + """Post-rpc interceptor for delete_operation + + Override in a subclass to manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. + """ + return response + + async def pre_get_operation( + self, + request: operations_pb2.GetOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.GetOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + async def post_get_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for get_operation + + Override in a subclass to manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. + """ + return response + + async def pre_list_operations( + self, + request: operations_pb2.ListOperationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.ListOperationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_operations + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + async def post_list_operations( + self, response: operations_pb2.ListOperationsResponse + ) -> operations_pb2.ListOperationsResponse: + """Post-rpc interceptor for list_operations + + Override in a subclass to manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. + """ + return response + + async def pre_wait_operation( + self, + request: operations_pb2.WaitOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.WaitOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for wait_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the DeploymentResourcePoolService server. + """ + return request, metadata + + async def post_wait_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for wait_operation + + Override in a subclass to manipulate the response + after it is returned by the DeploymentResourcePoolService server but before + it is returned to user code. + """ + return response + + +@dataclasses.dataclass +class AsyncDeploymentResourcePoolServiceRestStub: + _session: AsyncAuthorizedSession + _host: str + _interceptor: AsyncDeploymentResourcePoolServiceRestInterceptor + + +class AsyncDeploymentResourcePoolServiceRestTransport( + _BaseDeploymentResourcePoolServiceRestTransport +): + """Asynchronous REST backend transport for DeploymentResourcePoolService. + + A service that manages the DeploymentResourcePool resource. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + """ + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials_async.Credentials] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + url_scheme: str = "https", + interceptor: Optional[AsyncDeploymentResourcePoolServiceRestInterceptor] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.aio.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + url_scheme (str): the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=False, + url_scheme=url_scheme, + api_audience=None, + ) + self._session = AsyncAuthorizedSession(self._credentials) # type: ignore + self._interceptor = ( + interceptor or AsyncDeploymentResourcePoolServiceRestInterceptor() + ) + self._wrap_with_kind = True + self._prep_wrapped_messages(client_info) + self._operations_client: Optional[operations_v1.AsyncOperationsRestClient] = ( + None + ) + + def _prep_wrapped_messages(self, client_info): + """Precompute the wrapped methods, overriding the base class method to use async wrappers.""" + self._wrapped_methods = { + self.create_deployment_resource_pool: self._wrap_method( + self.create_deployment_resource_pool, + default_timeout=None, + client_info=client_info, + ), + self.get_deployment_resource_pool: self._wrap_method( + self.get_deployment_resource_pool, + default_timeout=None, + client_info=client_info, + ), + self.list_deployment_resource_pools: self._wrap_method( + self.list_deployment_resource_pools, + default_timeout=None, + client_info=client_info, + ), + self.update_deployment_resource_pool: self._wrap_method( + self.update_deployment_resource_pool, + default_timeout=None, + client_info=client_info, + ), + self.delete_deployment_resource_pool: self._wrap_method( + self.delete_deployment_resource_pool, + default_timeout=None, + client_info=client_info, + ), + self.query_deployed_models: self._wrap_method( + self.query_deployed_models, + default_timeout=None, + client_info=client_info, + ), + self.get_location: self._wrap_method( + self.get_location, + default_timeout=None, + client_info=client_info, + ), + self.list_locations: self._wrap_method( + self.list_locations, + default_timeout=None, + client_info=client_info, + ), + self.get_iam_policy: self._wrap_method( + self.get_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.set_iam_policy: self._wrap_method( + self.set_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.test_iam_permissions: self._wrap_method( + self.test_iam_permissions, + default_timeout=None, + client_info=client_info, + ), + self.cancel_operation: self._wrap_method( + self.cancel_operation, + default_timeout=None, + client_info=client_info, + ), + self.delete_operation: self._wrap_method( + self.delete_operation, + default_timeout=None, + client_info=client_info, + ), + self.get_operation: self._wrap_method( + self.get_operation, + default_timeout=None, + client_info=client_info, + ), + self.list_operations: self._wrap_method( + self.list_operations, + default_timeout=None, + client_info=client_info, + ), + self.wait_operation: self._wrap_method( + self.wait_operation, + default_timeout=None, + client_info=client_info, + ), + } + + def _wrap_method(self, func, *args, **kwargs): + if self._wrap_with_kind: # pragma: NO COVER + kwargs["kind"] = self.kind + return gapic_v1.method_async.wrap_method(func, *args, **kwargs) + + class _CreateDeploymentResourcePool( + _BaseDeploymentResourcePoolServiceRestTransport._BaseCreateDeploymentResourcePool, + AsyncDeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncDeploymentResourcePoolServiceRestTransport.CreateDeploymentResourcePool" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: deployment_resource_pool_service.CreateDeploymentResourcePoolRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the create deployment + resource pool method over HTTP. + + Args: + request (~.deployment_resource_pool_service.CreateDeploymentResourcePoolRequest): + The request object. Request message for + CreateDeploymentResourcePool method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseCreateDeploymentResourcePool._get_http_options() + ) + + request, metadata = ( + await self._interceptor.pre_create_deployment_resource_pool( + request, metadata + ) + ) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseCreateDeploymentResourcePool._get_transcoded_request( + http_options, request + ) + + body = _BaseDeploymentResourcePoolServiceRestTransport._BaseCreateDeploymentResourcePool._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseCreateDeploymentResourcePool._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.CreateDeploymentResourcePool", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "CreateDeploymentResourcePool", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncDeploymentResourcePoolServiceRestTransport._CreateDeploymentResourcePool._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = operations_pb2.Operation() + pb_resp = resp + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_create_deployment_resource_pool(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = ( + await self._interceptor.post_create_deployment_resource_pool_with_metadata( + resp, response_metadata + ) + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceAsyncClient.create_deployment_resource_pool", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "CreateDeploymentResourcePool", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _DeleteDeploymentResourcePool( + _BaseDeploymentResourcePoolServiceRestTransport._BaseDeleteDeploymentResourcePool, + AsyncDeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncDeploymentResourcePoolServiceRestTransport.DeleteDeploymentResourcePool" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: deployment_resource_pool_service.DeleteDeploymentResourcePoolRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the delete deployment + resource pool method over HTTP. + + Args: + request (~.deployment_resource_pool_service.DeleteDeploymentResourcePoolRequest): + The request object. Request message for + DeleteDeploymentResourcePool method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseDeleteDeploymentResourcePool._get_http_options() + ) + + request, metadata = ( + await self._interceptor.pre_delete_deployment_resource_pool( + request, metadata + ) + ) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseDeleteDeploymentResourcePool._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseDeleteDeploymentResourcePool._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.DeleteDeploymentResourcePool", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "DeleteDeploymentResourcePool", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncDeploymentResourcePoolServiceRestTransport._DeleteDeploymentResourcePool._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = operations_pb2.Operation() + pb_resp = resp + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_delete_deployment_resource_pool(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = ( + await self._interceptor.post_delete_deployment_resource_pool_with_metadata( + resp, response_metadata + ) + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceAsyncClient.delete_deployment_resource_pool", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "DeleteDeploymentResourcePool", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _GetDeploymentResourcePool( + _BaseDeploymentResourcePoolServiceRestTransport._BaseGetDeploymentResourcePool, + AsyncDeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncDeploymentResourcePoolServiceRestTransport.GetDeploymentResourcePool" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: deployment_resource_pool_service.GetDeploymentResourcePoolRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> deployment_resource_pool.DeploymentResourcePool: + r"""Call the get deployment resource + pool method over HTTP. + + Args: + request (~.deployment_resource_pool_service.GetDeploymentResourcePoolRequest): + The request object. Request message for + GetDeploymentResourcePool method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.deployment_resource_pool.DeploymentResourcePool: + A description of resources that can + be shared by multiple DeployedModels, + whose underlying specification consists + of a DedicatedResources. + + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseGetDeploymentResourcePool._get_http_options() + ) + + request, metadata = ( + await self._interceptor.pre_get_deployment_resource_pool( + request, metadata + ) + ) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseGetDeploymentResourcePool._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseGetDeploymentResourcePool._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.GetDeploymentResourcePool", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "GetDeploymentResourcePool", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncDeploymentResourcePoolServiceRestTransport._GetDeploymentResourcePool._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = deployment_resource_pool.DeploymentResourcePool() + pb_resp = deployment_resource_pool.DeploymentResourcePool.pb(resp) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_get_deployment_resource_pool(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = ( + await self._interceptor.post_get_deployment_resource_pool_with_metadata( + resp, response_metadata + ) + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = ( + deployment_resource_pool.DeploymentResourcePool.to_json( + response + ) + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceAsyncClient.get_deployment_resource_pool", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "GetDeploymentResourcePool", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _ListDeploymentResourcePools( + _BaseDeploymentResourcePoolServiceRestTransport._BaseListDeploymentResourcePools, + AsyncDeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncDeploymentResourcePoolServiceRestTransport.ListDeploymentResourcePools" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: deployment_resource_pool_service.ListDeploymentResourcePoolsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> deployment_resource_pool_service.ListDeploymentResourcePoolsResponse: + r"""Call the list deployment resource + pools method over HTTP. + + Args: + request (~.deployment_resource_pool_service.ListDeploymentResourcePoolsRequest): + The request object. Request message for + ListDeploymentResourcePools method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.deployment_resource_pool_service.ListDeploymentResourcePoolsResponse: + Response message for + ListDeploymentResourcePools method. + + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseListDeploymentResourcePools._get_http_options() + ) + + request, metadata = ( + await self._interceptor.pre_list_deployment_resource_pools( + request, metadata + ) + ) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseListDeploymentResourcePools._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseListDeploymentResourcePools._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.ListDeploymentResourcePools", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "ListDeploymentResourcePools", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncDeploymentResourcePoolServiceRestTransport._ListDeploymentResourcePools._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = ( + deployment_resource_pool_service.ListDeploymentResourcePoolsResponse() + ) + pb_resp = ( + deployment_resource_pool_service.ListDeploymentResourcePoolsResponse.pb( + resp + ) + ) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_list_deployment_resource_pools(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = ( + await self._interceptor.post_list_deployment_resource_pools_with_metadata( + resp, response_metadata + ) + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = deployment_resource_pool_service.ListDeploymentResourcePoolsResponse.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceAsyncClient.list_deployment_resource_pools", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "ListDeploymentResourcePools", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _QueryDeployedModels( + _BaseDeploymentResourcePoolServiceRestTransport._BaseQueryDeployedModels, + AsyncDeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncDeploymentResourcePoolServiceRestTransport.QueryDeployedModels" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: deployment_resource_pool_service.QueryDeployedModelsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> deployment_resource_pool_service.QueryDeployedModelsResponse: + r"""Call the query deployed models method over HTTP. + + Args: + request (~.deployment_resource_pool_service.QueryDeployedModelsRequest): + The request object. Request message for + QueryDeployedModels method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.deployment_resource_pool_service.QueryDeployedModelsResponse: + Response message for + QueryDeployedModels method. + + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseQueryDeployedModels._get_http_options() + ) + + request, metadata = await self._interceptor.pre_query_deployed_models( + request, metadata + ) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseQueryDeployedModels._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseQueryDeployedModels._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.QueryDeployedModels", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "QueryDeployedModels", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncDeploymentResourcePoolServiceRestTransport._QueryDeployedModels._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = deployment_resource_pool_service.QueryDeployedModelsResponse() + pb_resp = deployment_resource_pool_service.QueryDeployedModelsResponse.pb( + resp + ) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_query_deployed_models(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_query_deployed_models_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = deployment_resource_pool_service.QueryDeployedModelsResponse.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceAsyncClient.query_deployed_models", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "QueryDeployedModels", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _UpdateDeploymentResourcePool( + _BaseDeploymentResourcePoolServiceRestTransport._BaseUpdateDeploymentResourcePool, + AsyncDeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncDeploymentResourcePoolServiceRestTransport.UpdateDeploymentResourcePool" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: deployment_resource_pool_service.UpdateDeploymentResourcePoolRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the update deployment + resource pool method over HTTP. + + Args: + request (~.deployment_resource_pool_service.UpdateDeploymentResourcePoolRequest): + The request object. Request message for + UpdateDeploymentResourcePool method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseUpdateDeploymentResourcePool._get_http_options() + ) + + request, metadata = ( + await self._interceptor.pre_update_deployment_resource_pool( + request, metadata + ) + ) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseUpdateDeploymentResourcePool._get_transcoded_request( + http_options, request + ) + + body = _BaseDeploymentResourcePoolServiceRestTransport._BaseUpdateDeploymentResourcePool._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseUpdateDeploymentResourcePool._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.UpdateDeploymentResourcePool", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "UpdateDeploymentResourcePool", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncDeploymentResourcePoolServiceRestTransport._UpdateDeploymentResourcePool._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = operations_pb2.Operation() + pb_resp = resp + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_update_deployment_resource_pool(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = ( + await self._interceptor.post_update_deployment_resource_pool_with_metadata( + resp, response_metadata + ) + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceAsyncClient.update_deployment_resource_pool", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "UpdateDeploymentResourcePool", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + @property + def operations_client(self) -> AsyncOperationsRestClient: + """Create the async client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Only create a new client if we do not already have one. + if self._operations_client is None: + http_options: Dict[str, List[Dict[str, str]]] = { + "google.longrunning.Operations.CancelOperation": [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + ], + "google.longrunning.Operations.DeleteOperation": [ + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensions/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + 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"/v1/{name=projects/*/locations/*/persistentResources/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/schedules/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=reasoningEngines/*/sessions/*}/operations", + }, + ], + "google.longrunning.Operations.WaitOperation": [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:wait", + }, + ], + } + + rest_transport = operations_v1.AsyncOperationsRestTransport( # type: ignore + host=self._host, + # use the credentials which are saved + credentials=self._credentials, # type: ignore + http_options=http_options, + path_prefix="v1", + ) + + self._operations_client = AsyncOperationsRestClient( + transport=rest_transport + ) + + # Return the client from cache. + return self._operations_client + + @property + def create_deployment_resource_pool( + self, + ) -> Callable[ + [deployment_resource_pool_service.CreateDeploymentResourcePoolRequest], + operations_pb2.Operation, + ]: + return self._CreateDeploymentResourcePool(self._session, self._host, self._interceptor) # type: ignore + + @property + def delete_deployment_resource_pool( + self, + ) -> Callable[ + [deployment_resource_pool_service.DeleteDeploymentResourcePoolRequest], + operations_pb2.Operation, + ]: + return self._DeleteDeploymentResourcePool(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_deployment_resource_pool( + self, + ) -> Callable[ + [deployment_resource_pool_service.GetDeploymentResourcePoolRequest], + deployment_resource_pool.DeploymentResourcePool, + ]: + return self._GetDeploymentResourcePool(self._session, self._host, self._interceptor) # type: ignore + + @property + def list_deployment_resource_pools( + self, + ) -> Callable[ + [deployment_resource_pool_service.ListDeploymentResourcePoolsRequest], + deployment_resource_pool_service.ListDeploymentResourcePoolsResponse, + ]: + return self._ListDeploymentResourcePools(self._session, self._host, self._interceptor) # type: ignore + + @property + def query_deployed_models( + self, + ) -> Callable[ + [deployment_resource_pool_service.QueryDeployedModelsRequest], + deployment_resource_pool_service.QueryDeployedModelsResponse, + ]: + return self._QueryDeployedModels(self._session, self._host, self._interceptor) # type: ignore + + @property + def update_deployment_resource_pool( + self, + ) -> Callable[ + [deployment_resource_pool_service.UpdateDeploymentResourcePoolRequest], + operations_pb2.Operation, + ]: + return self._UpdateDeploymentResourcePool(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_location(self): + return self._GetLocation(self._session, self._host, self._interceptor) # type: ignore + + class _GetLocation( + _BaseDeploymentResourcePoolServiceRestTransport._BaseGetLocation, + AsyncDeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash("AsyncDeploymentResourcePoolServiceRestTransport.GetLocation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: locations_pb2.GetLocationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Call the get location method over HTTP. + + Args: + request (locations_pb2.GetLocationRequest): + The request object for GetLocation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.Location: Response from GetLocation method. + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseGetLocation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_location( + request, metadata + ) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseGetLocation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseGetLocation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "GetLocation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncDeploymentResourcePoolServiceRestTransport._GetLocation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = locations_pb2.Location() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_get_location(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceAsyncClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "GetLocation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_locations(self): + return self._ListLocations(self._session, self._host, self._interceptor) # type: ignore + + class _ListLocations( + _BaseDeploymentResourcePoolServiceRestTransport._BaseListLocations, + AsyncDeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash("AsyncDeploymentResourcePoolServiceRestTransport.ListLocations") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: locations_pb2.ListLocationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Call the list locations method over HTTP. + + Args: + request (locations_pb2.ListLocationsRequest): + The request object for ListLocations method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.ListLocationsResponse: Response from ListLocations method. + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseListLocations._get_http_options() + ) + + request, metadata = await self._interceptor.pre_list_locations( + request, metadata + ) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseListLocations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseListLocations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "ListLocations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncDeploymentResourcePoolServiceRestTransport._ListLocations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = locations_pb2.ListLocationsResponse() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_list_locations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceAsyncClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "ListLocations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def get_iam_policy(self): + return self._GetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _GetIamPolicy( + _BaseDeploymentResourcePoolServiceRestTransport._BaseGetIamPolicy, + AsyncDeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash("AsyncDeploymentResourcePoolServiceRestTransport.GetIamPolicy") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the get iam policy method over HTTP. + + Args: + request (iam_policy_pb2.GetIamPolicyRequest): + The request object for GetIamPolicy method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from GetIamPolicy method. + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseGetIamPolicy._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_iam_policy( + request, metadata + ) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseGetIamPolicy._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseGetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "GetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncDeploymentResourcePoolServiceRestTransport._GetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_get_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceAsyncClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "GetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def set_iam_policy(self): + return self._SetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _SetIamPolicy( + _BaseDeploymentResourcePoolServiceRestTransport._BaseSetIamPolicy, + AsyncDeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash("AsyncDeploymentResourcePoolServiceRestTransport.SetIamPolicy") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the set iam policy method over HTTP. + + Args: + request (iam_policy_pb2.SetIamPolicyRequest): + The request object for SetIamPolicy method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from SetIamPolicy method. + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseSetIamPolicy._get_http_options() + ) + + request, metadata = await self._interceptor.pre_set_iam_policy( + request, metadata + ) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseSetIamPolicy._get_transcoded_request( + http_options, request + ) + + body = _BaseDeploymentResourcePoolServiceRestTransport._BaseSetIamPolicy._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseSetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "SetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncDeploymentResourcePoolServiceRestTransport._SetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_set_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceAsyncClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "SetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def test_iam_permissions(self): + return self._TestIamPermissions(self._session, self._host, self._interceptor) # type: ignore + + class _TestIamPermissions( + _BaseDeploymentResourcePoolServiceRestTransport._BaseTestIamPermissions, + AsyncDeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncDeploymentResourcePoolServiceRestTransport.TestIamPermissions" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Call the test iam permissions method over HTTP. + + Args: + request (iam_policy_pb2.TestIamPermissionsRequest): + The request object for TestIamPermissions method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + iam_policy_pb2.TestIamPermissionsResponse: Response from TestIamPermissions method. + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseTestIamPermissions._get_http_options() + ) + + request, metadata = await self._interceptor.pre_test_iam_permissions( + request, metadata + ) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseTestIamPermissions._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseTestIamPermissions._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "TestIamPermissions", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncDeploymentResourcePoolServiceRestTransport._TestIamPermissions._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = iam_policy_pb2.TestIamPermissionsResponse() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_test_iam_permissions(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceAsyncClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "TestIamPermissions", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def cancel_operation(self): + return self._CancelOperation(self._session, self._host, self._interceptor) # type: ignore + + class _CancelOperation( + _BaseDeploymentResourcePoolServiceRestTransport._BaseCancelOperation, + AsyncDeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncDeploymentResourcePoolServiceRestTransport.CancelOperation" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.CancelOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the cancel operation method over HTTP. + + Args: + request (operations_pb2.CancelOperationRequest): + The request object for CancelOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseCancelOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_cancel_operation( + request, metadata + ) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseCancelOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseCancelOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.CancelOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "CancelOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncDeploymentResourcePoolServiceRestTransport._CancelOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + return await self._interceptor.post_cancel_operation(None) + + @property + def delete_operation(self): + return self._DeleteOperation(self._session, self._host, self._interceptor) # type: ignore + + class _DeleteOperation( + _BaseDeploymentResourcePoolServiceRestTransport._BaseDeleteOperation, + AsyncDeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncDeploymentResourcePoolServiceRestTransport.DeleteOperation" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.DeleteOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the delete operation method over HTTP. + + Args: + request (operations_pb2.DeleteOperationRequest): + The request object for DeleteOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseDeleteOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_delete_operation( + request, metadata + ) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseDeleteOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseDeleteOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.DeleteOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "DeleteOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncDeploymentResourcePoolServiceRestTransport._DeleteOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + return await self._interceptor.post_delete_operation(None) + + @property + def get_operation(self): + return self._GetOperation(self._session, self._host, self._interceptor) # type: ignore + + class _GetOperation( + _BaseDeploymentResourcePoolServiceRestTransport._BaseGetOperation, + AsyncDeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash("AsyncDeploymentResourcePoolServiceRestTransport.GetOperation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.GetOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the get operation method over HTTP. + + Args: + request (operations_pb2.GetOperationRequest): + The request object for GetOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from GetOperation method. + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseGetOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_operation( + request, metadata + ) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseGetOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseGetOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "GetOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncDeploymentResourcePoolServiceRestTransport._GetOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_get_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceAsyncClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "GetOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_operations(self): + return self._ListOperations(self._session, self._host, self._interceptor) # type: ignore + + class _ListOperations( + _BaseDeploymentResourcePoolServiceRestTransport._BaseListOperations, + AsyncDeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncDeploymentResourcePoolServiceRestTransport.ListOperations" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.ListOperationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Call the list operations method over HTTP. + + Args: + request (operations_pb2.ListOperationsRequest): + The request object for ListOperations method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.ListOperationsResponse: Response from ListOperations method. + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseListOperations._get_http_options() + ) + + request, metadata = await self._interceptor.pre_list_operations( + request, metadata + ) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseListOperations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseListOperations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "ListOperations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncDeploymentResourcePoolServiceRestTransport._ListOperations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = operations_pb2.ListOperationsResponse() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_list_operations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceAsyncClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "ListOperations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def wait_operation(self): + return self._WaitOperation(self._session, self._host, self._interceptor) # type: ignore + + class _WaitOperation( + _BaseDeploymentResourcePoolServiceRestTransport._BaseWaitOperation, + AsyncDeploymentResourcePoolServiceRestStub, + ): + def __hash__(self): + return hash("AsyncDeploymentResourcePoolServiceRestTransport.WaitOperation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.WaitOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the wait operation method over HTTP. + + Args: + request (operations_pb2.WaitOperationRequest): + The request object for WaitOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from WaitOperation method. + """ + + http_options = ( + _BaseDeploymentResourcePoolServiceRestTransport._BaseWaitOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_wait_operation( + request, metadata + ) + transcoded_request = _BaseDeploymentResourcePoolServiceRestTransport._BaseWaitOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseDeploymentResourcePoolServiceRestTransport._BaseWaitOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "WaitOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncDeploymentResourcePoolServiceRestTransport._WaitOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_wait_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.DeploymentResourcePoolServiceAsyncClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.DeploymentResourcePoolService", + "rpcName": "WaitOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def kind(self) -> str: + return "rest_asyncio" + + async def close(self): + await self._session.close() diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/transports/rest_base.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/transports/rest_base.py new file mode 100644 index 0000000000000000000000000000000000000000..2effba553481bafb9fd03fcdb7f2dbf10761d817 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/deployment_resource_pool_service/transports/rest_base.py @@ -0,0 +1,2799 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import json # type: ignore +from google.api_core import path_template +from google.api_core import gapic_v1 + +from google.protobuf import json_format +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore +from .base import DeploymentResourcePoolServiceTransport, DEFAULT_CLIENT_INFO + +import re +from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union + + +from google.cloud.aiplatform_v1.types import deployment_resource_pool +from google.cloud.aiplatform_v1.types import deployment_resource_pool_service +from google.longrunning import operations_pb2 # type: ignore + + +class _BaseDeploymentResourcePoolServiceRestTransport( + DeploymentResourcePoolServiceTransport +): + """Base REST backend transport for DeploymentResourcePoolService. + + Note: This class is not meant to be used directly. Use its sync and + async sub-classes instead. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + """ + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[Any] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + url_scheme: str = "https", + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[Any]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + url_scheme: the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + maybe_url_match = re.match("^(?Phttp(?:s)?://)?(?P.*)$", host) + if maybe_url_match is None: + raise ValueError( + f"Unexpected hostname structure: {host}" + ) # pragma: NO COVER + + url_match_items = maybe_url_match.groupdict() + + host = f"{url_scheme}://{host}" if not url_match_items["scheme"] else host + + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + class _BaseCreateDeploymentResourcePool: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{parent=projects/*/locations/*}/deploymentResourcePools", + "body": "*", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = ( + deployment_resource_pool_service.CreateDeploymentResourcePoolRequest.pb( + request + ) + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request["body"], use_integers_for_enums=True + ) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseDeploymentResourcePoolServiceRestTransport._BaseCreateDeploymentResourcePool._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseDeleteDeploymentResourcePool: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = ( + deployment_resource_pool_service.DeleteDeploymentResourcePoolRequest.pb( + request + ) + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseDeploymentResourcePoolServiceRestTransport._BaseDeleteDeploymentResourcePool._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseGetDeploymentResourcePool: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = ( + deployment_resource_pool_service.GetDeploymentResourcePoolRequest.pb( + request + ) + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseDeploymentResourcePoolServiceRestTransport._BaseGetDeploymentResourcePool._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseListDeploymentResourcePools: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/v1/{parent=projects/*/locations/*}/deploymentResourcePools", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = ( + deployment_resource_pool_service.ListDeploymentResourcePoolsRequest.pb( + request + ) + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseDeploymentResourcePoolServiceRestTransport._BaseListDeploymentResourcePools._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseQueryDeployedModels: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/v1/{deployment_resource_pool=projects/*/locations/*/deploymentResourcePools/*}:queryDeployedModels", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = deployment_resource_pool_service.QueryDeployedModelsRequest.pb( + request + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseDeploymentResourcePoolServiceRestTransport._BaseQueryDeployedModels._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseUpdateDeploymentResourcePool: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + "updateMask": {}, + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "patch", + "uri": "/v1/{deployment_resource_pool.name=projects/*/locations/*/deploymentResourcePools/*}", + "body": "deployment_resource_pool", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = ( + deployment_resource_pool_service.UpdateDeploymentResourcePoolRequest.pb( + request + ) + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request["body"], use_integers_for_enums=True + ) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseDeploymentResourcePoolServiceRestTransport._BaseUpdateDeploymentResourcePool._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseGetLocation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseListLocations: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*}/locations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*}/locations", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseGetIamPolicy: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/models/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/models/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/endpoints/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/publishers/*/models/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureGroups/*}:getIamPolicy", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseSetIamPolicy: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/models/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/models/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/endpoints/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureGroups/*}:setIamPolicy", + "body": "*", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + body = json.dumps(transcoded_request["body"]) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseTestIamPermissions: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/models/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/models/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/endpoints/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureGroups/*}:testIamPermissions", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseCancelOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseDeleteOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensions/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseGetOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseListOperations: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/agents/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/apps/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensions/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/schedules/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/schedules/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=reasoningEngines/*/sessions/*}/operations", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseWaitOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:wait", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + +__all__ = ("_BaseDeploymentResourcePoolServiceRestTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/endpoint_service/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/endpoint_service/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..820efd7010167570c6d775e4959c08ae663d21f9 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/endpoint_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import EndpointServiceClient +from .async_client import EndpointServiceAsyncClient + +__all__ = ( + "EndpointServiceClient", + "EndpointServiceAsyncClient", +) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/endpoint_service/async_client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/endpoint_service/async_client.py new file mode 100644 index 0000000000000000000000000000000000000000..f3a2b094ea425d805a899bac0ac565e0ba32921e --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/endpoint_service/async_client.py @@ -0,0 +1,2338 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging as std_logging +from collections import OrderedDict +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, +) + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.services.endpoint_service import pagers +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import endpoint +from google.cloud.aiplatform_v1.types import endpoint as gca_endpoint +from google.cloud.aiplatform_v1.types import endpoint_service +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.aiplatform_v1.types import service_networking +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +from .transports.base import EndpointServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import EndpointServiceGrpcAsyncIOTransport +from .client import EndpointServiceClient + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class EndpointServiceAsyncClient: + """A service for managing Vertex AI's Endpoints.""" + + _client: EndpointServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = EndpointServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = EndpointServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = EndpointServiceClient._DEFAULT_ENDPOINT_TEMPLATE + _DEFAULT_UNIVERSE = EndpointServiceClient._DEFAULT_UNIVERSE + + deployment_resource_pool_path = staticmethod( + EndpointServiceClient.deployment_resource_pool_path + ) + parse_deployment_resource_pool_path = staticmethod( + EndpointServiceClient.parse_deployment_resource_pool_path + ) + endpoint_path = staticmethod(EndpointServiceClient.endpoint_path) + parse_endpoint_path = staticmethod(EndpointServiceClient.parse_endpoint_path) + model_path = staticmethod(EndpointServiceClient.model_path) + parse_model_path = staticmethod(EndpointServiceClient.parse_model_path) + model_deployment_monitoring_job_path = staticmethod( + EndpointServiceClient.model_deployment_monitoring_job_path + ) + parse_model_deployment_monitoring_job_path = staticmethod( + EndpointServiceClient.parse_model_deployment_monitoring_job_path + ) + network_path = staticmethod(EndpointServiceClient.network_path) + parse_network_path = staticmethod(EndpointServiceClient.parse_network_path) + reservation_path = staticmethod(EndpointServiceClient.reservation_path) + parse_reservation_path = staticmethod(EndpointServiceClient.parse_reservation_path) + common_billing_account_path = staticmethod( + EndpointServiceClient.common_billing_account_path + ) + parse_common_billing_account_path = staticmethod( + EndpointServiceClient.parse_common_billing_account_path + ) + common_folder_path = staticmethod(EndpointServiceClient.common_folder_path) + parse_common_folder_path = staticmethod( + EndpointServiceClient.parse_common_folder_path + ) + common_organization_path = staticmethod( + EndpointServiceClient.common_organization_path + ) + parse_common_organization_path = staticmethod( + EndpointServiceClient.parse_common_organization_path + ) + common_project_path = staticmethod(EndpointServiceClient.common_project_path) + parse_common_project_path = staticmethod( + EndpointServiceClient.parse_common_project_path + ) + common_location_path = staticmethod(EndpointServiceClient.common_location_path) + parse_common_location_path = staticmethod( + EndpointServiceClient.parse_common_location_path + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + EndpointServiceAsyncClient: The constructed client. + """ + sa_info_func = ( + EndpointServiceClient.from_service_account_info.__func__ # type: ignore + ) + return sa_info_func(EndpointServiceAsyncClient, info, *args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + EndpointServiceAsyncClient: The constructed client. + """ + sa_file_func = ( + EndpointServiceClient.from_service_account_file.__func__ # type: ignore + ) + return sa_file_func(EndpointServiceAsyncClient, filename, *args, **kwargs) + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[ClientOptions] = None + ): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return EndpointServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> EndpointServiceTransport: + """Returns the transport used by the client instance. + + Returns: + EndpointServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = EndpointServiceClient.get_transport_class + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, EndpointServiceTransport, Callable[..., EndpointServiceTransport] + ] + ] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the endpoint service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,EndpointServiceTransport,Callable[..., EndpointServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport to use. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the EndpointServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = EndpointServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.EndpointServiceAsyncClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.EndpointService", + "universeDomain": getattr( + self._client._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._client._transport._credentials).__module__}.{type(self._client._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, "get_cred_info", lambda: None + )(), + } + if hasattr(self._client._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.EndpointService", + "credentialsType": None, + } + ), + ) + + async def create_endpoint( + self, + request: Optional[Union[endpoint_service.CreateEndpointRequest, dict]] = None, + *, + parent: Optional[str] = None, + endpoint: Optional[gca_endpoint.Endpoint] = None, + endpoint_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Creates an Endpoint. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_endpoint(): + # Create a client + client = aiplatform_v1.EndpointServiceAsyncClient() + + # Initialize request argument(s) + endpoint = aiplatform_v1.Endpoint() + endpoint.display_name = "display_name_value" + + request = aiplatform_v1.CreateEndpointRequest( + parent="parent_value", + endpoint=endpoint, + ) + + # Make the request + operation = client.create_endpoint(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateEndpointRequest, dict]]): + The request object. Request message for + [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint]. + parent (:class:`str`): + Required. The resource name of the Location to create + the Endpoint in. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + endpoint (:class:`google.cloud.aiplatform_v1.types.Endpoint`): + Required. The Endpoint to create. + This corresponds to the ``endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + endpoint_id (:class:`str`): + Immutable. The ID to use for endpoint, which will become + the final component of the endpoint resource name. If + not provided, Vertex AI will generate a value for this + ID. + + If the first character is a letter, this value may be up + to 63 characters, and valid characters are + ``[a-z0-9-]``. The last character must be a letter or + number. + + If the first character is a number, this value may be up + to 9 characters, and valid characters are ``[0-9]`` with + no leading zeros. + + When using HTTP/JSON, this field is populated based on a + query string argument, such as ``?endpoint_id=12345``. + This is the fallback for fields that are not included in + either the URI or the body. + + This corresponds to the ``endpoint_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.Endpoint` Models are deployed into it, and afterwards Endpoint is called to obtain + predictions and explanations. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, endpoint, endpoint_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, endpoint_service.CreateEndpointRequest): + request = endpoint_service.CreateEndpointRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if endpoint is not None: + request.endpoint = endpoint + if endpoint_id is not None: + request.endpoint_id = endpoint_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_endpoint + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gca_endpoint.Endpoint, + metadata_type=endpoint_service.CreateEndpointOperationMetadata, + ) + + # Done; return the response. + return response + + async def get_endpoint( + self, + request: Optional[Union[endpoint_service.GetEndpointRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> endpoint.Endpoint: + r"""Gets an Endpoint. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_endpoint(): + # Create a client + client = aiplatform_v1.EndpointServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetEndpointRequest( + name="name_value", + ) + + # Make the request + response = await client.get_endpoint(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetEndpointRequest, dict]]): + The request object. Request message for + [EndpointService.GetEndpoint][google.cloud.aiplatform.v1.EndpointService.GetEndpoint] + name (:class:`str`): + Required. The name of the Endpoint resource. Format: + ``projects/{project}/locations/{location}/endpoints/{endpoint}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Endpoint: + Models are deployed into it, and + afterwards Endpoint is called to obtain + predictions and explanations. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, endpoint_service.GetEndpointRequest): + request = endpoint_service.GetEndpointRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_endpoint + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_endpoints( + self, + request: Optional[Union[endpoint_service.ListEndpointsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListEndpointsAsyncPager: + r"""Lists Endpoints in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_endpoints(): + # Create a client + client = aiplatform_v1.EndpointServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListEndpointsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_endpoints(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListEndpointsRequest, dict]]): + The request object. Request message for + [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints]. + parent (:class:`str`): + Required. The resource name of the Location from which + to list the Endpoints. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.endpoint_service.pagers.ListEndpointsAsyncPager: + Response message for + [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, endpoint_service.ListEndpointsRequest): + request = endpoint_service.ListEndpointsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_endpoints + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListEndpointsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def update_endpoint( + self, + request: Optional[Union[endpoint_service.UpdateEndpointRequest, dict]] = None, + *, + endpoint: Optional[gca_endpoint.Endpoint] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_endpoint.Endpoint: + r"""Updates an Endpoint. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_update_endpoint(): + # Create a client + client = aiplatform_v1.EndpointServiceAsyncClient() + + # Initialize request argument(s) + endpoint = aiplatform_v1.Endpoint() + endpoint.display_name = "display_name_value" + + request = aiplatform_v1.UpdateEndpointRequest( + endpoint=endpoint, + ) + + # Make the request + response = await client.update_endpoint(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UpdateEndpointRequest, dict]]): + The request object. Request message for + [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint]. + endpoint (:class:`google.cloud.aiplatform_v1.types.Endpoint`): + Required. The Endpoint which replaces + the resource on the server. + + This corresponds to the ``endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Required. The update mask applies to the resource. See + [google.protobuf.FieldMask][google.protobuf.FieldMask]. + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Endpoint: + Models are deployed into it, and + afterwards Endpoint is called to obtain + predictions and explanations. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [endpoint, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, endpoint_service.UpdateEndpointRequest): + request = endpoint_service.UpdateEndpointRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if endpoint is not None: + request.endpoint = endpoint + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.update_endpoint + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("endpoint.name", request.endpoint.name),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def update_endpoint_long_running( + self, + request: Optional[ + Union[endpoint_service.UpdateEndpointLongRunningRequest, dict] + ] = None, + *, + endpoint: Optional[gca_endpoint.Endpoint] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Updates an Endpoint with a long running operation. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_update_endpoint_long_running(): + # Create a client + client = aiplatform_v1.EndpointServiceAsyncClient() + + # Initialize request argument(s) + endpoint = aiplatform_v1.Endpoint() + endpoint.display_name = "display_name_value" + + request = aiplatform_v1.UpdateEndpointLongRunningRequest( + endpoint=endpoint, + ) + + # Make the request + operation = client.update_endpoint_long_running(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UpdateEndpointLongRunningRequest, dict]]): + The request object. Request message for + [EndpointService.UpdateEndpointLongRunning][google.cloud.aiplatform.v1.EndpointService.UpdateEndpointLongRunning]. + endpoint (:class:`google.cloud.aiplatform_v1.types.Endpoint`): + Required. The Endpoint which replaces the resource on + the server. Currently we only support updating the + ``client_connection_config`` field, all the other + fields' update will be blocked. + + This corresponds to the ``endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.Endpoint` Models are deployed into it, and afterwards Endpoint is called to obtain + predictions and explanations. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [endpoint] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, endpoint_service.UpdateEndpointLongRunningRequest): + request = endpoint_service.UpdateEndpointLongRunningRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if endpoint is not None: + request.endpoint = endpoint + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.update_endpoint_long_running + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("endpoint.name", request.endpoint.name),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gca_endpoint.Endpoint, + metadata_type=endpoint_service.UpdateEndpointOperationMetadata, + ) + + # Done; return the response. + return response + + async def delete_endpoint( + self, + request: Optional[Union[endpoint_service.DeleteEndpointRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes an Endpoint. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_endpoint(): + # Create a client + client = aiplatform_v1.EndpointServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteEndpointRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_endpoint(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteEndpointRequest, dict]]): + The request object. Request message for + [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1.EndpointService.DeleteEndpoint]. + name (:class:`str`): + Required. The name of the Endpoint resource to be + deleted. Format: + ``projects/{project}/locations/{location}/endpoints/{endpoint}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, endpoint_service.DeleteEndpointRequest): + request = endpoint_service.DeleteEndpointRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_endpoint + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def deploy_model( + self, + request: Optional[Union[endpoint_service.DeployModelRequest, dict]] = None, + *, + endpoint: Optional[str] = None, + deployed_model: Optional[gca_endpoint.DeployedModel] = None, + traffic_split: Optional[MutableMapping[str, int]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deploys a Model into this Endpoint, creating a + DeployedModel within it. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_deploy_model(): + # Create a client + client = aiplatform_v1.EndpointServiceAsyncClient() + + # Initialize request argument(s) + deployed_model = aiplatform_v1.DeployedModel() + deployed_model.dedicated_resources.min_replica_count = 1803 + + request = aiplatform_v1.DeployModelRequest( + endpoint="endpoint_value", + deployed_model=deployed_model, + ) + + # Make the request + operation = client.deploy_model(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeployModelRequest, dict]]): + The request object. Request message for + [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]. + endpoint (:class:`str`): + Required. The name of the Endpoint resource into which + to deploy a Model. Format: + ``projects/{project}/locations/{location}/endpoints/{endpoint}`` + + This corresponds to the ``endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + deployed_model (:class:`google.cloud.aiplatform_v1.types.DeployedModel`): + Required. The DeployedModel to be created within the + Endpoint. Note that + [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] + must be updated for the DeployedModel to start receiving + traffic, either as part of this call, or via + [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint]. + + This corresponds to the ``deployed_model`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + traffic_split (:class:`MutableMapping[str, int]`): + A map from a DeployedModel's ID to the percentage of + this Endpoint's traffic that should be forwarded to that + DeployedModel. + + If this field is non-empty, then the Endpoint's + [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] + will be overwritten with it. To refer to the ID of the + just being deployed Model, a "0" should be used, and the + actual ID of the new DeployedModel will be filled in its + place by this method. The traffic percentage values must + add up to 100. + + If this field is empty, then the Endpoint's + [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] + is not updated. + + This corresponds to the ``traffic_split`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.DeployModelResponse` Response message for + [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [endpoint, deployed_model, traffic_split] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, endpoint_service.DeployModelRequest): + request = endpoint_service.DeployModelRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if endpoint is not None: + request.endpoint = endpoint + if deployed_model is not None: + request.deployed_model = deployed_model + + if traffic_split: + request.traffic_split.update(traffic_split) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.deploy_model + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("endpoint", request.endpoint),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + endpoint_service.DeployModelResponse, + metadata_type=endpoint_service.DeployModelOperationMetadata, + ) + + # Done; return the response. + return response + + async def undeploy_model( + self, + request: Optional[Union[endpoint_service.UndeployModelRequest, dict]] = None, + *, + endpoint: Optional[str] = None, + deployed_model_id: Optional[str] = None, + traffic_split: Optional[MutableMapping[str, int]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Undeploys a Model from an Endpoint, removing a + DeployedModel from it, and freeing all resources it's + using. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_undeploy_model(): + # Create a client + client = aiplatform_v1.EndpointServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.UndeployModelRequest( + endpoint="endpoint_value", + deployed_model_id="deployed_model_id_value", + ) + + # Make the request + operation = client.undeploy_model(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UndeployModelRequest, dict]]): + The request object. Request message for + [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]. + endpoint (:class:`str`): + Required. The name of the Endpoint resource from which + to undeploy a Model. Format: + ``projects/{project}/locations/{location}/endpoints/{endpoint}`` + + This corresponds to the ``endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + deployed_model_id (:class:`str`): + Required. The ID of the DeployedModel + to be undeployed from the Endpoint. + + This corresponds to the ``deployed_model_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + traffic_split (:class:`MutableMapping[str, int]`): + If this field is provided, then the Endpoint's + [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] + will be overwritten with it. If last DeployedModel is + being undeployed from the Endpoint, the + [Endpoint.traffic_split] will always end up empty when + this call returns. A DeployedModel will be successfully + undeployed only if it doesn't have any traffic assigned + to it when this method executes, or if this field + unassigns any traffic to it. + + This corresponds to the ``traffic_split`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.UndeployModelResponse` Response message for + [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [endpoint, deployed_model_id, traffic_split] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, endpoint_service.UndeployModelRequest): + request = endpoint_service.UndeployModelRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if endpoint is not None: + request.endpoint = endpoint + if deployed_model_id is not None: + request.deployed_model_id = deployed_model_id + + if traffic_split: + request.traffic_split.update(traffic_split) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.undeploy_model + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("endpoint", request.endpoint),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + endpoint_service.UndeployModelResponse, + metadata_type=endpoint_service.UndeployModelOperationMetadata, + ) + + # Done; return the response. + return response + + async def mutate_deployed_model( + self, + request: Optional[ + Union[endpoint_service.MutateDeployedModelRequest, dict] + ] = None, + *, + endpoint: Optional[str] = None, + deployed_model: Optional[gca_endpoint.DeployedModel] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Updates an existing deployed model. Updatable fields include + ``min_replica_count``, ``max_replica_count``, + ``required_replica_count``, ``autoscaling_metric_specs``, + ``disable_container_logging`` (v1 only), and + ``enable_container_logging`` (v1beta1 only). + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_mutate_deployed_model(): + # Create a client + client = aiplatform_v1.EndpointServiceAsyncClient() + + # Initialize request argument(s) + deployed_model = aiplatform_v1.DeployedModel() + deployed_model.dedicated_resources.min_replica_count = 1803 + + request = aiplatform_v1.MutateDeployedModelRequest( + endpoint="endpoint_value", + deployed_model=deployed_model, + ) + + # Make the request + operation = client.mutate_deployed_model(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.MutateDeployedModelRequest, dict]]): + The request object. Request message for + [EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel]. + endpoint (:class:`str`): + Required. The name of the Endpoint resource into which + to mutate a DeployedModel. Format: + ``projects/{project}/locations/{location}/endpoints/{endpoint}`` + + This corresponds to the ``endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + deployed_model (:class:`google.cloud.aiplatform_v1.types.DeployedModel`): + Required. The DeployedModel to be mutated within the + Endpoint. Only the following fields can be mutated: + + - ``min_replica_count`` in either + [DedicatedResources][google.cloud.aiplatform.v1.DedicatedResources] + or + [AutomaticResources][google.cloud.aiplatform.v1.AutomaticResources] + - ``max_replica_count`` in either + [DedicatedResources][google.cloud.aiplatform.v1.DedicatedResources] + or + [AutomaticResources][google.cloud.aiplatform.v1.AutomaticResources] + - ``required_replica_count`` in + [DedicatedResources][google.cloud.aiplatform.v1.DedicatedResources] + - [autoscaling_metric_specs][google.cloud.aiplatform.v1.DedicatedResources.autoscaling_metric_specs] + - ``disable_container_logging`` (v1 only) + - ``enable_container_logging`` (v1beta1 only) + + This corresponds to the ``deployed_model`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Required. The update mask applies to the resource. See + [google.protobuf.FieldMask][google.protobuf.FieldMask]. + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.MutateDeployedModelResponse` Response message for + [EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [endpoint, deployed_model, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, endpoint_service.MutateDeployedModelRequest): + request = endpoint_service.MutateDeployedModelRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if endpoint is not None: + request.endpoint = endpoint + if deployed_model is not None: + request.deployed_model = deployed_model + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.mutate_deployed_model + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("endpoint", request.endpoint),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + endpoint_service.MutateDeployedModelResponse, + metadata_type=endpoint_service.MutateDeployedModelOperationMetadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[ + self._client._transport.test_iam_permissions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self) -> "EndpointServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +__all__ = ("EndpointServiceAsyncClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/endpoint_service/client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/endpoint_service/client.py new file mode 100644 index 0000000000000000000000000000000000000000..766cf264427cc85036d61a1acaaca05007e4e391 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/endpoint_service/client.py @@ -0,0 +1,2909 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from http import HTTPStatus +import json +import logging as std_logging +import os +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, + cast, +) +import warnings + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + +from google.cloud.aiplatform_v1.services.endpoint_service import pagers +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import endpoint +from google.cloud.aiplatform_v1.types import endpoint as gca_endpoint +from google.cloud.aiplatform_v1.types import endpoint_service +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.aiplatform_v1.types import service_networking +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +from .transports.base import EndpointServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import EndpointServiceGrpcTransport +from .transports.grpc_asyncio import EndpointServiceGrpcAsyncIOTransport +from .transports.rest import EndpointServiceRestTransport + +try: + from .transports.rest_asyncio import AsyncEndpointServiceRestTransport + + HAS_ASYNC_REST_DEPENDENCIES = True +except ImportError as e: # pragma: NO COVER + HAS_ASYNC_REST_DEPENDENCIES = False + ASYNC_REST_EXCEPTION = e + + +class EndpointServiceClientMeta(type): + """Metaclass for the EndpointService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + + _transport_registry = ( + OrderedDict() + ) # type: Dict[str, Type[EndpointServiceTransport]] + _transport_registry["grpc"] = EndpointServiceGrpcTransport + _transport_registry["grpc_asyncio"] = EndpointServiceGrpcAsyncIOTransport + _transport_registry["rest"] = EndpointServiceRestTransport + if HAS_ASYNC_REST_DEPENDENCIES: # pragma: NO COVER + _transport_registry["rest_asyncio"] = AsyncEndpointServiceRestTransport + + def get_transport_class( + cls, + label: Optional[str] = None, + ) -> Type[EndpointServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if ( + label == "rest_asyncio" and not HAS_ASYNC_REST_DEPENDENCIES + ): # pragma: NO COVER + raise ASYNC_REST_EXCEPTION + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class EndpointServiceClient(metaclass=EndpointServiceClientMeta): + """A service for managing Vertex AI's Endpoints.""" + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "aiplatform.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @staticmethod + def _use_client_cert_effective(): + """Returns whether client certificate should be used for mTLS if the + google-auth version supports should_use_client_cert automatic mTLS enablement. + + Alternatively, read from the GOOGLE_API_USE_CLIENT_CERTIFICATE env var. + + Returns: + bool: whether client certificate should be used for mTLS + Raises: + ValueError: (If using a version of google-auth without should_use_client_cert and + GOOGLE_API_USE_CLIENT_CERTIFICATE is set to an unexpected value.) + """ + # check if google-auth version supports should_use_client_cert for automatic mTLS enablement + if hasattr(mtls, "should_use_client_cert"): # pragma: NO COVER + return mtls.should_use_client_cert() + else: # pragma: NO COVER + # if unsupported, fallback to reading from env var + use_client_cert_str = os.getenv( + "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false" + ).lower() + if use_client_cert_str not in ("true", "false"): + raise ValueError( + "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be" + " either `true` or `false`" + ) + return use_client_cert_str == "true" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + EndpointServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + EndpointServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file(filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> EndpointServiceTransport: + """Returns the transport used by the client instance. + + Returns: + EndpointServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def deployment_resource_pool_path( + project: str, + location: str, + deployment_resource_pool: str, + ) -> str: + """Returns a fully-qualified deployment_resource_pool string.""" + return "projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}".format( + project=project, + location=location, + deployment_resource_pool=deployment_resource_pool, + ) + + @staticmethod + def parse_deployment_resource_pool_path(path: str) -> Dict[str, str]: + """Parses a deployment_resource_pool path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/deploymentResourcePools/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def endpoint_path( + project: str, + location: str, + endpoint: str, + ) -> str: + """Returns a fully-qualified endpoint string.""" + return "projects/{project}/locations/{location}/endpoints/{endpoint}".format( + project=project, + location=location, + endpoint=endpoint, + ) + + @staticmethod + def parse_endpoint_path(path: str) -> Dict[str, str]: + """Parses a endpoint path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/endpoints/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def model_path( + project: str, + location: str, + model: str, + ) -> str: + """Returns a fully-qualified model string.""" + return "projects/{project}/locations/{location}/models/{model}".format( + project=project, + location=location, + model=model, + ) + + @staticmethod + def parse_model_path(path: str) -> Dict[str, str]: + """Parses a model path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/models/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def model_deployment_monitoring_job_path( + project: str, + location: str, + model_deployment_monitoring_job: str, + ) -> str: + """Returns a fully-qualified model_deployment_monitoring_job string.""" + return "projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}".format( + project=project, + location=location, + model_deployment_monitoring_job=model_deployment_monitoring_job, + ) + + @staticmethod + def parse_model_deployment_monitoring_job_path(path: str) -> Dict[str, str]: + """Parses a model_deployment_monitoring_job path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/modelDeploymentMonitoringJobs/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def network_path( + project: str, + network: str, + ) -> str: + """Returns a fully-qualified network string.""" + return "projects/{project}/global/networks/{network}".format( + project=project, + network=network, + ) + + @staticmethod + def parse_network_path(path: str) -> Dict[str, str]: + """Parses a network path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/global/networks/(?P.+?)$", path + ) + return m.groupdict() if m else {} + + @staticmethod + def reservation_path( + project_id_or_number: str, + zone: str, + reservation_name: str, + ) -> str: + """Returns a fully-qualified reservation string.""" + return "projects/{project_id_or_number}/zones/{zone}/reservations/{reservation_name}".format( + project_id_or_number=project_id_or_number, + zone=zone, + reservation_name=reservation_name, + ) + + @staticmethod + def parse_reservation_path(path: str) -> Dict[str, str]: + """Parses a reservation path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/zones/(?P.+?)/reservations/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path( + billing_account: str, + ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format( + billing_account=billing_account, + ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str, str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path( + folder: str, + ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format( + folder=folder, + ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str, str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path( + organization: str, + ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format( + organization=organization, + ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str, str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path( + project: str, + ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format( + project=project, + ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str, str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path( + project: str, + location: str, + ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format( + project=project, + location=location, + ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str, str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[client_options_lib.ClientOptions] = None + ): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn( + "get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning, + ) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = EndpointServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert: + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = EndpointServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + return use_client_cert, use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint( + api_override, client_cert_source, universe_domain, use_mtls_endpoint + ): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + _default_universe = EndpointServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError( + f"mTLS is not supported in any universe other than {_default_universe}." + ) + api_endpoint = EndpointServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = EndpointServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format( + UNIVERSE_DOMAIN=universe_domain + ) + return api_endpoint + + @staticmethod + def _get_universe_domain( + client_universe_domain: Optional[str], universe_domain_env: Optional[str] + ) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = EndpointServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + + # NOTE (b/349488459): universe validation is disabled until further notice. + return True + + def _add_cred_info_for_auth_errors( + self, error: core_exceptions.GoogleAPICallError + ) -> None: + """Adds credential info string to error details for 401/403/404 errors. + + Args: + error (google.api_core.exceptions.GoogleAPICallError): The error to add the cred info. + """ + if error.code not in [ + HTTPStatus.UNAUTHORIZED, + HTTPStatus.FORBIDDEN, + HTTPStatus.NOT_FOUND, + ]: + return + + cred = self._transport._credentials + + # get_cred_info is only available in google-auth>=2.35.0 + if not hasattr(cred, "get_cred_info"): + return + + # ignore the type check since pypy test fails when get_cred_info + # is not available + cred_info = cred.get_cred_info() # type: ignore + if cred_info and hasattr(error._details, "append"): + error._details.append(json.dumps(cred_info)) + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, EndpointServiceTransport, Callable[..., EndpointServiceTransport] + ] + ] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the endpoint service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,EndpointServiceTransport,Callable[..., EndpointServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the EndpointServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast( + client_options_lib.ClientOptions, self._client_options + ) + + universe_domain_opt = getattr(self._client_options, "universe_domain", None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = ( + EndpointServiceClient._read_environment_variables() + ) + self._client_cert_source = EndpointServiceClient._get_client_cert_source( + self._client_options.client_cert_source, self._use_client_cert + ) + self._universe_domain = EndpointServiceClient._get_universe_domain( + universe_domain_opt, self._universe_domain_env + ) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + if CLIENT_LOGGING_SUPPORTED: # pragma: NO COVER + # Setup logging. + client_logging.initialize_logging() + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError( + "client_options.api_key and credentials are mutually exclusive" + ) + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance(transport, EndpointServiceTransport) + if transport_provided: + # transport is a EndpointServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError( + "When providing a transport instance, " + "provide its credentials directly." + ) + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(EndpointServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = ( + self._api_endpoint + or EndpointServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint, + ) + ) + + if not transport_provided: + transport_init: Union[ + Type[EndpointServiceTransport], Callable[..., EndpointServiceTransport] + ] = ( + EndpointServiceClient.get_transport_class(transport) + if isinstance(transport, str) or transport is None + else cast(Callable[..., EndpointServiceTransport], transport) + ) + + if "rest_asyncio" in str(transport_init): + unsupported_params = { + "google.api_core.client_options.ClientOptions.credentials_file": self._client_options.credentials_file, + "google.api_core.client_options.ClientOptions.scopes": self._client_options.scopes, + "google.api_core.client_options.ClientOptions.quota_project_id": self._client_options.quota_project_id, + "google.api_core.client_options.ClientOptions.client_cert_source": self._client_options.client_cert_source, + "google.api_core.client_options.ClientOptions.api_audience": self._client_options.api_audience, + } + provided_unsupported_params = [ + name + for name, value in unsupported_params.items() + if value is not None + ] + if provided_unsupported_params: + raise core_exceptions.AsyncRestUnsupportedParameterError( # type: ignore + f"The following provided parameters are not supported for `transport=rest_asyncio`: {', '.join(provided_unsupported_params)}" + ) + self._transport = transport_init( + credentials=credentials, + host=self._api_endpoint, + client_info=client_info, + ) + return + + import google.auth._default # type: ignore + + if api_key_value and hasattr( + google.auth._default, "get_api_key_credentials" + ): + credentials = google.auth._default.get_api_key_credentials( + api_key_value + ) + + # initialize with the provided callable or the passed in class + self._transport = transport_init( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + if "async" not in str(self._transport): + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.EndpointServiceClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.EndpointService", + "universeDomain": getattr( + self._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._transport._credentials).__module__}.{type(self._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, + "get_cred_info", + lambda: None, + )(), + } + if hasattr(self._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.EndpointService", + "credentialsType": None, + } + ), + ) + + def create_endpoint( + self, + request: Optional[Union[endpoint_service.CreateEndpointRequest, dict]] = None, + *, + parent: Optional[str] = None, + endpoint: Optional[gca_endpoint.Endpoint] = None, + endpoint_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Creates an Endpoint. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_endpoint(): + # Create a client + client = aiplatform_v1.EndpointServiceClient() + + # Initialize request argument(s) + endpoint = aiplatform_v1.Endpoint() + endpoint.display_name = "display_name_value" + + request = aiplatform_v1.CreateEndpointRequest( + parent="parent_value", + endpoint=endpoint, + ) + + # Make the request + operation = client.create_endpoint(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateEndpointRequest, dict]): + The request object. Request message for + [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint]. + parent (str): + Required. The resource name of the Location to create + the Endpoint in. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + endpoint (google.cloud.aiplatform_v1.types.Endpoint): + Required. The Endpoint to create. + This corresponds to the ``endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + endpoint_id (str): + Immutable. The ID to use for endpoint, which will become + the final component of the endpoint resource name. If + not provided, Vertex AI will generate a value for this + ID. + + If the first character is a letter, this value may be up + to 63 characters, and valid characters are + ``[a-z0-9-]``. The last character must be a letter or + number. + + If the first character is a number, this value may be up + to 9 characters, and valid characters are ``[0-9]`` with + no leading zeros. + + When using HTTP/JSON, this field is populated based on a + query string argument, such as ``?endpoint_id=12345``. + This is the fallback for fields that are not included in + either the URI or the body. + + This corresponds to the ``endpoint_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.Endpoint` Models are deployed into it, and afterwards Endpoint is called to obtain + predictions and explanations. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, endpoint, endpoint_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, endpoint_service.CreateEndpointRequest): + request = endpoint_service.CreateEndpointRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if endpoint is not None: + request.endpoint = endpoint + if endpoint_id is not None: + request.endpoint_id = endpoint_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_endpoint] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + gca_endpoint.Endpoint, + metadata_type=endpoint_service.CreateEndpointOperationMetadata, + ) + + # Done; return the response. + return response + + def get_endpoint( + self, + request: Optional[Union[endpoint_service.GetEndpointRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> endpoint.Endpoint: + r"""Gets an Endpoint. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_endpoint(): + # Create a client + client = aiplatform_v1.EndpointServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetEndpointRequest( + name="name_value", + ) + + # Make the request + response = client.get_endpoint(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetEndpointRequest, dict]): + The request object. Request message for + [EndpointService.GetEndpoint][google.cloud.aiplatform.v1.EndpointService.GetEndpoint] + name (str): + Required. The name of the Endpoint resource. Format: + ``projects/{project}/locations/{location}/endpoints/{endpoint}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Endpoint: + Models are deployed into it, and + afterwards Endpoint is called to obtain + predictions and explanations. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, endpoint_service.GetEndpointRequest): + request = endpoint_service.GetEndpointRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_endpoint] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_endpoints( + self, + request: Optional[Union[endpoint_service.ListEndpointsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListEndpointsPager: + r"""Lists Endpoints in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_endpoints(): + # Create a client + client = aiplatform_v1.EndpointServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListEndpointsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_endpoints(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListEndpointsRequest, dict]): + The request object. Request message for + [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints]. + parent (str): + Required. The resource name of the Location from which + to list the Endpoints. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.endpoint_service.pagers.ListEndpointsPager: + Response message for + [EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, endpoint_service.ListEndpointsRequest): + request = endpoint_service.ListEndpointsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_endpoints] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListEndpointsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def update_endpoint( + self, + request: Optional[Union[endpoint_service.UpdateEndpointRequest, dict]] = None, + *, + endpoint: Optional[gca_endpoint.Endpoint] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_endpoint.Endpoint: + r"""Updates an Endpoint. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_update_endpoint(): + # Create a client + client = aiplatform_v1.EndpointServiceClient() + + # Initialize request argument(s) + endpoint = aiplatform_v1.Endpoint() + endpoint.display_name = "display_name_value" + + request = aiplatform_v1.UpdateEndpointRequest( + endpoint=endpoint, + ) + + # Make the request + response = client.update_endpoint(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UpdateEndpointRequest, dict]): + The request object. Request message for + [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint]. + endpoint (google.cloud.aiplatform_v1.types.Endpoint): + Required. The Endpoint which replaces + the resource on the server. + + This corresponds to the ``endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Required. The update mask applies to the resource. See + [google.protobuf.FieldMask][google.protobuf.FieldMask]. + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Endpoint: + Models are deployed into it, and + afterwards Endpoint is called to obtain + predictions and explanations. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [endpoint, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, endpoint_service.UpdateEndpointRequest): + request = endpoint_service.UpdateEndpointRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if endpoint is not None: + request.endpoint = endpoint + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.update_endpoint] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("endpoint.name", request.endpoint.name),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def update_endpoint_long_running( + self, + request: Optional[ + Union[endpoint_service.UpdateEndpointLongRunningRequest, dict] + ] = None, + *, + endpoint: Optional[gca_endpoint.Endpoint] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Updates an Endpoint with a long running operation. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_update_endpoint_long_running(): + # Create a client + client = aiplatform_v1.EndpointServiceClient() + + # Initialize request argument(s) + endpoint = aiplatform_v1.Endpoint() + endpoint.display_name = "display_name_value" + + request = aiplatform_v1.UpdateEndpointLongRunningRequest( + endpoint=endpoint, + ) + + # Make the request + operation = client.update_endpoint_long_running(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UpdateEndpointLongRunningRequest, dict]): + The request object. Request message for + [EndpointService.UpdateEndpointLongRunning][google.cloud.aiplatform.v1.EndpointService.UpdateEndpointLongRunning]. + endpoint (google.cloud.aiplatform_v1.types.Endpoint): + Required. The Endpoint which replaces the resource on + the server. Currently we only support updating the + ``client_connection_config`` field, all the other + fields' update will be blocked. + + This corresponds to the ``endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.Endpoint` Models are deployed into it, and afterwards Endpoint is called to obtain + predictions and explanations. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [endpoint] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, endpoint_service.UpdateEndpointLongRunningRequest): + request = endpoint_service.UpdateEndpointLongRunningRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if endpoint is not None: + request.endpoint = endpoint + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.update_endpoint_long_running + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("endpoint.name", request.endpoint.name),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + gca_endpoint.Endpoint, + metadata_type=endpoint_service.UpdateEndpointOperationMetadata, + ) + + # Done; return the response. + return response + + def delete_endpoint( + self, + request: Optional[Union[endpoint_service.DeleteEndpointRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes an Endpoint. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_endpoint(): + # Create a client + client = aiplatform_v1.EndpointServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteEndpointRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_endpoint(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteEndpointRequest, dict]): + The request object. Request message for + [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1.EndpointService.DeleteEndpoint]. + name (str): + Required. The name of the Endpoint resource to be + deleted. Format: + ``projects/{project}/locations/{location}/endpoints/{endpoint}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, endpoint_service.DeleteEndpointRequest): + request = endpoint_service.DeleteEndpointRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_endpoint] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def deploy_model( + self, + request: Optional[Union[endpoint_service.DeployModelRequest, dict]] = None, + *, + endpoint: Optional[str] = None, + deployed_model: Optional[gca_endpoint.DeployedModel] = None, + traffic_split: Optional[MutableMapping[str, int]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deploys a Model into this Endpoint, creating a + DeployedModel within it. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_deploy_model(): + # Create a client + client = aiplatform_v1.EndpointServiceClient() + + # Initialize request argument(s) + deployed_model = aiplatform_v1.DeployedModel() + deployed_model.dedicated_resources.min_replica_count = 1803 + + request = aiplatform_v1.DeployModelRequest( + endpoint="endpoint_value", + deployed_model=deployed_model, + ) + + # Make the request + operation = client.deploy_model(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeployModelRequest, dict]): + The request object. Request message for + [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]. + endpoint (str): + Required. The name of the Endpoint resource into which + to deploy a Model. Format: + ``projects/{project}/locations/{location}/endpoints/{endpoint}`` + + This corresponds to the ``endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + deployed_model (google.cloud.aiplatform_v1.types.DeployedModel): + Required. The DeployedModel to be created within the + Endpoint. Note that + [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] + must be updated for the DeployedModel to start receiving + traffic, either as part of this call, or via + [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint]. + + This corresponds to the ``deployed_model`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + traffic_split (MutableMapping[str, int]): + A map from a DeployedModel's ID to the percentage of + this Endpoint's traffic that should be forwarded to that + DeployedModel. + + If this field is non-empty, then the Endpoint's + [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] + will be overwritten with it. To refer to the ID of the + just being deployed Model, a "0" should be used, and the + actual ID of the new DeployedModel will be filled in its + place by this method. The traffic percentage values must + add up to 100. + + If this field is empty, then the Endpoint's + [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] + is not updated. + + This corresponds to the ``traffic_split`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.DeployModelResponse` Response message for + [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [endpoint, deployed_model, traffic_split] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, endpoint_service.DeployModelRequest): + request = endpoint_service.DeployModelRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if endpoint is not None: + request.endpoint = endpoint + if deployed_model is not None: + request.deployed_model = deployed_model + if traffic_split is not None: + request.traffic_split = traffic_split + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.deploy_model] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("endpoint", request.endpoint),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + endpoint_service.DeployModelResponse, + metadata_type=endpoint_service.DeployModelOperationMetadata, + ) + + # Done; return the response. + return response + + def undeploy_model( + self, + request: Optional[Union[endpoint_service.UndeployModelRequest, dict]] = None, + *, + endpoint: Optional[str] = None, + deployed_model_id: Optional[str] = None, + traffic_split: Optional[MutableMapping[str, int]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Undeploys a Model from an Endpoint, removing a + DeployedModel from it, and freeing all resources it's + using. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_undeploy_model(): + # Create a client + client = aiplatform_v1.EndpointServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.UndeployModelRequest( + endpoint="endpoint_value", + deployed_model_id="deployed_model_id_value", + ) + + # Make the request + operation = client.undeploy_model(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UndeployModelRequest, dict]): + The request object. Request message for + [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]. + endpoint (str): + Required. The name of the Endpoint resource from which + to undeploy a Model. Format: + ``projects/{project}/locations/{location}/endpoints/{endpoint}`` + + This corresponds to the ``endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + deployed_model_id (str): + Required. The ID of the DeployedModel + to be undeployed from the Endpoint. + + This corresponds to the ``deployed_model_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + traffic_split (MutableMapping[str, int]): + If this field is provided, then the Endpoint's + [traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split] + will be overwritten with it. If last DeployedModel is + being undeployed from the Endpoint, the + [Endpoint.traffic_split] will always end up empty when + this call returns. A DeployedModel will be successfully + undeployed only if it doesn't have any traffic assigned + to it when this method executes, or if this field + unassigns any traffic to it. + + This corresponds to the ``traffic_split`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.UndeployModelResponse` Response message for + [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [endpoint, deployed_model_id, traffic_split] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, endpoint_service.UndeployModelRequest): + request = endpoint_service.UndeployModelRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if endpoint is not None: + request.endpoint = endpoint + if deployed_model_id is not None: + request.deployed_model_id = deployed_model_id + if traffic_split is not None: + request.traffic_split = traffic_split + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.undeploy_model] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("endpoint", request.endpoint),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + endpoint_service.UndeployModelResponse, + metadata_type=endpoint_service.UndeployModelOperationMetadata, + ) + + # Done; return the response. + return response + + def mutate_deployed_model( + self, + request: Optional[ + Union[endpoint_service.MutateDeployedModelRequest, dict] + ] = None, + *, + endpoint: Optional[str] = None, + deployed_model: Optional[gca_endpoint.DeployedModel] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Updates an existing deployed model. Updatable fields include + ``min_replica_count``, ``max_replica_count``, + ``required_replica_count``, ``autoscaling_metric_specs``, + ``disable_container_logging`` (v1 only), and + ``enable_container_logging`` (v1beta1 only). + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_mutate_deployed_model(): + # Create a client + client = aiplatform_v1.EndpointServiceClient() + + # Initialize request argument(s) + deployed_model = aiplatform_v1.DeployedModel() + deployed_model.dedicated_resources.min_replica_count = 1803 + + request = aiplatform_v1.MutateDeployedModelRequest( + endpoint="endpoint_value", + deployed_model=deployed_model, + ) + + # Make the request + operation = client.mutate_deployed_model(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.MutateDeployedModelRequest, dict]): + The request object. Request message for + [EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel]. + endpoint (str): + Required. The name of the Endpoint resource into which + to mutate a DeployedModel. Format: + ``projects/{project}/locations/{location}/endpoints/{endpoint}`` + + This corresponds to the ``endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + deployed_model (google.cloud.aiplatform_v1.types.DeployedModel): + Required. The DeployedModel to be mutated within the + Endpoint. Only the following fields can be mutated: + + - ``min_replica_count`` in either + [DedicatedResources][google.cloud.aiplatform.v1.DedicatedResources] + or + [AutomaticResources][google.cloud.aiplatform.v1.AutomaticResources] + - ``max_replica_count`` in either + [DedicatedResources][google.cloud.aiplatform.v1.DedicatedResources] + or + [AutomaticResources][google.cloud.aiplatform.v1.AutomaticResources] + - ``required_replica_count`` in + [DedicatedResources][google.cloud.aiplatform.v1.DedicatedResources] + - [autoscaling_metric_specs][google.cloud.aiplatform.v1.DedicatedResources.autoscaling_metric_specs] + - ``disable_container_logging`` (v1 only) + - ``enable_container_logging`` (v1beta1 only) + + This corresponds to the ``deployed_model`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Required. The update mask applies to the resource. See + [google.protobuf.FieldMask][google.protobuf.FieldMask]. + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.MutateDeployedModelResponse` Response message for + [EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [endpoint, deployed_model, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, endpoint_service.MutateDeployedModelRequest): + request = endpoint_service.MutateDeployedModelRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if endpoint is not None: + request.endpoint = endpoint + if deployed_model is not None: + request.deployed_model = deployed_model + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.mutate_deployed_model] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("endpoint", request.endpoint),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + endpoint_service.MutateDeployedModelResponse, + metadata_type=endpoint_service.MutateDeployedModelOperationMetadata, + ) + + # Done; return the response. + return response + + def __enter__(self) -> "EndpointServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + +__all__ = ("EndpointServiceClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/endpoint_service/pagers.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/endpoint_service/pagers.py new file mode 100644 index 0000000000000000000000000000000000000000..4bd48bf3a7eeb4fd2de60751d652e8b6f5f1c997 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/endpoint_service/pagers.py @@ -0,0 +1,197 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import retry_async as retries_async +from typing import ( + Any, + AsyncIterator, + Awaitable, + Callable, + Sequence, + Tuple, + Optional, + Iterator, + Union, +) + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] + OptionalAsyncRetry = Union[ + retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None + ] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.types import endpoint +from google.cloud.aiplatform_v1.types import endpoint_service + + +class ListEndpointsPager: + """A pager for iterating through ``list_endpoints`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListEndpointsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``endpoints`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListEndpoints`` requests and continue to iterate + through the ``endpoints`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListEndpointsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., endpoint_service.ListEndpointsResponse], + request: endpoint_service.ListEndpointsRequest, + response: endpoint_service.ListEndpointsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListEndpointsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListEndpointsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = endpoint_service.ListEndpointsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[endpoint_service.ListEndpointsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[endpoint.Endpoint]: + for page in self.pages: + yield from page.endpoints + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListEndpointsAsyncPager: + """A pager for iterating through ``list_endpoints`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListEndpointsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``endpoints`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListEndpoints`` requests and continue to iterate + through the ``endpoints`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListEndpointsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[endpoint_service.ListEndpointsResponse]], + request: endpoint_service.ListEndpointsRequest, + response: endpoint_service.ListEndpointsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListEndpointsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListEndpointsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = endpoint_service.ListEndpointsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[endpoint_service.ListEndpointsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[endpoint.Endpoint]: + async def async_generator(): + async for page in self.pages: + for response in page.endpoints: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..f2bfe018defbe6da26f1be05dbcc9bc9e7333453 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import EvaluationServiceClient +from .async_client import EvaluationServiceAsyncClient + +__all__ = ( + "EvaluationServiceClient", + "EvaluationServiceAsyncClient", +) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/__pycache__/__init__.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/__pycache__/__init__.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..21974981f80b7b3a57cac9c4bd2b46c7417f2cb4 Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/__pycache__/__init__.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/__pycache__/async_client.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/__pycache__/async_client.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..ddcdffdfb8900d85289cefc36fa2a0bb87641179 Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/__pycache__/async_client.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/__pycache__/client.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/__pycache__/client.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..04a7534c84d29adf9fa01817cd1b3c7813c0be3f Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/__pycache__/client.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/async_client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/async_client.py new file mode 100644 index 0000000000000000000000000000000000000000..b814320cc09fc4161e01f7d21ed98b4592b5f9a3 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/async_client.py @@ -0,0 +1,1103 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging as std_logging +from collections import OrderedDict +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, +) + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.types import evaluation_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .transports.base import EvaluationServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import EvaluationServiceGrpcAsyncIOTransport +from .client import EvaluationServiceClient + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class EvaluationServiceAsyncClient: + """Vertex AI Online Evaluation Service.""" + + _client: EvaluationServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = EvaluationServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = EvaluationServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = EvaluationServiceClient._DEFAULT_ENDPOINT_TEMPLATE + _DEFAULT_UNIVERSE = EvaluationServiceClient._DEFAULT_UNIVERSE + + common_billing_account_path = staticmethod( + EvaluationServiceClient.common_billing_account_path + ) + parse_common_billing_account_path = staticmethod( + EvaluationServiceClient.parse_common_billing_account_path + ) + common_folder_path = staticmethod(EvaluationServiceClient.common_folder_path) + parse_common_folder_path = staticmethod( + EvaluationServiceClient.parse_common_folder_path + ) + common_organization_path = staticmethod( + EvaluationServiceClient.common_organization_path + ) + parse_common_organization_path = staticmethod( + EvaluationServiceClient.parse_common_organization_path + ) + common_project_path = staticmethod(EvaluationServiceClient.common_project_path) + parse_common_project_path = staticmethod( + EvaluationServiceClient.parse_common_project_path + ) + common_location_path = staticmethod(EvaluationServiceClient.common_location_path) + parse_common_location_path = staticmethod( + EvaluationServiceClient.parse_common_location_path + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + EvaluationServiceAsyncClient: The constructed client. + """ + sa_info_func = ( + EvaluationServiceClient.from_service_account_info.__func__ # type: ignore + ) + return sa_info_func(EvaluationServiceAsyncClient, info, *args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + EvaluationServiceAsyncClient: The constructed client. + """ + sa_file_func = ( + EvaluationServiceClient.from_service_account_file.__func__ # type: ignore + ) + return sa_file_func(EvaluationServiceAsyncClient, filename, *args, **kwargs) + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[ClientOptions] = None + ): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return EvaluationServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> EvaluationServiceTransport: + """Returns the transport used by the client instance. + + Returns: + EvaluationServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = EvaluationServiceClient.get_transport_class + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + EvaluationServiceTransport, + Callable[..., EvaluationServiceTransport], + ] + ] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the evaluation service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,EvaluationServiceTransport,Callable[..., EvaluationServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport to use. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the EvaluationServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = EvaluationServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.EvaluationServiceAsyncClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "universeDomain": getattr( + self._client._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._client._transport._credentials).__module__}.{type(self._client._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, "get_cred_info", lambda: None + )(), + } + if hasattr(self._client._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "credentialsType": None, + } + ), + ) + + async def evaluate_instances( + self, + request: Optional[ + Union[evaluation_service.EvaluateInstancesRequest, dict] + ] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> evaluation_service.EvaluateInstancesResponse: + r"""Evaluates instances based on a given metric. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_evaluate_instances(): + # Create a client + client = aiplatform_v1.EvaluationServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.EvaluateInstancesRequest( + location="location_value", + ) + + # Make the request + response = await client.evaluate_instances(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.EvaluateInstancesRequest, dict]]): + The request object. Request message for + EvaluationService.EvaluateInstances. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.EvaluateInstancesResponse: + Response message for + EvaluationService.EvaluateInstances. + + """ + # Create or coerce a protobuf request object. + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, evaluation_service.EvaluateInstancesRequest): + request = evaluation_service.EvaluateInstancesRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.evaluate_instances + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("location", request.location),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[ + self._client._transport.test_iam_permissions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self) -> "EvaluationServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +__all__ = ("EvaluationServiceAsyncClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/client.py new file mode 100644 index 0000000000000000000000000000000000000000..123704dbb7a29dcab82d702e2e4cbc76685f702f --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/client.py @@ -0,0 +1,1591 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from http import HTTPStatus +import json +import logging as std_logging +import os +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, + cast, +) +import warnings + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + +from google.cloud.aiplatform_v1.types import evaluation_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .transports.base import EvaluationServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import EvaluationServiceGrpcTransport +from .transports.grpc_asyncio import EvaluationServiceGrpcAsyncIOTransport +from .transports.rest import EvaluationServiceRestTransport + +try: + from .transports.rest_asyncio import AsyncEvaluationServiceRestTransport + + HAS_ASYNC_REST_DEPENDENCIES = True +except ImportError as e: # pragma: NO COVER + HAS_ASYNC_REST_DEPENDENCIES = False + ASYNC_REST_EXCEPTION = e + + +class EvaluationServiceClientMeta(type): + """Metaclass for the EvaluationService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + + _transport_registry = ( + OrderedDict() + ) # type: Dict[str, Type[EvaluationServiceTransport]] + _transport_registry["grpc"] = EvaluationServiceGrpcTransport + _transport_registry["grpc_asyncio"] = EvaluationServiceGrpcAsyncIOTransport + _transport_registry["rest"] = EvaluationServiceRestTransport + if HAS_ASYNC_REST_DEPENDENCIES: # pragma: NO COVER + _transport_registry["rest_asyncio"] = AsyncEvaluationServiceRestTransport + + def get_transport_class( + cls, + label: Optional[str] = None, + ) -> Type[EvaluationServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if ( + label == "rest_asyncio" and not HAS_ASYNC_REST_DEPENDENCIES + ): # pragma: NO COVER + raise ASYNC_REST_EXCEPTION + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class EvaluationServiceClient(metaclass=EvaluationServiceClientMeta): + """Vertex AI Online Evaluation Service.""" + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "aiplatform.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @staticmethod + def _use_client_cert_effective(): + """Returns whether client certificate should be used for mTLS if the + google-auth version supports should_use_client_cert automatic mTLS enablement. + + Alternatively, read from the GOOGLE_API_USE_CLIENT_CERTIFICATE env var. + + Returns: + bool: whether client certificate should be used for mTLS + Raises: + ValueError: (If using a version of google-auth without should_use_client_cert and + GOOGLE_API_USE_CLIENT_CERTIFICATE is set to an unexpected value.) + """ + # check if google-auth version supports should_use_client_cert for automatic mTLS enablement + if hasattr(mtls, "should_use_client_cert"): # pragma: NO COVER + return mtls.should_use_client_cert() + else: # pragma: NO COVER + # if unsupported, fallback to reading from env var + use_client_cert_str = os.getenv( + "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false" + ).lower() + if use_client_cert_str not in ("true", "false"): + raise ValueError( + "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be" + " either `true` or `false`" + ) + return use_client_cert_str == "true" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + EvaluationServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + EvaluationServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file(filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> EvaluationServiceTransport: + """Returns the transport used by the client instance. + + Returns: + EvaluationServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def common_billing_account_path( + billing_account: str, + ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format( + billing_account=billing_account, + ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str, str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path( + folder: str, + ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format( + folder=folder, + ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str, str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path( + organization: str, + ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format( + organization=organization, + ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str, str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path( + project: str, + ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format( + project=project, + ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str, str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path( + project: str, + location: str, + ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format( + project=project, + location=location, + ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str, str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[client_options_lib.ClientOptions] = None + ): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn( + "get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning, + ) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = EvaluationServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert: + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = EvaluationServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + return use_client_cert, use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint( + api_override, client_cert_source, universe_domain, use_mtls_endpoint + ): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + _default_universe = EvaluationServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError( + f"mTLS is not supported in any universe other than {_default_universe}." + ) + api_endpoint = EvaluationServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = EvaluationServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format( + UNIVERSE_DOMAIN=universe_domain + ) + return api_endpoint + + @staticmethod + def _get_universe_domain( + client_universe_domain: Optional[str], universe_domain_env: Optional[str] + ) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = EvaluationServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + + # NOTE (b/349488459): universe validation is disabled until further notice. + return True + + def _add_cred_info_for_auth_errors( + self, error: core_exceptions.GoogleAPICallError + ) -> None: + """Adds credential info string to error details for 401/403/404 errors. + + Args: + error (google.api_core.exceptions.GoogleAPICallError): The error to add the cred info. + """ + if error.code not in [ + HTTPStatus.UNAUTHORIZED, + HTTPStatus.FORBIDDEN, + HTTPStatus.NOT_FOUND, + ]: + return + + cred = self._transport._credentials + + # get_cred_info is only available in google-auth>=2.35.0 + if not hasattr(cred, "get_cred_info"): + return + + # ignore the type check since pypy test fails when get_cred_info + # is not available + cred_info = cred.get_cred_info() # type: ignore + if cred_info and hasattr(error._details, "append"): + error._details.append(json.dumps(cred_info)) + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + EvaluationServiceTransport, + Callable[..., EvaluationServiceTransport], + ] + ] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the evaluation service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,EvaluationServiceTransport,Callable[..., EvaluationServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the EvaluationServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast( + client_options_lib.ClientOptions, self._client_options + ) + + universe_domain_opt = getattr(self._client_options, "universe_domain", None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = ( + EvaluationServiceClient._read_environment_variables() + ) + self._client_cert_source = EvaluationServiceClient._get_client_cert_source( + self._client_options.client_cert_source, self._use_client_cert + ) + self._universe_domain = EvaluationServiceClient._get_universe_domain( + universe_domain_opt, self._universe_domain_env + ) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + if CLIENT_LOGGING_SUPPORTED: # pragma: NO COVER + # Setup logging. + client_logging.initialize_logging() + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError( + "client_options.api_key and credentials are mutually exclusive" + ) + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance(transport, EvaluationServiceTransport) + if transport_provided: + # transport is a EvaluationServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError( + "When providing a transport instance, " + "provide its credentials directly." + ) + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(EvaluationServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = ( + self._api_endpoint + or EvaluationServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint, + ) + ) + + if not transport_provided: + transport_init: Union[ + Type[EvaluationServiceTransport], + Callable[..., EvaluationServiceTransport], + ] = ( + EvaluationServiceClient.get_transport_class(transport) + if isinstance(transport, str) or transport is None + else cast(Callable[..., EvaluationServiceTransport], transport) + ) + + if "rest_asyncio" in str(transport_init): + unsupported_params = { + "google.api_core.client_options.ClientOptions.credentials_file": self._client_options.credentials_file, + "google.api_core.client_options.ClientOptions.scopes": self._client_options.scopes, + "google.api_core.client_options.ClientOptions.quota_project_id": self._client_options.quota_project_id, + "google.api_core.client_options.ClientOptions.client_cert_source": self._client_options.client_cert_source, + "google.api_core.client_options.ClientOptions.api_audience": self._client_options.api_audience, + } + provided_unsupported_params = [ + name + for name, value in unsupported_params.items() + if value is not None + ] + if provided_unsupported_params: + raise core_exceptions.AsyncRestUnsupportedParameterError( # type: ignore + f"The following provided parameters are not supported for `transport=rest_asyncio`: {', '.join(provided_unsupported_params)}" + ) + self._transport = transport_init( + credentials=credentials, + host=self._api_endpoint, + client_info=client_info, + ) + return + + import google.auth._default # type: ignore + + if api_key_value and hasattr( + google.auth._default, "get_api_key_credentials" + ): + credentials = google.auth._default.get_api_key_credentials( + api_key_value + ) + + # initialize with the provided callable or the passed in class + self._transport = transport_init( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + if "async" not in str(self._transport): + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.EvaluationServiceClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "universeDomain": getattr( + self._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._transport._credentials).__module__}.{type(self._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, + "get_cred_info", + lambda: None, + )(), + } + if hasattr(self._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "credentialsType": None, + } + ), + ) + + def evaluate_instances( + self, + request: Optional[ + Union[evaluation_service.EvaluateInstancesRequest, dict] + ] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> evaluation_service.EvaluateInstancesResponse: + r"""Evaluates instances based on a given metric. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_evaluate_instances(): + # Create a client + client = aiplatform_v1.EvaluationServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.EvaluateInstancesRequest( + location="location_value", + ) + + # Make the request + response = client.evaluate_instances(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.EvaluateInstancesRequest, dict]): + The request object. Request message for + EvaluationService.EvaluateInstances. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.EvaluateInstancesResponse: + Response message for + EvaluationService.EvaluateInstances. + + """ + # Create or coerce a protobuf request object. + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, evaluation_service.EvaluateInstancesRequest): + request = evaluation_service.EvaluateInstancesRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.evaluate_instances] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("location", request.location),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def __enter__(self) -> "EvaluationServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + +__all__ = ("EvaluationServiceClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/transports/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/transports/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..65d8722e2727714239c79d346cdb76f13b8055e7 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/transports/__init__.py @@ -0,0 +1,54 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from typing import Dict, Type, Tuple + +from .base import EvaluationServiceTransport +from .grpc import EvaluationServiceGrpcTransport +from .grpc_asyncio import EvaluationServiceGrpcAsyncIOTransport +from .rest import EvaluationServiceRestTransport +from .rest import EvaluationServiceRestInterceptor + +ASYNC_REST_CLASSES: Tuple[str, ...] +try: + from .rest_asyncio import AsyncEvaluationServiceRestTransport + from .rest_asyncio import AsyncEvaluationServiceRestInterceptor + + ASYNC_REST_CLASSES = ( + "AsyncEvaluationServiceRestTransport", + "AsyncEvaluationServiceRestInterceptor", + ) + HAS_REST_ASYNC = True +except ImportError: # pragma: NO COVER + ASYNC_REST_CLASSES = () + HAS_REST_ASYNC = False + + +# Compile a registry of transports. +_transport_registry = OrderedDict() # type: Dict[str, Type[EvaluationServiceTransport]] +_transport_registry["grpc"] = EvaluationServiceGrpcTransport +_transport_registry["grpc_asyncio"] = EvaluationServiceGrpcAsyncIOTransport +_transport_registry["rest"] = EvaluationServiceRestTransport +if HAS_REST_ASYNC: # pragma: NO COVER + _transport_registry["rest_asyncio"] = AsyncEvaluationServiceRestTransport + +__all__ = ( + "EvaluationServiceTransport", + "EvaluationServiceGrpcTransport", + "EvaluationServiceGrpcAsyncIOTransport", + "EvaluationServiceRestTransport", + "EvaluationServiceRestInterceptor", +) + ASYNC_REST_CLASSES diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/transports/__pycache__/__init__.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/transports/__pycache__/__init__.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..79649663bb7a2b3e2c6afde9956962fd31b46472 Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/transports/__pycache__/__init__.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/transports/__pycache__/base.cpython-311.pyc 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b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/transports/base.py new file mode 100644 index 0000000000000000000000000000000000000000..ea412bc6f7a7eb9ec63838253721433d81cd411d --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/transports/base.py @@ -0,0 +1,326 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import abc +from typing import Awaitable, Callable, Dict, Optional, Sequence, Union + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +import google.auth # type: ignore +import google.api_core +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +from google.cloud.aiplatform_v1.types import evaluation_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +class EvaluationServiceTransport(abc.ABC): + """Abstract transport class for EvaluationService.""" + + AUTH_SCOPES = ("https://www.googleapis.com/auth/cloud-platform",) + + DEFAULT_HOST: str = "aiplatform.googleapis.com" + + def __init__( + self, + *, + host: str = DEFAULT_HOST, + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + **kwargs, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. This argument will be + removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A list of scopes. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + """ + + # Save the scopes. + self._scopes = scopes + if not hasattr(self, "_ignore_credentials"): + self._ignore_credentials: bool = False + + # If no credentials are provided, then determine the appropriate + # defaults. + if credentials and credentials_file: + raise core_exceptions.DuplicateCredentialArgs( + "'credentials_file' and 'credentials' are mutually exclusive" + ) + + if credentials_file is not None: + credentials, _ = google.auth.load_credentials_from_file( + credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + default_scopes=self.AUTH_SCOPES, + ) + elif credentials is None and not self._ignore_credentials: + credentials, _ = google.auth.default( + scopes=scopes, + quota_project_id=quota_project_id, + default_scopes=self.AUTH_SCOPES, + ) + # Don't apply audience if the credentials file passed from user. + if hasattr(credentials, "with_gdch_audience"): + credentials = credentials.with_gdch_audience( + api_audience if api_audience else host + ) + + # If the credentials are service account credentials, then always try to use self signed JWT. + if ( + always_use_jwt_access + and isinstance(credentials, service_account.Credentials) + and hasattr(service_account.Credentials, "with_always_use_jwt_access") + ): + credentials = credentials.with_always_use_jwt_access(True) + + # Save the credentials. + self._credentials = credentials + + # Save the hostname. Default to port 443 (HTTPS) if none is specified. + if ":" not in host: + host += ":443" + self._host = host + + @property + def host(self): + return self._host + + def _prep_wrapped_messages(self, client_info): + # Precompute the wrapped methods. + self._wrapped_methods = { + self.evaluate_instances: gapic_v1.method.wrap_method( + self.evaluate_instances, + default_timeout=None, + client_info=client_info, + ), + self.get_location: gapic_v1.method.wrap_method( + self.get_location, + default_timeout=None, + client_info=client_info, + ), + self.list_locations: gapic_v1.method.wrap_method( + self.list_locations, + default_timeout=None, + client_info=client_info, + ), + self.get_iam_policy: gapic_v1.method.wrap_method( + self.get_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.set_iam_policy: gapic_v1.method.wrap_method( + self.set_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.test_iam_permissions: gapic_v1.method.wrap_method( + self.test_iam_permissions, + default_timeout=None, + client_info=client_info, + ), + self.cancel_operation: gapic_v1.method.wrap_method( + self.cancel_operation, + default_timeout=None, + client_info=client_info, + ), + self.delete_operation: gapic_v1.method.wrap_method( + self.delete_operation, + default_timeout=None, + client_info=client_info, + ), + self.get_operation: gapic_v1.method.wrap_method( + self.get_operation, + default_timeout=None, + client_info=client_info, + ), + self.list_operations: gapic_v1.method.wrap_method( + self.list_operations, + default_timeout=None, + client_info=client_info, + ), + self.wait_operation: gapic_v1.method.wrap_method( + self.wait_operation, + default_timeout=None, + client_info=client_info, + ), + } + + def close(self): + """Closes resources associated with the transport. + + .. warning:: + Only call this method if the transport is NOT shared + with other clients - this may cause errors in other clients! + """ + raise NotImplementedError() + + @property + def evaluate_instances( + self, + ) -> Callable[ + [evaluation_service.EvaluateInstancesRequest], + Union[ + evaluation_service.EvaluateInstancesResponse, + Awaitable[evaluation_service.EvaluateInstancesResponse], + ], + ]: + raise NotImplementedError() + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], + Union[ + operations_pb2.ListOperationsResponse, + Awaitable[operations_pb2.ListOperationsResponse], + ], + ]: + raise NotImplementedError() + + @property + def get_operation( + self, + ) -> Callable[ + [operations_pb2.GetOperationRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def cancel_operation( + self, + ) -> Callable[ + [operations_pb2.CancelOperationRequest], + None, + ]: + raise NotImplementedError() + + @property + def delete_operation( + self, + ) -> Callable[ + [operations_pb2.DeleteOperationRequest], + None, + ]: + raise NotImplementedError() + + @property + def wait_operation( + self, + ) -> Callable[ + [operations_pb2.WaitOperationRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def set_iam_policy( + self, + ) -> Callable[ + [iam_policy_pb2.SetIamPolicyRequest], + Union[policy_pb2.Policy, Awaitable[policy_pb2.Policy]], + ]: + raise NotImplementedError() + + @property + def get_iam_policy( + self, + ) -> Callable[ + [iam_policy_pb2.GetIamPolicyRequest], + Union[policy_pb2.Policy, Awaitable[policy_pb2.Policy]], + ]: + raise NotImplementedError() + + @property + def test_iam_permissions( + self, + ) -> Callable[ + [iam_policy_pb2.TestIamPermissionsRequest], + Union[ + iam_policy_pb2.TestIamPermissionsResponse, + Awaitable[iam_policy_pb2.TestIamPermissionsResponse], + ], + ]: + raise NotImplementedError() + + @property + def get_location( + self, + ) -> Callable[ + [locations_pb2.GetLocationRequest], + Union[locations_pb2.Location, Awaitable[locations_pb2.Location]], + ]: + raise NotImplementedError() + + @property + def list_locations( + self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], + Union[ + locations_pb2.ListLocationsResponse, + Awaitable[locations_pb2.ListLocationsResponse], + ], + ]: + raise NotImplementedError() + + @property + def kind(self) -> str: + raise NotImplementedError() + + +__all__ = ("EvaluationServiceTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/transports/grpc.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/transports/grpc.py new file mode 100644 index 0000000000000000000000000000000000000000..d21fd97cf01756ba523381a2623ff21626d2c9d9 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/transports/grpc.py @@ -0,0 +1,569 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import json +import logging as std_logging +import pickle +import warnings +from typing import Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import grpc_helpers +from google.api_core import gapic_v1 +import google.auth # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.protobuf.json_format import MessageToJson +import google.protobuf.message + +import grpc # type: ignore +import proto # type: ignore + +from google.cloud.aiplatform_v1.types import evaluation_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .base import EvaluationServiceTransport, DEFAULT_CLIENT_INFO + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class _LoggingClientInterceptor(grpc.UnaryUnaryClientInterceptor): # pragma: NO COVER + def intercept_unary_unary(self, continuation, client_call_details, request): + logging_enabled = CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ) + if logging_enabled: # pragma: NO COVER + request_metadata = client_call_details.metadata + if isinstance(request, proto.Message): + request_payload = type(request).to_json(request) + elif isinstance(request, google.protobuf.message.Message): + request_payload = MessageToJson(request) + else: + request_payload = f"{type(request).__name__}: {pickle.dumps(request)}" + + request_metadata = { + key: value.decode("utf-8") if isinstance(value, bytes) else value + for key, value in request_metadata + } + grpc_request = { + "payload": request_payload, + "requestMethod": "grpc", + "metadata": dict(request_metadata), + } + _LOGGER.debug( + f"Sending request for {client_call_details.method}", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": str(client_call_details.method), + "request": grpc_request, + "metadata": grpc_request["metadata"], + }, + ) + response = continuation(client_call_details, request) + if logging_enabled: # pragma: NO COVER + response_metadata = response.trailing_metadata() + # Convert gRPC metadata `` to list of tuples + metadata = ( + dict([(k, str(v)) for k, v in response_metadata]) + if response_metadata + else None + ) + result = response.result() + if isinstance(result, proto.Message): + response_payload = type(result).to_json(result) + elif isinstance(result, google.protobuf.message.Message): + response_payload = MessageToJson(result) + else: + response_payload = f"{type(result).__name__}: {pickle.dumps(result)}" + grpc_response = { + "payload": response_payload, + "metadata": metadata, + "status": "OK", + } + _LOGGER.debug( + f"Received response for {client_call_details.method}.", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": client_call_details.method, + "response": grpc_response, + "metadata": grpc_response["metadata"], + }, + ) + return response + + +class EvaluationServiceGrpcTransport(EvaluationServiceTransport): + """gRPC backend transport for EvaluationService. + + Vertex AI Online Evaluation Service. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + + _stubs: Dict[str, Callable] + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]] = None, + api_mtls_endpoint: Optional[str] = None, + client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if a ``channel`` instance is provided. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if a ``channel`` instance is provided. + This argument will be removed in the next major version of this library. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if a ``channel`` instance is provided. + channel (Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]]): + A ``Channel`` instance through which to make calls, or a Callable + that constructs and returns one. If set to None, ``self.create_channel`` + is used to create the channel. If a Callable is given, it will be called + with the same arguments as used in ``self.create_channel``. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if a ``channel`` instance is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if isinstance(channel, grpc.Channel): + # Ignore credentials if a channel was passed. + credentials = None + self._ignore_credentials = True + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + # initialize with the provided callable or the default channel + channel_init = channel or type(self).create_channel + self._grpc_channel = channel_init( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + self._interceptor = _LoggingClientInterceptor() + self._logged_channel = grpc.intercept_channel( + self._grpc_channel, self._interceptor + ) + + # Wrap messages. This must be done after self._logged_channel exists + self._prep_wrapped_messages(client_info) + + @classmethod + def create_channel( + cls, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs, + ) -> grpc.Channel: + """Create and return a gRPC channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. This argument will be + removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + grpc.Channel: A gRPC channel object. + + Raises: + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + + return grpc_helpers.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs, + ) + + @property + def grpc_channel(self) -> grpc.Channel: + """Return the channel designed to connect to this service.""" + return self._grpc_channel + + @property + def evaluate_instances( + self, + ) -> Callable[ + [evaluation_service.EvaluateInstancesRequest], + evaluation_service.EvaluateInstancesResponse, + ]: + r"""Return a callable for the evaluate instances method over gRPC. + + Evaluates instances based on a given metric. + + Returns: + Callable[[~.EvaluateInstancesRequest], + ~.EvaluateInstancesResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "evaluate_instances" not in self._stubs: + self._stubs["evaluate_instances"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.EvaluationService/EvaluateInstances", + request_serializer=evaluation_service.EvaluateInstancesRequest.serialize, + response_deserializer=evaluation_service.EvaluateInstancesResponse.deserialize, + ) + return self._stubs["evaluate_instances"] + + def close(self): + self._logged_channel.close() + + @property + def delete_operation( + self, + ) -> Callable[[operations_pb2.DeleteOperationRequest], None]: + r"""Return a callable for the delete_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_operation" not in self._stubs: + self._stubs["delete_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/DeleteOperation", + request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["delete_operation"] + + @property + def cancel_operation( + self, + ) -> Callable[[operations_pb2.CancelOperationRequest], None]: + r"""Return a callable for the cancel_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "cancel_operation" not in self._stubs: + self._stubs["cancel_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/CancelOperation", + request_serializer=operations_pb2.CancelOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["cancel_operation"] + + @property + def wait_operation( + self, + ) -> Callable[[operations_pb2.WaitOperationRequest], None]: + r"""Return a callable for the wait_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "wait_operation" not in self._stubs: + self._stubs["wait_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/WaitOperation", + request_serializer=operations_pb2.WaitOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["wait_operation"] + + @property + def get_operation( + self, + ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]: + r"""Return a callable for the get_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_operation" not in self._stubs: + self._stubs["get_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/GetOperation", + request_serializer=operations_pb2.GetOperationRequest.SerializeToString, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["get_operation"] + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse + ]: + r"""Return a callable for the list_operations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_operations" not in self._stubs: + self._stubs["list_operations"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/ListOperations", + request_serializer=operations_pb2.ListOperationsRequest.SerializeToString, + response_deserializer=operations_pb2.ListOperationsResponse.FromString, + ) + return self._stubs["list_operations"] + + @property + def list_locations( + self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse + ]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_locations" not in self._stubs: + self._stubs["list_locations"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/ListLocations", + request_serializer=locations_pb2.ListLocationsRequest.SerializeToString, + response_deserializer=locations_pb2.ListLocationsResponse.FromString, + ) + return self._stubs["list_locations"] + + @property + def get_location( + self, + ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_location" not in self._stubs: + self._stubs["get_location"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/GetLocation", + request_serializer=locations_pb2.GetLocationRequest.SerializeToString, + response_deserializer=locations_pb2.Location.FromString, + ) + return self._stubs["get_location"] + + @property + def set_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.SetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the set iam policy method over gRPC. + Sets the IAM access control policy on the specified + function. Replaces any existing policy. + Returns: + Callable[[~.SetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "set_iam_policy" not in self._stubs: + self._stubs["set_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/SetIamPolicy", + request_serializer=iam_policy_pb2.SetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["set_iam_policy"] + + @property + def get_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.GetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the get iam policy method over gRPC. + Gets the IAM access control policy for a function. + Returns an empty policy if the function exists and does + not have a policy set. + Returns: + Callable[[~.GetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_iam_policy" not in self._stubs: + self._stubs["get_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/GetIamPolicy", + request_serializer=iam_policy_pb2.GetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["get_iam_policy"] + + @property + def test_iam_permissions( + self, + ) -> Callable[ + [iam_policy_pb2.TestIamPermissionsRequest], + iam_policy_pb2.TestIamPermissionsResponse, + ]: + r"""Return a callable for the test iam permissions method over gRPC. + Tests the specified permissions against the IAM access control + policy for a function. If the function does not exist, this will + return an empty set of permissions, not a NOT_FOUND error. + Returns: + Callable[[~.TestIamPermissionsRequest], + ~.TestIamPermissionsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "test_iam_permissions" not in self._stubs: + self._stubs["test_iam_permissions"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/TestIamPermissions", + request_serializer=iam_policy_pb2.TestIamPermissionsRequest.SerializeToString, + response_deserializer=iam_policy_pb2.TestIamPermissionsResponse.FromString, + ) + return self._stubs["test_iam_permissions"] + + @property + def kind(self) -> str: + return "grpc" + + +__all__ = ("EvaluationServiceGrpcTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/transports/grpc_asyncio.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/transports/grpc_asyncio.py new file mode 100644 index 0000000000000000000000000000000000000000..95d538596cc7af0aea41646ed7674e23c1687367 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/transports/grpc_asyncio.py @@ -0,0 +1,642 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import inspect +import json +import pickle +import logging as std_logging +import warnings +from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import gapic_v1 +from google.api_core import grpc_helpers_async +from google.api_core import exceptions as core_exceptions +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.protobuf.json_format import MessageToJson +import google.protobuf.message + +import grpc # type: ignore +import proto # type: ignore +from grpc.experimental import aio # type: ignore + +from google.cloud.aiplatform_v1.types import evaluation_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .base import EvaluationServiceTransport, DEFAULT_CLIENT_INFO +from .grpc import EvaluationServiceGrpcTransport + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class _LoggingClientAIOInterceptor( + grpc.aio.UnaryUnaryClientInterceptor +): # pragma: NO COVER + async def intercept_unary_unary(self, continuation, client_call_details, request): + logging_enabled = CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ) + if logging_enabled: # pragma: NO COVER + request_metadata = client_call_details.metadata + if isinstance(request, proto.Message): + request_payload = type(request).to_json(request) + elif isinstance(request, google.protobuf.message.Message): + request_payload = MessageToJson(request) + else: + request_payload = f"{type(request).__name__}: {pickle.dumps(request)}" + + request_metadata = { + key: value.decode("utf-8") if isinstance(value, bytes) else value + for key, value in request_metadata + } + grpc_request = { + "payload": request_payload, + "requestMethod": "grpc", + "metadata": dict(request_metadata), + } + _LOGGER.debug( + f"Sending request for {client_call_details.method}", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": str(client_call_details.method), + "request": grpc_request, + "metadata": grpc_request["metadata"], + }, + ) + response = await continuation(client_call_details, request) + if logging_enabled: # pragma: NO COVER + response_metadata = await response.trailing_metadata() + # Convert gRPC metadata `` to list of tuples + metadata = ( + dict([(k, str(v)) for k, v in response_metadata]) + if response_metadata + else None + ) + result = await response + if isinstance(result, proto.Message): + response_payload = type(result).to_json(result) + elif isinstance(result, google.protobuf.message.Message): + response_payload = MessageToJson(result) + else: + response_payload = f"{type(result).__name__}: {pickle.dumps(result)}" + grpc_response = { + "payload": response_payload, + "metadata": metadata, + "status": "OK", + } + _LOGGER.debug( + f"Received response to rpc {client_call_details.method}.", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": str(client_call_details.method), + "response": grpc_response, + "metadata": grpc_response["metadata"], + }, + ) + return response + + +class EvaluationServiceGrpcAsyncIOTransport(EvaluationServiceTransport): + """gRPC AsyncIO backend transport for EvaluationService. + + Vertex AI Online Evaluation Service. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + + _grpc_channel: aio.Channel + _stubs: Dict[str, Callable] = {} + + @classmethod + def create_channel( + cls, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs, + ) -> aio.Channel: + """Create and return a gRPC AsyncIO channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. This argument will be + removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + aio.Channel: A gRPC AsyncIO channel object. + """ + + return grpc_helpers_async.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs, + ) + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: Optional[Union[aio.Channel, Callable[..., aio.Channel]]] = None, + api_mtls_endpoint: Optional[str] = None, + client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if a ``channel`` instance is provided. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if a ``channel`` instance is provided. + This argument will be removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + channel (Optional[Union[aio.Channel, Callable[..., aio.Channel]]]): + A ``Channel`` instance through which to make calls, or a Callable + that constructs and returns one. If set to None, ``self.create_channel`` + is used to create the channel. If a Callable is given, it will be called + with the same arguments as used in ``self.create_channel``. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if a ``channel`` instance is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if isinstance(channel, aio.Channel): + # Ignore credentials if a channel was passed. + credentials = None + self._ignore_credentials = True + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + # initialize with the provided callable or the default channel + channel_init = channel or type(self).create_channel + self._grpc_channel = channel_init( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + self._interceptor = _LoggingClientAIOInterceptor() + self._grpc_channel._unary_unary_interceptors.append(self._interceptor) + self._logged_channel = self._grpc_channel + self._wrap_with_kind = ( + "kind" in inspect.signature(gapic_v1.method_async.wrap_method).parameters + ) + # Wrap messages. This must be done after self._logged_channel exists + self._prep_wrapped_messages(client_info) + + @property + def grpc_channel(self) -> aio.Channel: + """Create the channel designed to connect to this service. + + This property caches on the instance; repeated calls return + the same channel. + """ + # Return the channel from cache. + return self._grpc_channel + + @property + def evaluate_instances( + self, + ) -> Callable[ + [evaluation_service.EvaluateInstancesRequest], + Awaitable[evaluation_service.EvaluateInstancesResponse], + ]: + r"""Return a callable for the evaluate instances method over gRPC. + + Evaluates instances based on a given metric. + + Returns: + Callable[[~.EvaluateInstancesRequest], + Awaitable[~.EvaluateInstancesResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "evaluate_instances" not in self._stubs: + self._stubs["evaluate_instances"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.EvaluationService/EvaluateInstances", + request_serializer=evaluation_service.EvaluateInstancesRequest.serialize, + response_deserializer=evaluation_service.EvaluateInstancesResponse.deserialize, + ) + return self._stubs["evaluate_instances"] + + def _prep_wrapped_messages(self, client_info): + """Precompute the wrapped methods, overriding the base class method to use async wrappers.""" + self._wrapped_methods = { + self.evaluate_instances: self._wrap_method( + self.evaluate_instances, + default_timeout=None, + client_info=client_info, + ), + self.get_location: self._wrap_method( + self.get_location, + default_timeout=None, + client_info=client_info, + ), + self.list_locations: self._wrap_method( + self.list_locations, + default_timeout=None, + client_info=client_info, + ), + self.get_iam_policy: self._wrap_method( + self.get_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.set_iam_policy: self._wrap_method( + self.set_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.test_iam_permissions: self._wrap_method( + self.test_iam_permissions, + default_timeout=None, + client_info=client_info, + ), + self.cancel_operation: self._wrap_method( + self.cancel_operation, + default_timeout=None, + client_info=client_info, + ), + self.delete_operation: self._wrap_method( + self.delete_operation, + default_timeout=None, + client_info=client_info, + ), + self.get_operation: self._wrap_method( + self.get_operation, + default_timeout=None, + client_info=client_info, + ), + self.list_operations: self._wrap_method( + self.list_operations, + default_timeout=None, + client_info=client_info, + ), + self.wait_operation: self._wrap_method( + self.wait_operation, + default_timeout=None, + client_info=client_info, + ), + } + + def _wrap_method(self, func, *args, **kwargs): + if self._wrap_with_kind: # pragma: NO COVER + kwargs["kind"] = self.kind + return gapic_v1.method_async.wrap_method(func, *args, **kwargs) + + def close(self): + return self._logged_channel.close() + + @property + def kind(self) -> str: + return "grpc_asyncio" + + @property + def delete_operation( + self, + ) -> Callable[[operations_pb2.DeleteOperationRequest], None]: + r"""Return a callable for the delete_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_operation" not in self._stubs: + self._stubs["delete_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/DeleteOperation", + request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["delete_operation"] + + @property + def cancel_operation( + self, + ) -> Callable[[operations_pb2.CancelOperationRequest], None]: + r"""Return a callable for the cancel_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "cancel_operation" not in self._stubs: + self._stubs["cancel_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/CancelOperation", + request_serializer=operations_pb2.CancelOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["cancel_operation"] + + @property + def wait_operation( + self, + ) -> Callable[[operations_pb2.WaitOperationRequest], None]: + r"""Return a callable for the wait_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "wait_operation" not in self._stubs: + self._stubs["wait_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/WaitOperation", + request_serializer=operations_pb2.WaitOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["wait_operation"] + + @property + def get_operation( + self, + ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]: + r"""Return a callable for the get_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_operation" not in self._stubs: + self._stubs["get_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/GetOperation", + request_serializer=operations_pb2.GetOperationRequest.SerializeToString, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["get_operation"] + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse + ]: + r"""Return a callable for the list_operations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_operations" not in self._stubs: + self._stubs["list_operations"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/ListOperations", + request_serializer=operations_pb2.ListOperationsRequest.SerializeToString, + response_deserializer=operations_pb2.ListOperationsResponse.FromString, + ) + return self._stubs["list_operations"] + + @property + def list_locations( + self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse + ]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_locations" not in self._stubs: + self._stubs["list_locations"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/ListLocations", + request_serializer=locations_pb2.ListLocationsRequest.SerializeToString, + response_deserializer=locations_pb2.ListLocationsResponse.FromString, + ) + return self._stubs["list_locations"] + + @property + def get_location( + self, + ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_location" not in self._stubs: + self._stubs["get_location"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/GetLocation", + request_serializer=locations_pb2.GetLocationRequest.SerializeToString, + response_deserializer=locations_pb2.Location.FromString, + ) + return self._stubs["get_location"] + + @property + def set_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.SetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the set iam policy method over gRPC. + Sets the IAM access control policy on the specified + function. Replaces any existing policy. + Returns: + Callable[[~.SetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "set_iam_policy" not in self._stubs: + self._stubs["set_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/SetIamPolicy", + request_serializer=iam_policy_pb2.SetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["set_iam_policy"] + + @property + def get_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.GetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the get iam policy method over gRPC. + Gets the IAM access control policy for a function. + Returns an empty policy if the function exists and does + not have a policy set. + Returns: + Callable[[~.GetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_iam_policy" not in self._stubs: + self._stubs["get_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/GetIamPolicy", + request_serializer=iam_policy_pb2.GetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["get_iam_policy"] + + @property + def test_iam_permissions( + self, + ) -> Callable[ + [iam_policy_pb2.TestIamPermissionsRequest], + iam_policy_pb2.TestIamPermissionsResponse, + ]: + r"""Return a callable for the test iam permissions method over gRPC. + Tests the specified permissions against the IAM access control + policy for a function. If the function does not exist, this will + return an empty set of permissions, not a NOT_FOUND error. + Returns: + Callable[[~.TestIamPermissionsRequest], + ~.TestIamPermissionsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "test_iam_permissions" not in self._stubs: + self._stubs["test_iam_permissions"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/TestIamPermissions", + request_serializer=iam_policy_pb2.TestIamPermissionsRequest.SerializeToString, + response_deserializer=iam_policy_pb2.TestIamPermissionsResponse.FromString, + ) + return self._stubs["test_iam_permissions"] + + +__all__ = ("EvaluationServiceGrpcAsyncIOTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/transports/rest.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/transports/rest.py new file mode 100644 index 0000000000000000000000000000000000000000..b45c38f24508b90b2026ef1c0a909bcaacbc9427 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/transports/rest.py @@ -0,0 +1,2032 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging +import json # type: ignore + +from google.auth.transport.requests import AuthorizedSession # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.api_core import exceptions as core_exceptions +from google.api_core import retry as retries +from google.api_core import rest_helpers +from google.api_core import rest_streaming +from google.api_core import gapic_v1 +import google.protobuf + +from google.protobuf import json_format +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore + +from requests import __version__ as requests_version +import dataclasses +from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union +import warnings + + +from google.cloud.aiplatform_v1.types import evaluation_service +from google.longrunning import operations_pb2 # type: ignore + + +from .rest_base import _BaseEvaluationServiceRestTransport +from .base import DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = logging.getLogger(__name__) + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version, + grpc_version=None, + rest_version=f"requests@{requests_version}", +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +class EvaluationServiceRestInterceptor: + """Interceptor for EvaluationService. + + Interceptors are used to manipulate requests, request metadata, and responses + in arbitrary ways. + Example use cases include: + * Logging + * Verifying requests according to service or custom semantics + * Stripping extraneous information from responses + + These use cases and more can be enabled by injecting an + instance of a custom subclass when constructing the EvaluationServiceRestTransport. + + .. code-block:: python + class MyCustomEvaluationServiceInterceptor(EvaluationServiceRestInterceptor): + def pre_evaluate_instances(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_evaluate_instances(self, response): + logging.log(f"Received response: {response}") + return response + + transport = EvaluationServiceRestTransport(interceptor=MyCustomEvaluationServiceInterceptor()) + client = EvaluationServiceClient(transport=transport) + + + """ + + def pre_evaluate_instances( + self, + request: evaluation_service.EvaluateInstancesRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + evaluation_service.EvaluateInstancesRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for evaluate_instances + + Override in a subclass to manipulate the request or metadata + before they are sent to the EvaluationService server. + """ + return request, metadata + + def post_evaluate_instances( + self, response: evaluation_service.EvaluateInstancesResponse + ) -> evaluation_service.EvaluateInstancesResponse: + """Post-rpc interceptor for evaluate_instances + + DEPRECATED. Please use the `post_evaluate_instances_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the EvaluationService server but before + it is returned to user code. This `post_evaluate_instances` interceptor runs + before the `post_evaluate_instances_with_metadata` interceptor. + """ + return response + + def post_evaluate_instances_with_metadata( + self, + response: evaluation_service.EvaluateInstancesResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + evaluation_service.EvaluateInstancesResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for evaluate_instances + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the EvaluationService server but before it is returned to user code. + + We recommend only using this `post_evaluate_instances_with_metadata` + interceptor in new development instead of the `post_evaluate_instances` interceptor. + When both interceptors are used, this `post_evaluate_instances_with_metadata` interceptor runs after the + `post_evaluate_instances` interceptor. The (possibly modified) response returned by + `post_evaluate_instances` will be passed to + `post_evaluate_instances_with_metadata`. + """ + return response, metadata + + def pre_get_location( + self, + request: locations_pb2.GetLocationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.GetLocationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_location + + Override in a subclass to manipulate the request or metadata + before they are sent to the EvaluationService server. + """ + return request, metadata + + def post_get_location( + self, response: locations_pb2.Location + ) -> locations_pb2.Location: + """Post-rpc interceptor for get_location + + Override in a subclass to manipulate the response + after it is returned by the EvaluationService server but before + it is returned to user code. + """ + return response + + def pre_list_locations( + self, + request: locations_pb2.ListLocationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.ListLocationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_locations + + Override in a subclass to manipulate the request or metadata + before they are sent to the EvaluationService server. + """ + return request, metadata + + def post_list_locations( + self, response: locations_pb2.ListLocationsResponse + ) -> locations_pb2.ListLocationsResponse: + """Post-rpc interceptor for list_locations + + Override in a subclass to manipulate the response + after it is returned by the EvaluationService server but before + it is returned to user code. + """ + return response + + def pre_get_iam_policy( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.GetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the EvaluationService server. + """ + return request, metadata + + def post_get_iam_policy(self, response: policy_pb2.Policy) -> policy_pb2.Policy: + """Post-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the EvaluationService server but before + it is returned to user code. + """ + return response + + def pre_set_iam_policy( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.SetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the EvaluationService server. + """ + return request, metadata + + def post_set_iam_policy(self, response: policy_pb2.Policy) -> policy_pb2.Policy: + """Post-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the EvaluationService server but before + it is returned to user code. + """ + return response + + def pre_test_iam_permissions( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.TestIamPermissionsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the request or metadata + before they are sent to the EvaluationService server. + """ + return request, metadata + + def post_test_iam_permissions( + self, response: iam_policy_pb2.TestIamPermissionsResponse + ) -> iam_policy_pb2.TestIamPermissionsResponse: + """Post-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the response + after it is returned by the EvaluationService server but before + it is returned to user code. + """ + return response + + def pre_cancel_operation( + self, + request: operations_pb2.CancelOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.CancelOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the EvaluationService server. + """ + return request, metadata + + def post_cancel_operation(self, response: None) -> None: + """Post-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the response + after it is returned by the EvaluationService server but before + it is returned to user code. + """ + return response + + def pre_delete_operation( + self, + request: operations_pb2.DeleteOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.DeleteOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for delete_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the EvaluationService server. + """ + return request, metadata + + def post_delete_operation(self, response: None) -> None: + """Post-rpc interceptor for delete_operation + + Override in a subclass to manipulate the response + after it is returned by the EvaluationService server but before + it is returned to user code. + """ + return response + + def pre_get_operation( + self, + request: operations_pb2.GetOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.GetOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the EvaluationService server. + """ + return request, metadata + + def post_get_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for get_operation + + Override in a subclass to manipulate the response + after it is returned by the EvaluationService server but before + it is returned to user code. + """ + return response + + def pre_list_operations( + self, + request: operations_pb2.ListOperationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.ListOperationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_operations + + Override in a subclass to manipulate the request or metadata + before they are sent to the EvaluationService server. + """ + return request, metadata + + def post_list_operations( + self, response: operations_pb2.ListOperationsResponse + ) -> operations_pb2.ListOperationsResponse: + """Post-rpc interceptor for list_operations + + Override in a subclass to manipulate the response + after it is returned by the EvaluationService server but before + it is returned to user code. + """ + return response + + def pre_wait_operation( + self, + request: operations_pb2.WaitOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.WaitOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for wait_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the EvaluationService server. + """ + return request, metadata + + def post_wait_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for wait_operation + + Override in a subclass to manipulate the response + after it is returned by the EvaluationService server but before + it is returned to user code. + """ + return response + + +@dataclasses.dataclass +class EvaluationServiceRestStub: + _session: AuthorizedSession + _host: str + _interceptor: EvaluationServiceRestInterceptor + + +class EvaluationServiceRestTransport(_BaseEvaluationServiceRestTransport): + """REST backend synchronous transport for EvaluationService. + + Vertex AI Online Evaluation Service. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + """ + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + url_scheme: str = "https", + interceptor: Optional[EvaluationServiceRestInterceptor] = None, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. This argument will be + removed in the next major version of this library. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if ``channel`` is provided. + client_cert_source_for_mtls (Callable[[], Tuple[bytes, bytes]]): Client + certificate to configure mutual TLS HTTP channel. It is ignored + if ``channel`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + url_scheme: the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + # TODO(yon-mg): resolve other ctor params i.e. scopes, quota, etc. + # TODO: When custom host (api_endpoint) is set, `scopes` must *also* be set on the + # credentials object + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + url_scheme=url_scheme, + api_audience=api_audience, + ) + self._session = AuthorizedSession( + self._credentials, default_host=self.DEFAULT_HOST + ) + if client_cert_source_for_mtls: + self._session.configure_mtls_channel(client_cert_source_for_mtls) + self._interceptor = interceptor or EvaluationServiceRestInterceptor() + self._prep_wrapped_messages(client_info) + + class _EvaluateInstances( + _BaseEvaluationServiceRestTransport._BaseEvaluateInstances, + EvaluationServiceRestStub, + ): + def __hash__(self): + return hash("EvaluationServiceRestTransport.EvaluateInstances") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: evaluation_service.EvaluateInstancesRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> evaluation_service.EvaluateInstancesResponse: + r"""Call the evaluate instances method over HTTP. + + Args: + request (~.evaluation_service.EvaluateInstancesRequest): + The request object. Request message for + EvaluationService.EvaluateInstances. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.evaluation_service.EvaluateInstancesResponse: + Response message for + EvaluationService.EvaluateInstances. + + """ + + http_options = ( + _BaseEvaluationServiceRestTransport._BaseEvaluateInstances._get_http_options() + ) + + request, metadata = self._interceptor.pre_evaluate_instances( + request, metadata + ) + transcoded_request = _BaseEvaluationServiceRestTransport._BaseEvaluateInstances._get_transcoded_request( + http_options, request + ) + + body = _BaseEvaluationServiceRestTransport._BaseEvaluateInstances._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseEvaluationServiceRestTransport._BaseEvaluateInstances._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.EvaluationServiceClient.EvaluateInstances", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "EvaluateInstances", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = EvaluationServiceRestTransport._EvaluateInstances._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = evaluation_service.EvaluateInstancesResponse() + pb_resp = evaluation_service.EvaluateInstancesResponse.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_evaluate_instances(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_evaluate_instances_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = ( + evaluation_service.EvaluateInstancesResponse.to_json(response) + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.EvaluationServiceClient.evaluate_instances", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "EvaluateInstances", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + @property + def evaluate_instances( + self, + ) -> Callable[ + [evaluation_service.EvaluateInstancesRequest], + evaluation_service.EvaluateInstancesResponse, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._EvaluateInstances(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_location(self): + return self._GetLocation(self._session, self._host, self._interceptor) # type: ignore + + class _GetLocation( + _BaseEvaluationServiceRestTransport._BaseGetLocation, EvaluationServiceRestStub + ): + def __hash__(self): + return hash("EvaluationServiceRestTransport.GetLocation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: locations_pb2.GetLocationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Call the get location method over HTTP. + + Args: + request (locations_pb2.GetLocationRequest): + The request object for GetLocation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.Location: Response from GetLocation method. + """ + + http_options = ( + _BaseEvaluationServiceRestTransport._BaseGetLocation._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_location(request, metadata) + transcoded_request = _BaseEvaluationServiceRestTransport._BaseGetLocation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseEvaluationServiceRestTransport._BaseGetLocation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.EvaluationServiceClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "GetLocation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = EvaluationServiceRestTransport._GetLocation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = locations_pb2.Location() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_get_location(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.EvaluationServiceAsyncClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "GetLocation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_locations(self): + return self._ListLocations(self._session, self._host, self._interceptor) # type: ignore + + class _ListLocations( + _BaseEvaluationServiceRestTransport._BaseListLocations, + EvaluationServiceRestStub, + ): + def __hash__(self): + return hash("EvaluationServiceRestTransport.ListLocations") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: locations_pb2.ListLocationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Call the list locations method over HTTP. + + Args: + request (locations_pb2.ListLocationsRequest): + The request object for ListLocations method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.ListLocationsResponse: Response from ListLocations method. + """ + + http_options = ( + _BaseEvaluationServiceRestTransport._BaseListLocations._get_http_options() + ) + + request, metadata = self._interceptor.pre_list_locations(request, metadata) + transcoded_request = _BaseEvaluationServiceRestTransport._BaseListLocations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseEvaluationServiceRestTransport._BaseListLocations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.EvaluationServiceClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "ListLocations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = EvaluationServiceRestTransport._ListLocations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = locations_pb2.ListLocationsResponse() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_list_locations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.EvaluationServiceAsyncClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "ListLocations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def get_iam_policy(self): + return self._GetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _GetIamPolicy( + _BaseEvaluationServiceRestTransport._BaseGetIamPolicy, EvaluationServiceRestStub + ): + def __hash__(self): + return hash("EvaluationServiceRestTransport.GetIamPolicy") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the get iam policy method over HTTP. + + Args: + request (iam_policy_pb2.GetIamPolicyRequest): + The request object for GetIamPolicy method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from GetIamPolicy method. + """ + + http_options = ( + _BaseEvaluationServiceRestTransport._BaseGetIamPolicy._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_iam_policy(request, metadata) + transcoded_request = _BaseEvaluationServiceRestTransport._BaseGetIamPolicy._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseEvaluationServiceRestTransport._BaseGetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.EvaluationServiceClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "GetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = EvaluationServiceRestTransport._GetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_get_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.EvaluationServiceAsyncClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "GetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def set_iam_policy(self): + return self._SetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _SetIamPolicy( + _BaseEvaluationServiceRestTransport._BaseSetIamPolicy, EvaluationServiceRestStub + ): + def __hash__(self): + return hash("EvaluationServiceRestTransport.SetIamPolicy") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the set iam policy method over HTTP. + + Args: + request (iam_policy_pb2.SetIamPolicyRequest): + The request object for SetIamPolicy method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from SetIamPolicy method. + """ + + http_options = ( + _BaseEvaluationServiceRestTransport._BaseSetIamPolicy._get_http_options() + ) + + request, metadata = self._interceptor.pre_set_iam_policy(request, metadata) + transcoded_request = _BaseEvaluationServiceRestTransport._BaseSetIamPolicy._get_transcoded_request( + http_options, request + ) + + body = _BaseEvaluationServiceRestTransport._BaseSetIamPolicy._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseEvaluationServiceRestTransport._BaseSetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.EvaluationServiceClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "SetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = EvaluationServiceRestTransport._SetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_set_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.EvaluationServiceAsyncClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "SetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def test_iam_permissions(self): + return self._TestIamPermissions(self._session, self._host, self._interceptor) # type: ignore + + class _TestIamPermissions( + _BaseEvaluationServiceRestTransport._BaseTestIamPermissions, + EvaluationServiceRestStub, + ): + def __hash__(self): + return hash("EvaluationServiceRestTransport.TestIamPermissions") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Call the test iam permissions method over HTTP. + + Args: + request (iam_policy_pb2.TestIamPermissionsRequest): + The request object for TestIamPermissions method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + iam_policy_pb2.TestIamPermissionsResponse: Response from TestIamPermissions method. + """ + + http_options = ( + _BaseEvaluationServiceRestTransport._BaseTestIamPermissions._get_http_options() + ) + + request, metadata = self._interceptor.pre_test_iam_permissions( + request, metadata + ) + transcoded_request = _BaseEvaluationServiceRestTransport._BaseTestIamPermissions._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseEvaluationServiceRestTransport._BaseTestIamPermissions._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.EvaluationServiceClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "TestIamPermissions", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = EvaluationServiceRestTransport._TestIamPermissions._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = iam_policy_pb2.TestIamPermissionsResponse() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_test_iam_permissions(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.EvaluationServiceAsyncClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "TestIamPermissions", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def cancel_operation(self): + return self._CancelOperation(self._session, self._host, self._interceptor) # type: ignore + + class _CancelOperation( + _BaseEvaluationServiceRestTransport._BaseCancelOperation, + EvaluationServiceRestStub, + ): + def __hash__(self): + return hash("EvaluationServiceRestTransport.CancelOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.CancelOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the cancel operation method over HTTP. + + Args: + request (operations_pb2.CancelOperationRequest): + The request object for CancelOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseEvaluationServiceRestTransport._BaseCancelOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_cancel_operation( + request, metadata + ) + transcoded_request = _BaseEvaluationServiceRestTransport._BaseCancelOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseEvaluationServiceRestTransport._BaseCancelOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.EvaluationServiceClient.CancelOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "CancelOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = EvaluationServiceRestTransport._CancelOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + return self._interceptor.post_cancel_operation(None) + + @property + def delete_operation(self): + return self._DeleteOperation(self._session, self._host, self._interceptor) # type: ignore + + class _DeleteOperation( + _BaseEvaluationServiceRestTransport._BaseDeleteOperation, + EvaluationServiceRestStub, + ): + def __hash__(self): + return hash("EvaluationServiceRestTransport.DeleteOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.DeleteOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the delete operation method over HTTP. + + Args: + request (operations_pb2.DeleteOperationRequest): + The request object for DeleteOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseEvaluationServiceRestTransport._BaseDeleteOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_delete_operation( + request, metadata + ) + transcoded_request = _BaseEvaluationServiceRestTransport._BaseDeleteOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseEvaluationServiceRestTransport._BaseDeleteOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.EvaluationServiceClient.DeleteOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "DeleteOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = EvaluationServiceRestTransport._DeleteOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + return self._interceptor.post_delete_operation(None) + + @property + def get_operation(self): + return self._GetOperation(self._session, self._host, self._interceptor) # type: ignore + + class _GetOperation( + _BaseEvaluationServiceRestTransport._BaseGetOperation, EvaluationServiceRestStub + ): + def __hash__(self): + return hash("EvaluationServiceRestTransport.GetOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.GetOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the get operation method over HTTP. + + Args: + request (operations_pb2.GetOperationRequest): + The request object for GetOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from GetOperation method. + """ + + http_options = ( + _BaseEvaluationServiceRestTransport._BaseGetOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_operation(request, metadata) + transcoded_request = _BaseEvaluationServiceRestTransport._BaseGetOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseEvaluationServiceRestTransport._BaseGetOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.EvaluationServiceClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "GetOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = EvaluationServiceRestTransport._GetOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_get_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.EvaluationServiceAsyncClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "GetOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_operations(self): + return self._ListOperations(self._session, self._host, self._interceptor) # type: ignore + + class _ListOperations( + _BaseEvaluationServiceRestTransport._BaseListOperations, + EvaluationServiceRestStub, + ): + def __hash__(self): + return hash("EvaluationServiceRestTransport.ListOperations") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.ListOperationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Call the list operations method over HTTP. + + Args: + request (operations_pb2.ListOperationsRequest): + The request object for ListOperations method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.ListOperationsResponse: Response from ListOperations method. + """ + + http_options = ( + _BaseEvaluationServiceRestTransport._BaseListOperations._get_http_options() + ) + + request, metadata = self._interceptor.pre_list_operations(request, metadata) + transcoded_request = _BaseEvaluationServiceRestTransport._BaseListOperations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseEvaluationServiceRestTransport._BaseListOperations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.EvaluationServiceClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "ListOperations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = EvaluationServiceRestTransport._ListOperations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = operations_pb2.ListOperationsResponse() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_list_operations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.EvaluationServiceAsyncClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "ListOperations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def wait_operation(self): + return self._WaitOperation(self._session, self._host, self._interceptor) # type: ignore + + class _WaitOperation( + _BaseEvaluationServiceRestTransport._BaseWaitOperation, + EvaluationServiceRestStub, + ): + def __hash__(self): + return hash("EvaluationServiceRestTransport.WaitOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.WaitOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the wait operation method over HTTP. + + Args: + request (operations_pb2.WaitOperationRequest): + The request object for WaitOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from WaitOperation method. + """ + + http_options = ( + _BaseEvaluationServiceRestTransport._BaseWaitOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_wait_operation(request, metadata) + transcoded_request = _BaseEvaluationServiceRestTransport._BaseWaitOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseEvaluationServiceRestTransport._BaseWaitOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.EvaluationServiceClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "WaitOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = EvaluationServiceRestTransport._WaitOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_wait_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.EvaluationServiceAsyncClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "WaitOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def kind(self) -> str: + return "rest" + + def close(self): + self._session.close() + + +__all__ = ("EvaluationServiceRestTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/transports/rest_asyncio.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/transports/rest_asyncio.py new file mode 100644 index 0000000000000000000000000000000000000000..5d2d4dbafa4b17e6721e6be9990af4ee2cd73fc2 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/transports/rest_asyncio.py @@ -0,0 +1,2184 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +import google.auth + +try: + import aiohttp # type: ignore + from google.auth.aio.transport.sessions import AsyncAuthorizedSession # type: ignore + from google.api_core import rest_streaming_async # type: ignore + from google.api_core.operations_v1 import AsyncOperationsRestClient # type: ignore +except ImportError as e: # pragma: NO COVER + raise ImportError( + "`rest_asyncio` transport requires the library to be installed with the `async_rest` extra. Install the library with the `async_rest` extra using `pip install google-cloud-aiplatform[async_rest]`" + ) from e + +from google.auth.aio import credentials as ga_credentials_async # type: ignore + +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore +from google.api_core import retry_async as retries +from google.api_core import rest_helpers +from google.api_core import rest_streaming_async # type: ignore +import google.protobuf + +from google.protobuf import json_format +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore + +import json # type: ignore +import dataclasses +from typing import Any, Dict, List, Callable, Tuple, Optional, Sequence, Union + + +from google.cloud.aiplatform_v1.types import evaluation_service +from google.longrunning import operations_pb2 # type: ignore + + +from .rest_base import _BaseEvaluationServiceRestTransport + +from .base import DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO + + +import logging + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = logging.getLogger(__name__) + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version, + grpc_version=None, + rest_version=f"google-auth@{google.auth.__version__}", +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +class AsyncEvaluationServiceRestInterceptor: + """Asynchronous Interceptor for EvaluationService. + + Interceptors are used to manipulate requests, request metadata, and responses + in arbitrary ways. + Example use cases include: + * Logging + * Verifying requests according to service or custom semantics + * Stripping extraneous information from responses + + These use cases and more can be enabled by injecting an + instance of a custom subclass when constructing the AsyncEvaluationServiceRestTransport. + + .. code-block:: python + class MyCustomEvaluationServiceInterceptor(EvaluationServiceRestInterceptor): + async def pre_evaluate_instances(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_evaluate_instances(self, response): + logging.log(f"Received response: {response}") + return response + + transport = AsyncEvaluationServiceRestTransport(interceptor=MyCustomEvaluationServiceInterceptor()) + client = async EvaluationServiceClient(transport=transport) + + + """ + + async def pre_evaluate_instances( + self, + request: evaluation_service.EvaluateInstancesRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + evaluation_service.EvaluateInstancesRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for evaluate_instances + + Override in a subclass to manipulate the request or metadata + before they are sent to the EvaluationService server. + """ + return request, metadata + + async def post_evaluate_instances( + self, response: evaluation_service.EvaluateInstancesResponse + ) -> evaluation_service.EvaluateInstancesResponse: + """Post-rpc interceptor for evaluate_instances + + DEPRECATED. Please use the `post_evaluate_instances_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the EvaluationService server but before + it is returned to user code. This `post_evaluate_instances` interceptor runs + before the `post_evaluate_instances_with_metadata` interceptor. + """ + return response + + async def post_evaluate_instances_with_metadata( + self, + response: evaluation_service.EvaluateInstancesResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + evaluation_service.EvaluateInstancesResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for evaluate_instances + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the EvaluationService server but before it is returned to user code. + + We recommend only using this `post_evaluate_instances_with_metadata` + interceptor in new development instead of the `post_evaluate_instances` interceptor. + When both interceptors are used, this `post_evaluate_instances_with_metadata` interceptor runs after the + `post_evaluate_instances` interceptor. The (possibly modified) response returned by + `post_evaluate_instances` will be passed to + `post_evaluate_instances_with_metadata`. + """ + return response, metadata + + async def pre_get_location( + self, + request: locations_pb2.GetLocationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.GetLocationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_location + + Override in a subclass to manipulate the request or metadata + before they are sent to the EvaluationService server. + """ + return request, metadata + + async def post_get_location( + self, response: locations_pb2.Location + ) -> locations_pb2.Location: + """Post-rpc interceptor for get_location + + Override in a subclass to manipulate the response + after it is returned by the EvaluationService server but before + it is returned to user code. + """ + return response + + async def pre_list_locations( + self, + request: locations_pb2.ListLocationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.ListLocationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_locations + + Override in a subclass to manipulate the request or metadata + before they are sent to the EvaluationService server. + """ + return request, metadata + + async def post_list_locations( + self, response: locations_pb2.ListLocationsResponse + ) -> locations_pb2.ListLocationsResponse: + """Post-rpc interceptor for list_locations + + Override in a subclass to manipulate the response + after it is returned by the EvaluationService server but before + it is returned to user code. + """ + return response + + async def pre_get_iam_policy( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.GetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the EvaluationService server. + """ + return request, metadata + + async def post_get_iam_policy( + self, response: policy_pb2.Policy + ) -> policy_pb2.Policy: + """Post-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the EvaluationService server but before + it is returned to user code. + """ + return response + + async def pre_set_iam_policy( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.SetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the EvaluationService server. + """ + return request, metadata + + async def post_set_iam_policy( + self, response: policy_pb2.Policy + ) -> policy_pb2.Policy: + """Post-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the EvaluationService server but before + it is returned to user code. + """ + return response + + async def pre_test_iam_permissions( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.TestIamPermissionsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the request or metadata + before they are sent to the EvaluationService server. + """ + return request, metadata + + async def post_test_iam_permissions( + self, response: iam_policy_pb2.TestIamPermissionsResponse + ) -> iam_policy_pb2.TestIamPermissionsResponse: + """Post-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the response + after it is returned by the EvaluationService server but before + it is returned to user code. + """ + return response + + async def pre_cancel_operation( + self, + request: operations_pb2.CancelOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.CancelOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the EvaluationService server. + """ + return request, metadata + + async def post_cancel_operation(self, response: None) -> None: + """Post-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the response + after it is returned by the EvaluationService server but before + it is returned to user code. + """ + return response + + async def pre_delete_operation( + self, + request: operations_pb2.DeleteOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.DeleteOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for delete_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the EvaluationService server. + """ + return request, metadata + + async def post_delete_operation(self, response: None) -> None: + """Post-rpc interceptor for delete_operation + + Override in a subclass to manipulate the response + after it is returned by the EvaluationService server but before + it is returned to user code. + """ + return response + + async def pre_get_operation( + self, + request: operations_pb2.GetOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.GetOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the EvaluationService server. + """ + return request, metadata + + async def post_get_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for get_operation + + Override in a subclass to manipulate the response + after it is returned by the EvaluationService server but before + it is returned to user code. + """ + return response + + async def pre_list_operations( + self, + request: operations_pb2.ListOperationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.ListOperationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_operations + + Override in a subclass to manipulate the request or metadata + before they are sent to the EvaluationService server. + """ + return request, metadata + + async def post_list_operations( + self, response: operations_pb2.ListOperationsResponse + ) -> operations_pb2.ListOperationsResponse: + """Post-rpc interceptor for list_operations + + Override in a subclass to manipulate the response + after it is returned by the EvaluationService server but before + it is returned to user code. + """ + return response + + async def pre_wait_operation( + self, + request: operations_pb2.WaitOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.WaitOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for wait_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the EvaluationService server. + """ + return request, metadata + + async def post_wait_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for wait_operation + + Override in a subclass to manipulate the response + after it is returned by the EvaluationService server but before + it is returned to user code. + """ + return response + + +@dataclasses.dataclass +class AsyncEvaluationServiceRestStub: + _session: AsyncAuthorizedSession + _host: str + _interceptor: AsyncEvaluationServiceRestInterceptor + + +class AsyncEvaluationServiceRestTransport(_BaseEvaluationServiceRestTransport): + """Asynchronous REST backend transport for EvaluationService. + + Vertex AI Online Evaluation Service. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + """ + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials_async.Credentials] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + url_scheme: str = "https", + interceptor: Optional[AsyncEvaluationServiceRestInterceptor] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.aio.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + url_scheme (str): the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=False, + url_scheme=url_scheme, + api_audience=None, + ) + self._session = AsyncAuthorizedSession(self._credentials) # type: ignore + self._interceptor = interceptor or AsyncEvaluationServiceRestInterceptor() + self._wrap_with_kind = True + self._prep_wrapped_messages(client_info) + + def _prep_wrapped_messages(self, client_info): + """Precompute the wrapped methods, overriding the base class method to use async wrappers.""" + self._wrapped_methods = { + self.evaluate_instances: self._wrap_method( + self.evaluate_instances, + default_timeout=None, + client_info=client_info, + ), + self.get_location: self._wrap_method( + self.get_location, + default_timeout=None, + client_info=client_info, + ), + self.list_locations: self._wrap_method( + self.list_locations, + default_timeout=None, + client_info=client_info, + ), + self.get_iam_policy: self._wrap_method( + self.get_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.set_iam_policy: self._wrap_method( + self.set_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.test_iam_permissions: self._wrap_method( + self.test_iam_permissions, + default_timeout=None, + client_info=client_info, + ), + self.cancel_operation: self._wrap_method( + self.cancel_operation, + default_timeout=None, + client_info=client_info, + ), + self.delete_operation: self._wrap_method( + self.delete_operation, + default_timeout=None, + client_info=client_info, + ), + self.get_operation: self._wrap_method( + self.get_operation, + default_timeout=None, + client_info=client_info, + ), + self.list_operations: self._wrap_method( + self.list_operations, + default_timeout=None, + client_info=client_info, + ), + self.wait_operation: self._wrap_method( + self.wait_operation, + default_timeout=None, + client_info=client_info, + ), + } + + def _wrap_method(self, func, *args, **kwargs): + if self._wrap_with_kind: # pragma: NO COVER + kwargs["kind"] = self.kind + return gapic_v1.method_async.wrap_method(func, *args, **kwargs) + + class _EvaluateInstances( + _BaseEvaluationServiceRestTransport._BaseEvaluateInstances, + AsyncEvaluationServiceRestStub, + ): + def __hash__(self): + return hash("AsyncEvaluationServiceRestTransport.EvaluateInstances") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: evaluation_service.EvaluateInstancesRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> evaluation_service.EvaluateInstancesResponse: + r"""Call the evaluate instances method over HTTP. + + Args: + request (~.evaluation_service.EvaluateInstancesRequest): + The request object. Request message for + EvaluationService.EvaluateInstances. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.evaluation_service.EvaluateInstancesResponse: + Response message for + EvaluationService.EvaluateInstances. + + """ + + http_options = ( + _BaseEvaluationServiceRestTransport._BaseEvaluateInstances._get_http_options() + ) + + request, metadata = await self._interceptor.pre_evaluate_instances( + request, metadata + ) + transcoded_request = _BaseEvaluationServiceRestTransport._BaseEvaluateInstances._get_transcoded_request( + http_options, request + ) + + body = _BaseEvaluationServiceRestTransport._BaseEvaluateInstances._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseEvaluationServiceRestTransport._BaseEvaluateInstances._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.EvaluationServiceClient.EvaluateInstances", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "EvaluateInstances", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncEvaluationServiceRestTransport._EvaluateInstances._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = evaluation_service.EvaluateInstancesResponse() + pb_resp = evaluation_service.EvaluateInstancesResponse.pb(resp) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_evaluate_instances(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_evaluate_instances_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = ( + evaluation_service.EvaluateInstancesResponse.to_json(response) + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.EvaluationServiceAsyncClient.evaluate_instances", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "EvaluateInstances", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + @property + def evaluate_instances( + self, + ) -> Callable[ + [evaluation_service.EvaluateInstancesRequest], + evaluation_service.EvaluateInstancesResponse, + ]: + return self._EvaluateInstances(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_location(self): + return self._GetLocation(self._session, self._host, self._interceptor) # type: ignore + + class _GetLocation( + _BaseEvaluationServiceRestTransport._BaseGetLocation, + AsyncEvaluationServiceRestStub, + ): + def __hash__(self): + return hash("AsyncEvaluationServiceRestTransport.GetLocation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: locations_pb2.GetLocationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Call the get location method over HTTP. + + Args: + request (locations_pb2.GetLocationRequest): + The request object for GetLocation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.Location: Response from GetLocation method. + """ + + http_options = ( + _BaseEvaluationServiceRestTransport._BaseGetLocation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_location( + request, metadata + ) + transcoded_request = _BaseEvaluationServiceRestTransport._BaseGetLocation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseEvaluationServiceRestTransport._BaseGetLocation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.EvaluationServiceClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "GetLocation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncEvaluationServiceRestTransport._GetLocation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = locations_pb2.Location() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_get_location(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.EvaluationServiceAsyncClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "GetLocation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_locations(self): + return self._ListLocations(self._session, self._host, self._interceptor) # type: ignore + + class _ListLocations( + _BaseEvaluationServiceRestTransport._BaseListLocations, + AsyncEvaluationServiceRestStub, + ): + def __hash__(self): + return hash("AsyncEvaluationServiceRestTransport.ListLocations") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: locations_pb2.ListLocationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Call the list locations method over HTTP. + + Args: + request (locations_pb2.ListLocationsRequest): + The request object for ListLocations method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.ListLocationsResponse: Response from ListLocations method. + """ + + http_options = ( + _BaseEvaluationServiceRestTransport._BaseListLocations._get_http_options() + ) + + request, metadata = await self._interceptor.pre_list_locations( + request, metadata + ) + transcoded_request = _BaseEvaluationServiceRestTransport._BaseListLocations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseEvaluationServiceRestTransport._BaseListLocations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.EvaluationServiceClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "ListLocations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncEvaluationServiceRestTransport._ListLocations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = locations_pb2.ListLocationsResponse() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_list_locations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.EvaluationServiceAsyncClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "ListLocations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def get_iam_policy(self): + return self._GetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _GetIamPolicy( + _BaseEvaluationServiceRestTransport._BaseGetIamPolicy, + AsyncEvaluationServiceRestStub, + ): + def __hash__(self): + return hash("AsyncEvaluationServiceRestTransport.GetIamPolicy") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the get iam policy method over HTTP. + + Args: + request (iam_policy_pb2.GetIamPolicyRequest): + The request object for GetIamPolicy method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from GetIamPolicy method. + """ + + http_options = ( + _BaseEvaluationServiceRestTransport._BaseGetIamPolicy._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_iam_policy( + request, metadata + ) + transcoded_request = _BaseEvaluationServiceRestTransport._BaseGetIamPolicy._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseEvaluationServiceRestTransport._BaseGetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.EvaluationServiceClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "GetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncEvaluationServiceRestTransport._GetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_get_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.EvaluationServiceAsyncClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "GetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def set_iam_policy(self): + return self._SetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _SetIamPolicy( + _BaseEvaluationServiceRestTransport._BaseSetIamPolicy, + AsyncEvaluationServiceRestStub, + ): + def __hash__(self): + return hash("AsyncEvaluationServiceRestTransport.SetIamPolicy") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the set iam policy method over HTTP. + + Args: + request (iam_policy_pb2.SetIamPolicyRequest): + The request object for SetIamPolicy method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from SetIamPolicy method. + """ + + http_options = ( + _BaseEvaluationServiceRestTransport._BaseSetIamPolicy._get_http_options() + ) + + request, metadata = await self._interceptor.pre_set_iam_policy( + request, metadata + ) + transcoded_request = _BaseEvaluationServiceRestTransport._BaseSetIamPolicy._get_transcoded_request( + http_options, request + ) + + body = _BaseEvaluationServiceRestTransport._BaseSetIamPolicy._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseEvaluationServiceRestTransport._BaseSetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.EvaluationServiceClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "SetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncEvaluationServiceRestTransport._SetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_set_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.EvaluationServiceAsyncClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "SetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def test_iam_permissions(self): + return self._TestIamPermissions(self._session, self._host, self._interceptor) # type: ignore + + class _TestIamPermissions( + _BaseEvaluationServiceRestTransport._BaseTestIamPermissions, + AsyncEvaluationServiceRestStub, + ): + def __hash__(self): + return hash("AsyncEvaluationServiceRestTransport.TestIamPermissions") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Call the test iam permissions method over HTTP. + + Args: + request (iam_policy_pb2.TestIamPermissionsRequest): + The request object for TestIamPermissions method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + iam_policy_pb2.TestIamPermissionsResponse: Response from TestIamPermissions method. + """ + + http_options = ( + _BaseEvaluationServiceRestTransport._BaseTestIamPermissions._get_http_options() + ) + + request, metadata = await self._interceptor.pre_test_iam_permissions( + request, metadata + ) + transcoded_request = _BaseEvaluationServiceRestTransport._BaseTestIamPermissions._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseEvaluationServiceRestTransport._BaseTestIamPermissions._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.EvaluationServiceClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "TestIamPermissions", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncEvaluationServiceRestTransport._TestIamPermissions._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = iam_policy_pb2.TestIamPermissionsResponse() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_test_iam_permissions(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.EvaluationServiceAsyncClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "TestIamPermissions", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def cancel_operation(self): + return self._CancelOperation(self._session, self._host, self._interceptor) # type: ignore + + class _CancelOperation( + _BaseEvaluationServiceRestTransport._BaseCancelOperation, + AsyncEvaluationServiceRestStub, + ): + def __hash__(self): + return hash("AsyncEvaluationServiceRestTransport.CancelOperation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.CancelOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the cancel operation method over HTTP. + + Args: + request (operations_pb2.CancelOperationRequest): + The request object for CancelOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseEvaluationServiceRestTransport._BaseCancelOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_cancel_operation( + request, metadata + ) + transcoded_request = _BaseEvaluationServiceRestTransport._BaseCancelOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseEvaluationServiceRestTransport._BaseCancelOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.EvaluationServiceClient.CancelOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "CancelOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncEvaluationServiceRestTransport._CancelOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + return await self._interceptor.post_cancel_operation(None) + + @property + def delete_operation(self): + return self._DeleteOperation(self._session, self._host, self._interceptor) # type: ignore + + class _DeleteOperation( + _BaseEvaluationServiceRestTransport._BaseDeleteOperation, + AsyncEvaluationServiceRestStub, + ): + def __hash__(self): + return hash("AsyncEvaluationServiceRestTransport.DeleteOperation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.DeleteOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the delete operation method over HTTP. + + Args: + request (operations_pb2.DeleteOperationRequest): + The request object for DeleteOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseEvaluationServiceRestTransport._BaseDeleteOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_delete_operation( + request, metadata + ) + transcoded_request = _BaseEvaluationServiceRestTransport._BaseDeleteOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseEvaluationServiceRestTransport._BaseDeleteOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.EvaluationServiceClient.DeleteOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "DeleteOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncEvaluationServiceRestTransport._DeleteOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + return await self._interceptor.post_delete_operation(None) + + @property + def get_operation(self): + return self._GetOperation(self._session, self._host, self._interceptor) # type: ignore + + class _GetOperation( + _BaseEvaluationServiceRestTransport._BaseGetOperation, + AsyncEvaluationServiceRestStub, + ): + def __hash__(self): + return hash("AsyncEvaluationServiceRestTransport.GetOperation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.GetOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the get operation method over HTTP. + + Args: + request (operations_pb2.GetOperationRequest): + The request object for GetOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from GetOperation method. + """ + + http_options = ( + _BaseEvaluationServiceRestTransport._BaseGetOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_operation( + request, metadata + ) + transcoded_request = _BaseEvaluationServiceRestTransport._BaseGetOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseEvaluationServiceRestTransport._BaseGetOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.EvaluationServiceClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "GetOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncEvaluationServiceRestTransport._GetOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_get_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.EvaluationServiceAsyncClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "GetOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_operations(self): + return self._ListOperations(self._session, self._host, self._interceptor) # type: ignore + + class _ListOperations( + _BaseEvaluationServiceRestTransport._BaseListOperations, + AsyncEvaluationServiceRestStub, + ): + def __hash__(self): + return hash("AsyncEvaluationServiceRestTransport.ListOperations") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.ListOperationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Call the list operations method over HTTP. + + Args: + request (operations_pb2.ListOperationsRequest): + The request object for ListOperations method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.ListOperationsResponse: Response from ListOperations method. + """ + + http_options = ( + _BaseEvaluationServiceRestTransport._BaseListOperations._get_http_options() + ) + + request, metadata = await self._interceptor.pre_list_operations( + request, metadata + ) + transcoded_request = _BaseEvaluationServiceRestTransport._BaseListOperations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseEvaluationServiceRestTransport._BaseListOperations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.EvaluationServiceClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "ListOperations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncEvaluationServiceRestTransport._ListOperations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = operations_pb2.ListOperationsResponse() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_list_operations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.EvaluationServiceAsyncClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "ListOperations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def wait_operation(self): + return self._WaitOperation(self._session, self._host, self._interceptor) # type: ignore + + class _WaitOperation( + _BaseEvaluationServiceRestTransport._BaseWaitOperation, + AsyncEvaluationServiceRestStub, + ): + def __hash__(self): + return hash("AsyncEvaluationServiceRestTransport.WaitOperation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.WaitOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the wait operation method over HTTP. + + Args: + request (operations_pb2.WaitOperationRequest): + The request object for WaitOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from WaitOperation method. + """ + + http_options = ( + _BaseEvaluationServiceRestTransport._BaseWaitOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_wait_operation( + request, metadata + ) + transcoded_request = _BaseEvaluationServiceRestTransport._BaseWaitOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseEvaluationServiceRestTransport._BaseWaitOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.EvaluationServiceClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "WaitOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncEvaluationServiceRestTransport._WaitOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_wait_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.EvaluationServiceAsyncClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.EvaluationService", + "rpcName": "WaitOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def kind(self) -> str: + return "rest_asyncio" + + async def close(self): + await self._session.close() diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/transports/rest_base.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/transports/rest_base.py new file mode 100644 index 0000000000000000000000000000000000000000..82c168b089a8b30b0c8d33cb7dce1c576759478f --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/evaluation_service/transports/rest_base.py @@ -0,0 +1,2527 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import json # type: ignore +from google.api_core import path_template +from google.api_core import gapic_v1 + +from google.protobuf import json_format +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore +from .base import EvaluationServiceTransport, DEFAULT_CLIENT_INFO + +import re +from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union + + +from google.cloud.aiplatform_v1.types import evaluation_service +from google.longrunning import operations_pb2 # type: ignore + + +class _BaseEvaluationServiceRestTransport(EvaluationServiceTransport): + """Base REST backend transport for EvaluationService. + + Note: This class is not meant to be used directly. Use its sync and + async sub-classes instead. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + """ + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[Any] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + url_scheme: str = "https", + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[Any]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + url_scheme: the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + maybe_url_match = re.match("^(?Phttp(?:s)?://)?(?P.*)$", host) + if maybe_url_match is None: + raise ValueError( + f"Unexpected hostname structure: {host}" + ) # pragma: NO COVER + + url_match_items = maybe_url_match.groupdict() + + host = f"{url_scheme}://{host}" if not url_match_items["scheme"] else host + + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + class _BaseEvaluateInstances: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{location=projects/*/locations/*}:evaluateInstances", + "body": "*", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = evaluation_service.EvaluateInstancesRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request["body"], use_integers_for_enums=True + ) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseEvaluationServiceRestTransport._BaseEvaluateInstances._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseGetLocation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseListLocations: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*}/locations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*}/locations", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseGetIamPolicy: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/models/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/models/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/endpoints/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/publishers/*/models/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureGroups/*}:getIamPolicy", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseSetIamPolicy: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/models/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/models/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/endpoints/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureGroups/*}:setIamPolicy", + "body": "*", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + body = json.dumps(transcoded_request["body"]) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseTestIamPermissions: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/models/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/models/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/endpoints/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureGroups/*}:testIamPermissions", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseCancelOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseDeleteOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensions/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseGetOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseListOperations: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/agents/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/apps/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensions/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/schedules/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/schedules/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=reasoningEngines/*/sessions/*}/operations", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseWaitOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:wait", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + +__all__ = ("_BaseEvaluationServiceRestTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..73ae18693fcf097975b2ea449b742b6649289f12 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import FeatureOnlineStoreAdminServiceClient +from .async_client import FeatureOnlineStoreAdminServiceAsyncClient + +__all__ = ( + "FeatureOnlineStoreAdminServiceClient", + "FeatureOnlineStoreAdminServiceAsyncClient", +) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/__pycache__/__init__.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/__pycache__/__init__.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..5d3e9da062900330faca3641f9064e978005f453 Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/__pycache__/__init__.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/__pycache__/pagers.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/__pycache__/pagers.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..1f9d492616c3ce62c5177956902f46d8e8b5dc9a Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/__pycache__/pagers.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/async_client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/async_client.py new file mode 100644 index 0000000000000000000000000000000000000000..68b12022439782a3488e772675f129e381714234 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/async_client.py @@ -0,0 +1,2918 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging as std_logging +from collections import OrderedDict +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, +) + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.services.feature_online_store_admin_service import ( + pagers, +) +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import feature_online_store +from google.cloud.aiplatform_v1.types import ( + feature_online_store as gca_feature_online_store, +) +from google.cloud.aiplatform_v1.types import feature_online_store_admin_service +from google.cloud.aiplatform_v1.types import feature_view +from google.cloud.aiplatform_v1.types import feature_view as gca_feature_view +from google.cloud.aiplatform_v1.types import feature_view_sync +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +import google.rpc.status_pb2 as status_pb2 # type: ignore +import google.type.interval_pb2 as interval_pb2 # type: ignore +from .transports.base import ( + FeatureOnlineStoreAdminServiceTransport, + DEFAULT_CLIENT_INFO, +) +from .transports.grpc_asyncio import FeatureOnlineStoreAdminServiceGrpcAsyncIOTransport +from .client import FeatureOnlineStoreAdminServiceClient + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class FeatureOnlineStoreAdminServiceAsyncClient: + """The service that handles CRUD and List for resources for + FeatureOnlineStore. + """ + + _client: FeatureOnlineStoreAdminServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = FeatureOnlineStoreAdminServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = FeatureOnlineStoreAdminServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = ( + FeatureOnlineStoreAdminServiceClient._DEFAULT_ENDPOINT_TEMPLATE + ) + _DEFAULT_UNIVERSE = FeatureOnlineStoreAdminServiceClient._DEFAULT_UNIVERSE + + feature_online_store_path = staticmethod( + FeatureOnlineStoreAdminServiceClient.feature_online_store_path + ) + parse_feature_online_store_path = staticmethod( + FeatureOnlineStoreAdminServiceClient.parse_feature_online_store_path + ) + feature_view_path = staticmethod( + FeatureOnlineStoreAdminServiceClient.feature_view_path + ) + parse_feature_view_path = staticmethod( + FeatureOnlineStoreAdminServiceClient.parse_feature_view_path + ) + feature_view_sync_path = staticmethod( + FeatureOnlineStoreAdminServiceClient.feature_view_sync_path + ) + parse_feature_view_sync_path = staticmethod( + FeatureOnlineStoreAdminServiceClient.parse_feature_view_sync_path + ) + common_billing_account_path = staticmethod( + FeatureOnlineStoreAdminServiceClient.common_billing_account_path + ) + parse_common_billing_account_path = staticmethod( + FeatureOnlineStoreAdminServiceClient.parse_common_billing_account_path + ) + common_folder_path = staticmethod( + FeatureOnlineStoreAdminServiceClient.common_folder_path + ) + parse_common_folder_path = staticmethod( + FeatureOnlineStoreAdminServiceClient.parse_common_folder_path + ) + common_organization_path = staticmethod( + FeatureOnlineStoreAdminServiceClient.common_organization_path + ) + parse_common_organization_path = staticmethod( + FeatureOnlineStoreAdminServiceClient.parse_common_organization_path + ) + common_project_path = staticmethod( + FeatureOnlineStoreAdminServiceClient.common_project_path + ) + parse_common_project_path = staticmethod( + FeatureOnlineStoreAdminServiceClient.parse_common_project_path + ) + common_location_path = staticmethod( + FeatureOnlineStoreAdminServiceClient.common_location_path + ) + parse_common_location_path = staticmethod( + FeatureOnlineStoreAdminServiceClient.parse_common_location_path + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + FeatureOnlineStoreAdminServiceAsyncClient: The constructed client. + """ + sa_info_func = ( + FeatureOnlineStoreAdminServiceClient.from_service_account_info.__func__ # type: ignore + ) + return sa_info_func( + FeatureOnlineStoreAdminServiceAsyncClient, info, *args, **kwargs + ) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + FeatureOnlineStoreAdminServiceAsyncClient: The constructed client. + """ + sa_file_func = ( + FeatureOnlineStoreAdminServiceClient.from_service_account_file.__func__ # type: ignore + ) + return sa_file_func( + FeatureOnlineStoreAdminServiceAsyncClient, filename, *args, **kwargs + ) + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[ClientOptions] = None + ): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return FeatureOnlineStoreAdminServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> FeatureOnlineStoreAdminServiceTransport: + """Returns the transport used by the client instance. + + Returns: + FeatureOnlineStoreAdminServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = FeatureOnlineStoreAdminServiceClient.get_transport_class + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + FeatureOnlineStoreAdminServiceTransport, + Callable[..., FeatureOnlineStoreAdminServiceTransport], + ] + ] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the feature online store admin service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,FeatureOnlineStoreAdminServiceTransport,Callable[..., FeatureOnlineStoreAdminServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport to use. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the FeatureOnlineStoreAdminServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = FeatureOnlineStoreAdminServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "universeDomain": getattr( + self._client._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._client._transport._credentials).__module__}.{type(self._client._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, "get_cred_info", lambda: None + )(), + } + if hasattr(self._client._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "credentialsType": None, + } + ), + ) + + async def create_feature_online_store( + self, + request: Optional[ + Union[ + feature_online_store_admin_service.CreateFeatureOnlineStoreRequest, dict + ] + ] = None, + *, + parent: Optional[str] = None, + feature_online_store: Optional[ + gca_feature_online_store.FeatureOnlineStore + ] = None, + feature_online_store_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Creates a new FeatureOnlineStore in a given project + and location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_feature_online_store(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient() + + # Initialize request argument(s) + feature_online_store = aiplatform_v1.FeatureOnlineStore() + feature_online_store.bigtable.auto_scaling.min_node_count = 1489 + feature_online_store.bigtable.auto_scaling.max_node_count = 1491 + + request = aiplatform_v1.CreateFeatureOnlineStoreRequest( + parent="parent_value", + feature_online_store=feature_online_store, + feature_online_store_id="feature_online_store_id_value", + ) + + # Make the request + operation = client.create_feature_online_store(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateFeatureOnlineStoreRequest, dict]]): + The request object. Request message for + [FeatureOnlineStoreAdminService.CreateFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.CreateFeatureOnlineStore]. + parent (:class:`str`): + Required. The resource name of the Location to create + FeatureOnlineStores. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + feature_online_store (:class:`google.cloud.aiplatform_v1.types.FeatureOnlineStore`): + Required. The FeatureOnlineStore to + create. + + This corresponds to the ``feature_online_store`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + feature_online_store_id (:class:`str`): + Required. The ID to use for this FeatureOnlineStore, + which will become the final component of the + FeatureOnlineStore's resource name. + + This value may be up to 60 characters, and valid + characters are ``[a-z0-9_]``. The first character cannot + be a number. + + The value must be unique within the project and + location. + + This corresponds to the ``feature_online_store_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.FeatureOnlineStore` Vertex AI Feature Online Store provides a centralized repository for serving + ML features and embedding indexes at low latency. The + Feature Online Store is a top-level container. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, feature_online_store, feature_online_store_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_admin_service.CreateFeatureOnlineStoreRequest + ): + request = ( + feature_online_store_admin_service.CreateFeatureOnlineStoreRequest( + request + ) + ) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if feature_online_store is not None: + request.feature_online_store = feature_online_store + if feature_online_store_id is not None: + request.feature_online_store_id = feature_online_store_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_feature_online_store + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gca_feature_online_store.FeatureOnlineStore, + metadata_type=feature_online_store_admin_service.CreateFeatureOnlineStoreOperationMetadata, + ) + + # Done; return the response. + return response + + async def get_feature_online_store( + self, + request: Optional[ + Union[feature_online_store_admin_service.GetFeatureOnlineStoreRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_online_store.FeatureOnlineStore: + r"""Gets details of a single FeatureOnlineStore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_feature_online_store(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetFeatureOnlineStoreRequest( + name="name_value", + ) + + # Make the request + response = await client.get_feature_online_store(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetFeatureOnlineStoreRequest, dict]]): + The request object. Request message for + [FeatureOnlineStoreAdminService.GetFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.GetFeatureOnlineStore]. + name (:class:`str`): + Required. The name of the + FeatureOnlineStore resource. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.FeatureOnlineStore: + Vertex AI Feature Online Store + provides a centralized repository for + serving ML features and embedding + indexes at low latency. The Feature + Online Store is a top-level container. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_admin_service.GetFeatureOnlineStoreRequest + ): + request = feature_online_store_admin_service.GetFeatureOnlineStoreRequest( + request + ) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_feature_online_store + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_feature_online_stores( + self, + request: Optional[ + Union[ + feature_online_store_admin_service.ListFeatureOnlineStoresRequest, dict + ] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListFeatureOnlineStoresAsyncPager: + r"""Lists FeatureOnlineStores in a given project and + location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_feature_online_stores(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListFeatureOnlineStoresRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_feature_online_stores(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListFeatureOnlineStoresRequest, dict]]): + The request object. Request message for + [FeatureOnlineStoreAdminService.ListFeatureOnlineStores][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureOnlineStores]. + parent (:class:`str`): + Required. The resource name of the Location to list + FeatureOnlineStores. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.feature_online_store_admin_service.pagers.ListFeatureOnlineStoresAsyncPager: + Response message for + [FeatureOnlineStoreAdminService.ListFeatureOnlineStores][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureOnlineStores]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_admin_service.ListFeatureOnlineStoresRequest + ): + request = feature_online_store_admin_service.ListFeatureOnlineStoresRequest( + request + ) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_feature_online_stores + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListFeatureOnlineStoresAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def update_feature_online_store( + self, + request: Optional[ + Union[ + feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest, dict + ] + ] = None, + *, + feature_online_store: Optional[ + gca_feature_online_store.FeatureOnlineStore + ] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Updates the parameters of a single + FeatureOnlineStore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_update_feature_online_store(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient() + + # Initialize request argument(s) + feature_online_store = aiplatform_v1.FeatureOnlineStore() + feature_online_store.bigtable.auto_scaling.min_node_count = 1489 + feature_online_store.bigtable.auto_scaling.max_node_count = 1491 + + request = aiplatform_v1.UpdateFeatureOnlineStoreRequest( + feature_online_store=feature_online_store, + ) + + # Make the request + operation = client.update_feature_online_store(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UpdateFeatureOnlineStoreRequest, dict]]): + The request object. Request message for + [FeatureOnlineStoreAdminService.UpdateFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.UpdateFeatureOnlineStore]. + feature_online_store (:class:`google.cloud.aiplatform_v1.types.FeatureOnlineStore`): + Required. The FeatureOnlineStore's ``name`` field is + used to identify the FeatureOnlineStore to be updated. + Format: + ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}`` + + This corresponds to the ``feature_online_store`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Field mask is used to specify the fields to be + overwritten in the FeatureOnlineStore resource by the + update. The fields specified in the update_mask are + relative to the resource, not the full request. A field + will be overwritten if it is in the mask. If the user + does not provide a mask then only the non-empty fields + present in the request will be overwritten. Set the + update_mask to ``*`` to override all fields. + + Updatable fields: + + - ``labels`` + - ``description`` + - ``bigtable`` + - ``bigtable.auto_scaling`` + - ``bigtable.enable_multi_region_replica`` + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.FeatureOnlineStore` Vertex AI Feature Online Store provides a centralized repository for serving + ML features and embedding indexes at low latency. The + Feature Online Store is a top-level container. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [feature_online_store, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest + ): + request = ( + feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest( + request + ) + ) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if feature_online_store is not None: + request.feature_online_store = feature_online_store + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.update_feature_online_store + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("feature_online_store.name", request.feature_online_store.name),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gca_feature_online_store.FeatureOnlineStore, + metadata_type=feature_online_store_admin_service.UpdateFeatureOnlineStoreOperationMetadata, + ) + + # Done; return the response. + return response + + async def delete_feature_online_store( + self, + request: Optional[ + Union[ + feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest, dict + ] + ] = None, + *, + name: Optional[str] = None, + force: Optional[bool] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a single FeatureOnlineStore. The + FeatureOnlineStore must not contain any FeatureViews. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_feature_online_store(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteFeatureOnlineStoreRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_feature_online_store(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteFeatureOnlineStoreRequest, dict]]): + The request object. Request message for + [FeatureOnlineStoreAdminService.DeleteFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.DeleteFeatureOnlineStore]. + name (:class:`str`): + Required. The name of the FeatureOnlineStore to be + deleted. Format: + ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + force (:class:`bool`): + If set to true, any FeatureViews and + Features for this FeatureOnlineStore + will also be deleted. (Otherwise, the + request will only work if the + FeatureOnlineStore has no FeatureViews.) + + This corresponds to the ``force`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name, force] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest + ): + request = ( + feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest( + request + ) + ) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if force is not None: + request.force = force + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_feature_online_store + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def create_feature_view( + self, + request: Optional[ + Union[feature_online_store_admin_service.CreateFeatureViewRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + feature_view: Optional[gca_feature_view.FeatureView] = None, + feature_view_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Creates a new FeatureView in a given + FeatureOnlineStore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_feature_view(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient() + + # Initialize request argument(s) + feature_view = aiplatform_v1.FeatureView() + feature_view.big_query_source.uri = "uri_value" + feature_view.big_query_source.entity_id_columns = ['entity_id_columns_value1', 'entity_id_columns_value2'] + + request = aiplatform_v1.CreateFeatureViewRequest( + parent="parent_value", + feature_view=feature_view, + feature_view_id="feature_view_id_value", + ) + + # Make the request + operation = client.create_feature_view(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateFeatureViewRequest, dict]]): + The request object. Request message for + [FeatureOnlineStoreAdminService.CreateFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.CreateFeatureView]. + parent (:class:`str`): + Required. The resource name of the FeatureOnlineStore to + create FeatureViews. Format: + ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + feature_view (:class:`google.cloud.aiplatform_v1.types.FeatureView`): + Required. The FeatureView to create. + This corresponds to the ``feature_view`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + feature_view_id (:class:`str`): + Required. The ID to use for the FeatureView, which will + become the final component of the FeatureView's resource + name. + + This value may be up to 60 characters, and valid + characters are ``[a-z0-9_]``. The first character cannot + be a number. + + The value must be unique within a FeatureOnlineStore. + + This corresponds to the ``feature_view_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.FeatureView` FeatureView is representation of values that the FeatureOnlineStore will + serve based on its syncConfig. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, feature_view, feature_view_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_admin_service.CreateFeatureViewRequest + ): + request = feature_online_store_admin_service.CreateFeatureViewRequest( + request + ) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if feature_view is not None: + request.feature_view = feature_view + if feature_view_id is not None: + request.feature_view_id = feature_view_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_feature_view + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gca_feature_view.FeatureView, + metadata_type=feature_online_store_admin_service.CreateFeatureViewOperationMetadata, + ) + + # Done; return the response. + return response + + async def get_feature_view( + self, + request: Optional[ + Union[feature_online_store_admin_service.GetFeatureViewRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_view.FeatureView: + r"""Gets details of a single FeatureView. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_feature_view(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetFeatureViewRequest( + name="name_value", + ) + + # Make the request + response = await client.get_feature_view(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetFeatureViewRequest, dict]]): + The request object. Request message for + [FeatureOnlineStoreAdminService.GetFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.GetFeatureView]. + name (:class:`str`): + Required. The name of the FeatureView resource. Format: + ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.FeatureView: + FeatureView is representation of + values that the FeatureOnlineStore will + serve based on its syncConfig. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_admin_service.GetFeatureViewRequest + ): + request = feature_online_store_admin_service.GetFeatureViewRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_feature_view + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_feature_views( + self, + request: Optional[ + Union[feature_online_store_admin_service.ListFeatureViewsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListFeatureViewsAsyncPager: + r"""Lists FeatureViews in a given FeatureOnlineStore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_feature_views(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListFeatureViewsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_feature_views(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListFeatureViewsRequest, dict]]): + The request object. Request message for + [FeatureOnlineStoreAdminService.ListFeatureViews][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViews]. + parent (:class:`str`): + Required. The resource name of the FeatureOnlineStore to + list FeatureViews. Format: + ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.feature_online_store_admin_service.pagers.ListFeatureViewsAsyncPager: + Response message for + [FeatureOnlineStoreAdminService.ListFeatureViews][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViews]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_admin_service.ListFeatureViewsRequest + ): + request = feature_online_store_admin_service.ListFeatureViewsRequest( + request + ) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_feature_views + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListFeatureViewsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def update_feature_view( + self, + request: Optional[ + Union[feature_online_store_admin_service.UpdateFeatureViewRequest, dict] + ] = None, + *, + feature_view: Optional[gca_feature_view.FeatureView] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Updates the parameters of a single FeatureView. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_update_feature_view(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient() + + # Initialize request argument(s) + feature_view = aiplatform_v1.FeatureView() + feature_view.big_query_source.uri = "uri_value" + feature_view.big_query_source.entity_id_columns = ['entity_id_columns_value1', 'entity_id_columns_value2'] + + request = aiplatform_v1.UpdateFeatureViewRequest( + feature_view=feature_view, + ) + + # Make the request + operation = client.update_feature_view(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UpdateFeatureViewRequest, dict]]): + The request object. Request message for + [FeatureOnlineStoreAdminService.UpdateFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.UpdateFeatureView]. + feature_view (:class:`google.cloud.aiplatform_v1.types.FeatureView`): + Required. The FeatureView's ``name`` field is used to + identify the FeatureView to be updated. Format: + ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}`` + + This corresponds to the ``feature_view`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Field mask is used to specify the fields to be + overwritten in the FeatureView resource by the update. + The fields specified in the update_mask are relative to + the resource, not the full request. A field will be + overwritten if it is in the mask. If the user does not + provide a mask then only the non-empty fields present in + the request will be overwritten. Set the update_mask to + ``*`` to override all fields. + + Updatable fields: + + - ``labels`` + - ``service_agent_type`` + - ``big_query_source`` + - ``big_query_source.uri`` + - ``big_query_source.entity_id_columns`` + - ``feature_registry_source`` + - ``feature_registry_source.feature_groups`` + - ``sync_config`` + - ``sync_config.cron`` + - ``optimized_config.automatic_resources`` + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.FeatureView` FeatureView is representation of values that the FeatureOnlineStore will + serve based on its syncConfig. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [feature_view, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_admin_service.UpdateFeatureViewRequest + ): + request = feature_online_store_admin_service.UpdateFeatureViewRequest( + request + ) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if feature_view is not None: + request.feature_view = feature_view + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.update_feature_view + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("feature_view.name", request.feature_view.name),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gca_feature_view.FeatureView, + metadata_type=feature_online_store_admin_service.UpdateFeatureViewOperationMetadata, + ) + + # Done; return the response. + return response + + async def delete_feature_view( + self, + request: Optional[ + Union[feature_online_store_admin_service.DeleteFeatureViewRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a single FeatureView. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_feature_view(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteFeatureViewRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_feature_view(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteFeatureViewRequest, dict]]): + The request object. Request message for + [FeatureOnlineStoreAdminService.DeleteFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.DeleteFeatureView]. + name (:class:`str`): + Required. The name of the FeatureView to be deleted. + Format: + ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_admin_service.DeleteFeatureViewRequest + ): + request = feature_online_store_admin_service.DeleteFeatureViewRequest( + request + ) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_feature_view + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def sync_feature_view( + self, + request: Optional[ + Union[feature_online_store_admin_service.SyncFeatureViewRequest, dict] + ] = None, + *, + feature_view: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_online_store_admin_service.SyncFeatureViewResponse: + r"""Triggers on-demand sync for the FeatureView. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_sync_feature_view(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.SyncFeatureViewRequest( + feature_view="feature_view_value", + ) + + # Make the request + response = await client.sync_feature_view(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.SyncFeatureViewRequest, dict]]): + The request object. Request message for + [FeatureOnlineStoreAdminService.SyncFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.SyncFeatureView]. + feature_view (:class:`str`): + Required. Format: + ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}`` + + This corresponds to the ``feature_view`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.SyncFeatureViewResponse: + Response message for + [FeatureOnlineStoreAdminService.SyncFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.SyncFeatureView]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [feature_view] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_admin_service.SyncFeatureViewRequest + ): + request = feature_online_store_admin_service.SyncFeatureViewRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if feature_view is not None: + request.feature_view = feature_view + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.sync_feature_view + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("feature_view", request.feature_view),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_feature_view_sync( + self, + request: Optional[ + Union[feature_online_store_admin_service.GetFeatureViewSyncRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_view_sync.FeatureViewSync: + r"""Gets details of a single FeatureViewSync. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_feature_view_sync(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetFeatureViewSyncRequest( + name="name_value", + ) + + # Make the request + response = await client.get_feature_view_sync(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetFeatureViewSyncRequest, dict]]): + The request object. Request message for + [FeatureOnlineStoreAdminService.GetFeatureViewSync][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.GetFeatureViewSync]. + name (:class:`str`): + Required. The name of the FeatureViewSync resource. + Format: + ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}/featureViewSyncs/{feature_view_sync}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.FeatureViewSync: + FeatureViewSync is a representation + of sync operation which copies data from + data source to Feature View in Online + Store. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_admin_service.GetFeatureViewSyncRequest + ): + request = feature_online_store_admin_service.GetFeatureViewSyncRequest( + request + ) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_feature_view_sync + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_feature_view_syncs( + self, + request: Optional[ + Union[feature_online_store_admin_service.ListFeatureViewSyncsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListFeatureViewSyncsAsyncPager: + r"""Lists FeatureViewSyncs in a given FeatureView. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_feature_view_syncs(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListFeatureViewSyncsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_feature_view_syncs(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListFeatureViewSyncsRequest, dict]]): + The request object. Request message for + [FeatureOnlineStoreAdminService.ListFeatureViewSyncs][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViewSyncs]. + parent (:class:`str`): + Required. The resource name of the FeatureView to list + FeatureViewSyncs. Format: + ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.feature_online_store_admin_service.pagers.ListFeatureViewSyncsAsyncPager: + Response message for + [FeatureOnlineStoreAdminService.ListFeatureViewSyncs][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViewSyncs]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_admin_service.ListFeatureViewSyncsRequest + ): + request = feature_online_store_admin_service.ListFeatureViewSyncsRequest( + request + ) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_feature_view_syncs + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListFeatureViewSyncsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[ + self._client._transport.test_iam_permissions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self) -> "FeatureOnlineStoreAdminServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +__all__ = ("FeatureOnlineStoreAdminServiceAsyncClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/client.py new file mode 100644 index 0000000000000000000000000000000000000000..df47e201ba52d266aea181a1613d23c746fb07b2 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/client.py @@ -0,0 +1,3439 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from http import HTTPStatus +import json +import logging as std_logging +import os +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, + cast, +) +import warnings + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + +from google.cloud.aiplatform_v1.services.feature_online_store_admin_service import ( + pagers, +) +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import feature_online_store +from google.cloud.aiplatform_v1.types import ( + feature_online_store as gca_feature_online_store, +) +from google.cloud.aiplatform_v1.types import feature_online_store_admin_service +from google.cloud.aiplatform_v1.types import feature_view +from google.cloud.aiplatform_v1.types import feature_view as gca_feature_view +from google.cloud.aiplatform_v1.types import feature_view_sync +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +import google.rpc.status_pb2 as status_pb2 # type: ignore +import google.type.interval_pb2 as interval_pb2 # type: ignore +from .transports.base import ( + FeatureOnlineStoreAdminServiceTransport, + DEFAULT_CLIENT_INFO, +) +from .transports.grpc import FeatureOnlineStoreAdminServiceGrpcTransport +from .transports.grpc_asyncio import FeatureOnlineStoreAdminServiceGrpcAsyncIOTransport +from .transports.rest import FeatureOnlineStoreAdminServiceRestTransport + +try: + from .transports.rest_asyncio import ( + AsyncFeatureOnlineStoreAdminServiceRestTransport, + ) + + HAS_ASYNC_REST_DEPENDENCIES = True +except ImportError as e: # pragma: NO COVER + HAS_ASYNC_REST_DEPENDENCIES = False + ASYNC_REST_EXCEPTION = e + + +class FeatureOnlineStoreAdminServiceClientMeta(type): + """Metaclass for the FeatureOnlineStoreAdminService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + + _transport_registry = ( + OrderedDict() + ) # type: Dict[str, Type[FeatureOnlineStoreAdminServiceTransport]] + _transport_registry["grpc"] = FeatureOnlineStoreAdminServiceGrpcTransport + _transport_registry["grpc_asyncio"] = ( + FeatureOnlineStoreAdminServiceGrpcAsyncIOTransport + ) + _transport_registry["rest"] = FeatureOnlineStoreAdminServiceRestTransport + if HAS_ASYNC_REST_DEPENDENCIES: # pragma: NO COVER + _transport_registry["rest_asyncio"] = ( + AsyncFeatureOnlineStoreAdminServiceRestTransport + ) + + def get_transport_class( + cls, + label: Optional[str] = None, + ) -> Type[FeatureOnlineStoreAdminServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if ( + label == "rest_asyncio" and not HAS_ASYNC_REST_DEPENDENCIES + ): # pragma: NO COVER + raise ASYNC_REST_EXCEPTION + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class FeatureOnlineStoreAdminServiceClient( + metaclass=FeatureOnlineStoreAdminServiceClientMeta +): + """The service that handles CRUD and List for resources for + FeatureOnlineStore. + """ + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "aiplatform.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @staticmethod + def _use_client_cert_effective(): + """Returns whether client certificate should be used for mTLS if the + google-auth version supports should_use_client_cert automatic mTLS enablement. + + Alternatively, read from the GOOGLE_API_USE_CLIENT_CERTIFICATE env var. + + Returns: + bool: whether client certificate should be used for mTLS + Raises: + ValueError: (If using a version of google-auth without should_use_client_cert and + GOOGLE_API_USE_CLIENT_CERTIFICATE is set to an unexpected value.) + """ + # check if google-auth version supports should_use_client_cert for automatic mTLS enablement + if hasattr(mtls, "should_use_client_cert"): # pragma: NO COVER + return mtls.should_use_client_cert() + else: # pragma: NO COVER + # if unsupported, fallback to reading from env var + use_client_cert_str = os.getenv( + "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false" + ).lower() + if use_client_cert_str not in ("true", "false"): + raise ValueError( + "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be" + " either `true` or `false`" + ) + return use_client_cert_str == "true" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + FeatureOnlineStoreAdminServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + FeatureOnlineStoreAdminServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file(filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> FeatureOnlineStoreAdminServiceTransport: + """Returns the transport used by the client instance. + + Returns: + FeatureOnlineStoreAdminServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def feature_online_store_path( + project: str, + location: str, + feature_online_store: str, + ) -> str: + """Returns a fully-qualified feature_online_store string.""" + return "projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}".format( + project=project, + location=location, + feature_online_store=feature_online_store, + ) + + @staticmethod + def parse_feature_online_store_path(path: str) -> Dict[str, str]: + """Parses a feature_online_store path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/featureOnlineStores/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def feature_view_path( + project: str, + location: str, + feature_online_store: str, + feature_view: str, + ) -> str: + """Returns a fully-qualified feature_view string.""" + return "projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}".format( + project=project, + location=location, + feature_online_store=feature_online_store, + feature_view=feature_view, + ) + + @staticmethod + def parse_feature_view_path(path: str) -> Dict[str, str]: + """Parses a feature_view path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/featureOnlineStores/(?P.+?)/featureViews/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def feature_view_sync_path( + project: str, + location: str, + feature_online_store: str, + feature_view: str, + ) -> str: + """Returns a fully-qualified feature_view_sync string.""" + return "projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}/featureViewSyncs/feature_view_sync".format( + project=project, + location=location, + feature_online_store=feature_online_store, + feature_view=feature_view, + ) + + @staticmethod + def parse_feature_view_sync_path(path: str) -> Dict[str, str]: + """Parses a feature_view_sync path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/featureOnlineStores/(?P.+?)/featureViews/(?P.+?)/featureViewSyncs/feature_view_sync$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path( + billing_account: str, + ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format( + billing_account=billing_account, + ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str, str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path( + folder: str, + ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format( + folder=folder, + ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str, str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path( + organization: str, + ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format( + organization=organization, + ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str, str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path( + project: str, + ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format( + project=project, + ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str, str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path( + project: str, + location: str, + ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format( + project=project, + location=location, + ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str, str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[client_options_lib.ClientOptions] = None + ): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn( + "get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning, + ) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = ( + FeatureOnlineStoreAdminServiceClient._use_client_cert_effective() + ) + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert: + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = ( + FeatureOnlineStoreAdminServiceClient._use_client_cert_effective() + ) + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + return use_client_cert, use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint( + api_override, client_cert_source, universe_domain, use_mtls_endpoint + ): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + _default_universe = FeatureOnlineStoreAdminServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError( + f"mTLS is not supported in any universe other than {_default_universe}." + ) + api_endpoint = FeatureOnlineStoreAdminServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = ( + FeatureOnlineStoreAdminServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format( + UNIVERSE_DOMAIN=universe_domain + ) + ) + return api_endpoint + + @staticmethod + def _get_universe_domain( + client_universe_domain: Optional[str], universe_domain_env: Optional[str] + ) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = FeatureOnlineStoreAdminServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + + # NOTE (b/349488459): universe validation is disabled until further notice. + return True + + def _add_cred_info_for_auth_errors( + self, error: core_exceptions.GoogleAPICallError + ) -> None: + """Adds credential info string to error details for 401/403/404 errors. + + Args: + error (google.api_core.exceptions.GoogleAPICallError): The error to add the cred info. + """ + if error.code not in [ + HTTPStatus.UNAUTHORIZED, + HTTPStatus.FORBIDDEN, + HTTPStatus.NOT_FOUND, + ]: + return + + cred = self._transport._credentials + + # get_cred_info is only available in google-auth>=2.35.0 + if not hasattr(cred, "get_cred_info"): + return + + # ignore the type check since pypy test fails when get_cred_info + # is not available + cred_info = cred.get_cred_info() # type: ignore + if cred_info and hasattr(error._details, "append"): + error._details.append(json.dumps(cred_info)) + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + FeatureOnlineStoreAdminServiceTransport, + Callable[..., FeatureOnlineStoreAdminServiceTransport], + ] + ] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the feature online store admin service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,FeatureOnlineStoreAdminServiceTransport,Callable[..., FeatureOnlineStoreAdminServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the FeatureOnlineStoreAdminServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast( + client_options_lib.ClientOptions, self._client_options + ) + + universe_domain_opt = getattr(self._client_options, "universe_domain", None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = ( + FeatureOnlineStoreAdminServiceClient._read_environment_variables() + ) + self._client_cert_source = ( + FeatureOnlineStoreAdminServiceClient._get_client_cert_source( + self._client_options.client_cert_source, self._use_client_cert + ) + ) + self._universe_domain = ( + FeatureOnlineStoreAdminServiceClient._get_universe_domain( + universe_domain_opt, self._universe_domain_env + ) + ) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + if CLIENT_LOGGING_SUPPORTED: # pragma: NO COVER + # Setup logging. + client_logging.initialize_logging() + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError( + "client_options.api_key and credentials are mutually exclusive" + ) + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance( + transport, FeatureOnlineStoreAdminServiceTransport + ) + if transport_provided: + # transport is a FeatureOnlineStoreAdminServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError( + "When providing a transport instance, " + "provide its credentials directly." + ) + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(FeatureOnlineStoreAdminServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = ( + self._api_endpoint + or FeatureOnlineStoreAdminServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint, + ) + ) + + if not transport_provided: + transport_init: Union[ + Type[FeatureOnlineStoreAdminServiceTransport], + Callable[..., FeatureOnlineStoreAdminServiceTransport], + ] = ( + FeatureOnlineStoreAdminServiceClient.get_transport_class(transport) + if isinstance(transport, str) or transport is None + else cast( + Callable[..., FeatureOnlineStoreAdminServiceTransport], transport + ) + ) + + if "rest_asyncio" in str(transport_init): + unsupported_params = { + "google.api_core.client_options.ClientOptions.credentials_file": self._client_options.credentials_file, + "google.api_core.client_options.ClientOptions.scopes": self._client_options.scopes, + "google.api_core.client_options.ClientOptions.quota_project_id": self._client_options.quota_project_id, + "google.api_core.client_options.ClientOptions.client_cert_source": self._client_options.client_cert_source, + "google.api_core.client_options.ClientOptions.api_audience": self._client_options.api_audience, + } + provided_unsupported_params = [ + name + for name, value in unsupported_params.items() + if value is not None + ] + if provided_unsupported_params: + raise core_exceptions.AsyncRestUnsupportedParameterError( # type: ignore + f"The following provided parameters are not supported for `transport=rest_asyncio`: {', '.join(provided_unsupported_params)}" + ) + self._transport = transport_init( + credentials=credentials, + host=self._api_endpoint, + client_info=client_info, + ) + return + + import google.auth._default # type: ignore + + if api_key_value and hasattr( + google.auth._default, "get_api_key_credentials" + ): + credentials = google.auth._default.get_api_key_credentials( + api_key_value + ) + + # initialize with the provided callable or the passed in class + self._transport = transport_init( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + if "async" not in str(self._transport): + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "universeDomain": getattr( + self._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._transport._credentials).__module__}.{type(self._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, + "get_cred_info", + lambda: None, + )(), + } + if hasattr(self._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "credentialsType": None, + } + ), + ) + + def create_feature_online_store( + self, + request: Optional[ + Union[ + feature_online_store_admin_service.CreateFeatureOnlineStoreRequest, dict + ] + ] = None, + *, + parent: Optional[str] = None, + feature_online_store: Optional[ + gca_feature_online_store.FeatureOnlineStore + ] = None, + feature_online_store_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Creates a new FeatureOnlineStore in a given project + and location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_feature_online_store(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreAdminServiceClient() + + # Initialize request argument(s) + feature_online_store = aiplatform_v1.FeatureOnlineStore() + feature_online_store.bigtable.auto_scaling.min_node_count = 1489 + feature_online_store.bigtable.auto_scaling.max_node_count = 1491 + + request = aiplatform_v1.CreateFeatureOnlineStoreRequest( + parent="parent_value", + feature_online_store=feature_online_store, + feature_online_store_id="feature_online_store_id_value", + ) + + # Make the request + operation = client.create_feature_online_store(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateFeatureOnlineStoreRequest, dict]): + The request object. Request message for + [FeatureOnlineStoreAdminService.CreateFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.CreateFeatureOnlineStore]. + parent (str): + Required. The resource name of the Location to create + FeatureOnlineStores. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + feature_online_store (google.cloud.aiplatform_v1.types.FeatureOnlineStore): + Required. The FeatureOnlineStore to + create. + + This corresponds to the ``feature_online_store`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + feature_online_store_id (str): + Required. The ID to use for this FeatureOnlineStore, + which will become the final component of the + FeatureOnlineStore's resource name. + + This value may be up to 60 characters, and valid + characters are ``[a-z0-9_]``. The first character cannot + be a number. + + The value must be unique within the project and + location. + + This corresponds to the ``feature_online_store_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.FeatureOnlineStore` Vertex AI Feature Online Store provides a centralized repository for serving + ML features and embedding indexes at low latency. The + Feature Online Store is a top-level container. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, feature_online_store, feature_online_store_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_admin_service.CreateFeatureOnlineStoreRequest + ): + request = ( + feature_online_store_admin_service.CreateFeatureOnlineStoreRequest( + request + ) + ) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if feature_online_store is not None: + request.feature_online_store = feature_online_store + if feature_online_store_id is not None: + request.feature_online_store_id = feature_online_store_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.create_feature_online_store + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + gca_feature_online_store.FeatureOnlineStore, + metadata_type=feature_online_store_admin_service.CreateFeatureOnlineStoreOperationMetadata, + ) + + # Done; return the response. + return response + + def get_feature_online_store( + self, + request: Optional[ + Union[feature_online_store_admin_service.GetFeatureOnlineStoreRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_online_store.FeatureOnlineStore: + r"""Gets details of a single FeatureOnlineStore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_feature_online_store(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreAdminServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetFeatureOnlineStoreRequest( + name="name_value", + ) + + # Make the request + response = client.get_feature_online_store(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetFeatureOnlineStoreRequest, dict]): + The request object. Request message for + [FeatureOnlineStoreAdminService.GetFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.GetFeatureOnlineStore]. + name (str): + Required. The name of the + FeatureOnlineStore resource. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.FeatureOnlineStore: + Vertex AI Feature Online Store + provides a centralized repository for + serving ML features and embedding + indexes at low latency. The Feature + Online Store is a top-level container. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_admin_service.GetFeatureOnlineStoreRequest + ): + request = feature_online_store_admin_service.GetFeatureOnlineStoreRequest( + request + ) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_feature_online_store] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_feature_online_stores( + self, + request: Optional[ + Union[ + feature_online_store_admin_service.ListFeatureOnlineStoresRequest, dict + ] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListFeatureOnlineStoresPager: + r"""Lists FeatureOnlineStores in a given project and + location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_feature_online_stores(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreAdminServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListFeatureOnlineStoresRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_feature_online_stores(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListFeatureOnlineStoresRequest, dict]): + The request object. Request message for + [FeatureOnlineStoreAdminService.ListFeatureOnlineStores][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureOnlineStores]. + parent (str): + Required. The resource name of the Location to list + FeatureOnlineStores. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.feature_online_store_admin_service.pagers.ListFeatureOnlineStoresPager: + Response message for + [FeatureOnlineStoreAdminService.ListFeatureOnlineStores][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureOnlineStores]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_admin_service.ListFeatureOnlineStoresRequest + ): + request = feature_online_store_admin_service.ListFeatureOnlineStoresRequest( + request + ) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.list_feature_online_stores + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListFeatureOnlineStoresPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def update_feature_online_store( + self, + request: Optional[ + Union[ + feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest, dict + ] + ] = None, + *, + feature_online_store: Optional[ + gca_feature_online_store.FeatureOnlineStore + ] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Updates the parameters of a single + FeatureOnlineStore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_update_feature_online_store(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreAdminServiceClient() + + # Initialize request argument(s) + feature_online_store = aiplatform_v1.FeatureOnlineStore() + feature_online_store.bigtable.auto_scaling.min_node_count = 1489 + feature_online_store.bigtable.auto_scaling.max_node_count = 1491 + + request = aiplatform_v1.UpdateFeatureOnlineStoreRequest( + feature_online_store=feature_online_store, + ) + + # Make the request + operation = client.update_feature_online_store(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UpdateFeatureOnlineStoreRequest, dict]): + The request object. Request message for + [FeatureOnlineStoreAdminService.UpdateFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.UpdateFeatureOnlineStore]. + feature_online_store (google.cloud.aiplatform_v1.types.FeatureOnlineStore): + Required. The FeatureOnlineStore's ``name`` field is + used to identify the FeatureOnlineStore to be updated. + Format: + ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}`` + + This corresponds to the ``feature_online_store`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Field mask is used to specify the fields to be + overwritten in the FeatureOnlineStore resource by the + update. The fields specified in the update_mask are + relative to the resource, not the full request. A field + will be overwritten if it is in the mask. If the user + does not provide a mask then only the non-empty fields + present in the request will be overwritten. Set the + update_mask to ``*`` to override all fields. + + Updatable fields: + + - ``labels`` + - ``description`` + - ``bigtable`` + - ``bigtable.auto_scaling`` + - ``bigtable.enable_multi_region_replica`` + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.FeatureOnlineStore` Vertex AI Feature Online Store provides a centralized repository for serving + ML features and embedding indexes at low latency. The + Feature Online Store is a top-level container. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [feature_online_store, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest + ): + request = ( + feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest( + request + ) + ) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if feature_online_store is not None: + request.feature_online_store = feature_online_store + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.update_feature_online_store + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("feature_online_store.name", request.feature_online_store.name),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + gca_feature_online_store.FeatureOnlineStore, + metadata_type=feature_online_store_admin_service.UpdateFeatureOnlineStoreOperationMetadata, + ) + + # Done; return the response. + return response + + def delete_feature_online_store( + self, + request: Optional[ + Union[ + feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest, dict + ] + ] = None, + *, + name: Optional[str] = None, + force: Optional[bool] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes a single FeatureOnlineStore. The + FeatureOnlineStore must not contain any FeatureViews. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_feature_online_store(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreAdminServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteFeatureOnlineStoreRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_feature_online_store(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteFeatureOnlineStoreRequest, dict]): + The request object. Request message for + [FeatureOnlineStoreAdminService.DeleteFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.DeleteFeatureOnlineStore]. + name (str): + Required. The name of the FeatureOnlineStore to be + deleted. Format: + ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + force (bool): + If set to true, any FeatureViews and + Features for this FeatureOnlineStore + will also be deleted. (Otherwise, the + request will only work if the + FeatureOnlineStore has no FeatureViews.) + + This corresponds to the ``force`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name, force] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest + ): + request = ( + feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest( + request + ) + ) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if force is not None: + request.force = force + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.delete_feature_online_store + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def create_feature_view( + self, + request: Optional[ + Union[feature_online_store_admin_service.CreateFeatureViewRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + feature_view: Optional[gca_feature_view.FeatureView] = None, + feature_view_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Creates a new FeatureView in a given + FeatureOnlineStore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_feature_view(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreAdminServiceClient() + + # Initialize request argument(s) + feature_view = aiplatform_v1.FeatureView() + feature_view.big_query_source.uri = "uri_value" + feature_view.big_query_source.entity_id_columns = ['entity_id_columns_value1', 'entity_id_columns_value2'] + + request = aiplatform_v1.CreateFeatureViewRequest( + parent="parent_value", + feature_view=feature_view, + feature_view_id="feature_view_id_value", + ) + + # Make the request + operation = client.create_feature_view(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateFeatureViewRequest, dict]): + The request object. Request message for + [FeatureOnlineStoreAdminService.CreateFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.CreateFeatureView]. + parent (str): + Required. The resource name of the FeatureOnlineStore to + create FeatureViews. Format: + ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + feature_view (google.cloud.aiplatform_v1.types.FeatureView): + Required. The FeatureView to create. + This corresponds to the ``feature_view`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + feature_view_id (str): + Required. The ID to use for the FeatureView, which will + become the final component of the FeatureView's resource + name. + + This value may be up to 60 characters, and valid + characters are ``[a-z0-9_]``. The first character cannot + be a number. + + The value must be unique within a FeatureOnlineStore. + + This corresponds to the ``feature_view_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.FeatureView` FeatureView is representation of values that the FeatureOnlineStore will + serve based on its syncConfig. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, feature_view, feature_view_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_admin_service.CreateFeatureViewRequest + ): + request = feature_online_store_admin_service.CreateFeatureViewRequest( + request + ) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if feature_view is not None: + request.feature_view = feature_view + if feature_view_id is not None: + request.feature_view_id = feature_view_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_feature_view] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + gca_feature_view.FeatureView, + metadata_type=feature_online_store_admin_service.CreateFeatureViewOperationMetadata, + ) + + # Done; return the response. + return response + + def get_feature_view( + self, + request: Optional[ + Union[feature_online_store_admin_service.GetFeatureViewRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_view.FeatureView: + r"""Gets details of a single FeatureView. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_feature_view(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreAdminServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetFeatureViewRequest( + name="name_value", + ) + + # Make the request + response = client.get_feature_view(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetFeatureViewRequest, dict]): + The request object. Request message for + [FeatureOnlineStoreAdminService.GetFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.GetFeatureView]. + name (str): + Required. The name of the FeatureView resource. Format: + ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.FeatureView: + FeatureView is representation of + values that the FeatureOnlineStore will + serve based on its syncConfig. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_admin_service.GetFeatureViewRequest + ): + request = feature_online_store_admin_service.GetFeatureViewRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_feature_view] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_feature_views( + self, + request: Optional[ + Union[feature_online_store_admin_service.ListFeatureViewsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListFeatureViewsPager: + r"""Lists FeatureViews in a given FeatureOnlineStore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_feature_views(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreAdminServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListFeatureViewsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_feature_views(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListFeatureViewsRequest, dict]): + The request object. Request message for + [FeatureOnlineStoreAdminService.ListFeatureViews][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViews]. + parent (str): + Required. The resource name of the FeatureOnlineStore to + list FeatureViews. Format: + ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.feature_online_store_admin_service.pagers.ListFeatureViewsPager: + Response message for + [FeatureOnlineStoreAdminService.ListFeatureViews][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViews]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_admin_service.ListFeatureViewsRequest + ): + request = feature_online_store_admin_service.ListFeatureViewsRequest( + request + ) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_feature_views] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListFeatureViewsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def update_feature_view( + self, + request: Optional[ + Union[feature_online_store_admin_service.UpdateFeatureViewRequest, dict] + ] = None, + *, + feature_view: Optional[gca_feature_view.FeatureView] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Updates the parameters of a single FeatureView. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_update_feature_view(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreAdminServiceClient() + + # Initialize request argument(s) + feature_view = aiplatform_v1.FeatureView() + feature_view.big_query_source.uri = "uri_value" + feature_view.big_query_source.entity_id_columns = ['entity_id_columns_value1', 'entity_id_columns_value2'] + + request = aiplatform_v1.UpdateFeatureViewRequest( + feature_view=feature_view, + ) + + # Make the request + operation = client.update_feature_view(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UpdateFeatureViewRequest, dict]): + The request object. Request message for + [FeatureOnlineStoreAdminService.UpdateFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.UpdateFeatureView]. + feature_view (google.cloud.aiplatform_v1.types.FeatureView): + Required. The FeatureView's ``name`` field is used to + identify the FeatureView to be updated. Format: + ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}`` + + This corresponds to the ``feature_view`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Field mask is used to specify the fields to be + overwritten in the FeatureView resource by the update. + The fields specified in the update_mask are relative to + the resource, not the full request. A field will be + overwritten if it is in the mask. If the user does not + provide a mask then only the non-empty fields present in + the request will be overwritten. Set the update_mask to + ``*`` to override all fields. + + Updatable fields: + + - ``labels`` + - ``service_agent_type`` + - ``big_query_source`` + - ``big_query_source.uri`` + - ``big_query_source.entity_id_columns`` + - ``feature_registry_source`` + - ``feature_registry_source.feature_groups`` + - ``sync_config`` + - ``sync_config.cron`` + - ``optimized_config.automatic_resources`` + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.FeatureView` FeatureView is representation of values that the FeatureOnlineStore will + serve based on its syncConfig. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [feature_view, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_admin_service.UpdateFeatureViewRequest + ): + request = feature_online_store_admin_service.UpdateFeatureViewRequest( + request + ) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if feature_view is not None: + request.feature_view = feature_view + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.update_feature_view] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("feature_view.name", request.feature_view.name),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + gca_feature_view.FeatureView, + metadata_type=feature_online_store_admin_service.UpdateFeatureViewOperationMetadata, + ) + + # Done; return the response. + return response + + def delete_feature_view( + self, + request: Optional[ + Union[feature_online_store_admin_service.DeleteFeatureViewRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes a single FeatureView. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_feature_view(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreAdminServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteFeatureViewRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_feature_view(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteFeatureViewRequest, dict]): + The request object. Request message for + [FeatureOnlineStoreAdminService.DeleteFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.DeleteFeatureView]. + name (str): + Required. The name of the FeatureView to be deleted. + Format: + ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_admin_service.DeleteFeatureViewRequest + ): + request = feature_online_store_admin_service.DeleteFeatureViewRequest( + request + ) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_feature_view] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def sync_feature_view( + self, + request: Optional[ + Union[feature_online_store_admin_service.SyncFeatureViewRequest, dict] + ] = None, + *, + feature_view: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_online_store_admin_service.SyncFeatureViewResponse: + r"""Triggers on-demand sync for the FeatureView. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_sync_feature_view(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreAdminServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.SyncFeatureViewRequest( + feature_view="feature_view_value", + ) + + # Make the request + response = client.sync_feature_view(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.SyncFeatureViewRequest, dict]): + The request object. Request message for + [FeatureOnlineStoreAdminService.SyncFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.SyncFeatureView]. + feature_view (str): + Required. Format: + ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}`` + + This corresponds to the ``feature_view`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.SyncFeatureViewResponse: + Response message for + [FeatureOnlineStoreAdminService.SyncFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.SyncFeatureView]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [feature_view] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_admin_service.SyncFeatureViewRequest + ): + request = feature_online_store_admin_service.SyncFeatureViewRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if feature_view is not None: + request.feature_view = feature_view + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.sync_feature_view] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("feature_view", request.feature_view),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def get_feature_view_sync( + self, + request: Optional[ + Union[feature_online_store_admin_service.GetFeatureViewSyncRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_view_sync.FeatureViewSync: + r"""Gets details of a single FeatureViewSync. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_feature_view_sync(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreAdminServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetFeatureViewSyncRequest( + name="name_value", + ) + + # Make the request + response = client.get_feature_view_sync(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetFeatureViewSyncRequest, dict]): + The request object. Request message for + [FeatureOnlineStoreAdminService.GetFeatureViewSync][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.GetFeatureViewSync]. + name (str): + Required. The name of the FeatureViewSync resource. + Format: + ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}/featureViewSyncs/{feature_view_sync}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.FeatureViewSync: + FeatureViewSync is a representation + of sync operation which copies data from + data source to Feature View in Online + Store. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_admin_service.GetFeatureViewSyncRequest + ): + request = feature_online_store_admin_service.GetFeatureViewSyncRequest( + request + ) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_feature_view_sync] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_feature_view_syncs( + self, + request: Optional[ + Union[feature_online_store_admin_service.ListFeatureViewSyncsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListFeatureViewSyncsPager: + r"""Lists FeatureViewSyncs in a given FeatureView. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_feature_view_syncs(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreAdminServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListFeatureViewSyncsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_feature_view_syncs(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListFeatureViewSyncsRequest, dict]): + The request object. Request message for + [FeatureOnlineStoreAdminService.ListFeatureViewSyncs][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViewSyncs]. + parent (str): + Required. The resource name of the FeatureView to list + FeatureViewSyncs. Format: + ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.feature_online_store_admin_service.pagers.ListFeatureViewSyncsPager: + Response message for + [FeatureOnlineStoreAdminService.ListFeatureViewSyncs][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViewSyncs]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_admin_service.ListFeatureViewSyncsRequest + ): + request = feature_online_store_admin_service.ListFeatureViewSyncsRequest( + request + ) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_feature_view_syncs] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListFeatureViewSyncsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def __enter__(self) -> "FeatureOnlineStoreAdminServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + +__all__ = ("FeatureOnlineStoreAdminServiceClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/pagers.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/pagers.py new file mode 100644 index 0000000000000000000000000000000000000000..2a34fd35e0caa4b24638611a950c44d502bbb156 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/pagers.py @@ -0,0 +1,553 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import retry_async as retries_async +from typing import ( + Any, + AsyncIterator, + Awaitable, + Callable, + Sequence, + Tuple, + Optional, + Iterator, + Union, +) + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] + OptionalAsyncRetry = Union[ + retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None + ] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.types import feature_online_store +from google.cloud.aiplatform_v1.types import feature_online_store_admin_service +from google.cloud.aiplatform_v1.types import feature_view +from google.cloud.aiplatform_v1.types import feature_view_sync + + +class ListFeatureOnlineStoresPager: + """A pager for iterating through ``list_feature_online_stores`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListFeatureOnlineStoresResponse` object, and + provides an ``__iter__`` method to iterate through its + ``feature_online_stores`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListFeatureOnlineStores`` requests and continue to iterate + through the ``feature_online_stores`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListFeatureOnlineStoresResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[ + ..., feature_online_store_admin_service.ListFeatureOnlineStoresResponse + ], + request: feature_online_store_admin_service.ListFeatureOnlineStoresRequest, + response: feature_online_store_admin_service.ListFeatureOnlineStoresResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListFeatureOnlineStoresRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListFeatureOnlineStoresResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = ( + feature_online_store_admin_service.ListFeatureOnlineStoresRequest(request) + ) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages( + self, + ) -> Iterator[feature_online_store_admin_service.ListFeatureOnlineStoresResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[feature_online_store.FeatureOnlineStore]: + for page in self.pages: + yield from page.feature_online_stores + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListFeatureOnlineStoresAsyncPager: + """A pager for iterating through ``list_feature_online_stores`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListFeatureOnlineStoresResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``feature_online_stores`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListFeatureOnlineStores`` requests and continue to iterate + through the ``feature_online_stores`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListFeatureOnlineStoresResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[ + ..., + Awaitable[ + feature_online_store_admin_service.ListFeatureOnlineStoresResponse + ], + ], + request: feature_online_store_admin_service.ListFeatureOnlineStoresRequest, + response: feature_online_store_admin_service.ListFeatureOnlineStoresResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListFeatureOnlineStoresRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListFeatureOnlineStoresResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = ( + feature_online_store_admin_service.ListFeatureOnlineStoresRequest(request) + ) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages( + self, + ) -> AsyncIterator[ + feature_online_store_admin_service.ListFeatureOnlineStoresResponse + ]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[feature_online_store.FeatureOnlineStore]: + async def async_generator(): + async for page in self.pages: + for response in page.feature_online_stores: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListFeatureViewsPager: + """A pager for iterating through ``list_feature_views`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListFeatureViewsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``feature_views`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListFeatureViews`` requests and continue to iterate + through the ``feature_views`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListFeatureViewsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[ + ..., feature_online_store_admin_service.ListFeatureViewsResponse + ], + request: feature_online_store_admin_service.ListFeatureViewsRequest, + response: feature_online_store_admin_service.ListFeatureViewsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListFeatureViewsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListFeatureViewsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = feature_online_store_admin_service.ListFeatureViewsRequest( + request + ) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages( + self, + ) -> Iterator[feature_online_store_admin_service.ListFeatureViewsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[feature_view.FeatureView]: + for page in self.pages: + yield from page.feature_views + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListFeatureViewsAsyncPager: + """A pager for iterating through ``list_feature_views`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListFeatureViewsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``feature_views`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListFeatureViews`` requests and continue to iterate + through the ``feature_views`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListFeatureViewsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[ + ..., Awaitable[feature_online_store_admin_service.ListFeatureViewsResponse] + ], + request: feature_online_store_admin_service.ListFeatureViewsRequest, + response: feature_online_store_admin_service.ListFeatureViewsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListFeatureViewsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListFeatureViewsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = feature_online_store_admin_service.ListFeatureViewsRequest( + request + ) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages( + self, + ) -> AsyncIterator[feature_online_store_admin_service.ListFeatureViewsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[feature_view.FeatureView]: + async def async_generator(): + async for page in self.pages: + for response in page.feature_views: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListFeatureViewSyncsPager: + """A pager for iterating through ``list_feature_view_syncs`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListFeatureViewSyncsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``feature_view_syncs`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListFeatureViewSyncs`` requests and continue to iterate + through the ``feature_view_syncs`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListFeatureViewSyncsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[ + ..., feature_online_store_admin_service.ListFeatureViewSyncsResponse + ], + request: feature_online_store_admin_service.ListFeatureViewSyncsRequest, + response: feature_online_store_admin_service.ListFeatureViewSyncsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListFeatureViewSyncsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListFeatureViewSyncsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = feature_online_store_admin_service.ListFeatureViewSyncsRequest( + request + ) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages( + self, + ) -> Iterator[feature_online_store_admin_service.ListFeatureViewSyncsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[feature_view_sync.FeatureViewSync]: + for page in self.pages: + yield from page.feature_view_syncs + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListFeatureViewSyncsAsyncPager: + """A pager for iterating through ``list_feature_view_syncs`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListFeatureViewSyncsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``feature_view_syncs`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListFeatureViewSyncs`` requests and continue to iterate + through the ``feature_view_syncs`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListFeatureViewSyncsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[ + ..., + Awaitable[feature_online_store_admin_service.ListFeatureViewSyncsResponse], + ], + request: feature_online_store_admin_service.ListFeatureViewSyncsRequest, + response: feature_online_store_admin_service.ListFeatureViewSyncsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListFeatureViewSyncsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListFeatureViewSyncsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = feature_online_store_admin_service.ListFeatureViewSyncsRequest( + request + ) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages( + self, + ) -> AsyncIterator[feature_online_store_admin_service.ListFeatureViewSyncsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[feature_view_sync.FeatureViewSync]: + async def async_generator(): + async for page in self.pages: + for response in page.feature_view_syncs: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..31e263b75eaa4b39d95934820d93a95b81334311 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/__init__.py @@ -0,0 +1,58 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from typing import Dict, Type, Tuple + +from .base import FeatureOnlineStoreAdminServiceTransport +from .grpc import FeatureOnlineStoreAdminServiceGrpcTransport +from .grpc_asyncio import FeatureOnlineStoreAdminServiceGrpcAsyncIOTransport +from .rest import FeatureOnlineStoreAdminServiceRestTransport +from .rest import FeatureOnlineStoreAdminServiceRestInterceptor + +ASYNC_REST_CLASSES: Tuple[str, ...] +try: + from .rest_asyncio import AsyncFeatureOnlineStoreAdminServiceRestTransport + from .rest_asyncio import AsyncFeatureOnlineStoreAdminServiceRestInterceptor + + ASYNC_REST_CLASSES = ( + "AsyncFeatureOnlineStoreAdminServiceRestTransport", + "AsyncFeatureOnlineStoreAdminServiceRestInterceptor", + ) + HAS_REST_ASYNC = True +except ImportError: # pragma: NO COVER + ASYNC_REST_CLASSES = () + HAS_REST_ASYNC = False + + +# Compile a registry of transports. +_transport_registry = ( + OrderedDict() +) # type: Dict[str, Type[FeatureOnlineStoreAdminServiceTransport]] +_transport_registry["grpc"] = FeatureOnlineStoreAdminServiceGrpcTransport +_transport_registry["grpc_asyncio"] = FeatureOnlineStoreAdminServiceGrpcAsyncIOTransport +_transport_registry["rest"] = FeatureOnlineStoreAdminServiceRestTransport +if HAS_REST_ASYNC: # pragma: NO COVER + _transport_registry["rest_asyncio"] = ( + AsyncFeatureOnlineStoreAdminServiceRestTransport + ) + +__all__ = ( + "FeatureOnlineStoreAdminServiceTransport", + "FeatureOnlineStoreAdminServiceGrpcTransport", + "FeatureOnlineStoreAdminServiceGrpcAsyncIOTransport", + "FeatureOnlineStoreAdminServiceRestTransport", + "FeatureOnlineStoreAdminServiceRestInterceptor", +) + ASYNC_REST_CLASSES diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/__pycache__/__init__.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/__pycache__/__init__.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..d4748cd45db24372907ec3e2244359ef45317b6e Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/__pycache__/__init__.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/__pycache__/base.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/__pycache__/base.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..852debf296887b2a8947cfe5e820b8f639254fc2 Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/__pycache__/base.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/__pycache__/grpc.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/__pycache__/grpc.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..5251210e413e5a56107ea9e26e5543b0633099af Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/__pycache__/grpc.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/__pycache__/grpc_asyncio.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/__pycache__/grpc_asyncio.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..36bc91deab819f216f071d7203808de895751790 Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/__pycache__/grpc_asyncio.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/base.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/base.py new file mode 100644 index 0000000000000000000000000000000000000000..74e8bb4e92b8a0795157860faa6139172f1ca6d7 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/base.py @@ -0,0 +1,520 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import abc +from typing import Awaitable, Callable, Dict, Optional, Sequence, Union + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +import google.auth # type: ignore +import google.api_core +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import operations_v1 +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +from google.cloud.aiplatform_v1.types import feature_online_store +from google.cloud.aiplatform_v1.types import feature_online_store_admin_service +from google.cloud.aiplatform_v1.types import feature_view +from google.cloud.aiplatform_v1.types import feature_view_sync +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +class FeatureOnlineStoreAdminServiceTransport(abc.ABC): + """Abstract transport class for FeatureOnlineStoreAdminService.""" + + AUTH_SCOPES = ("https://www.googleapis.com/auth/cloud-platform",) + + DEFAULT_HOST: str = "aiplatform.googleapis.com" + + def __init__( + self, + *, + host: str = DEFAULT_HOST, + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + **kwargs, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. This argument will be + removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A list of scopes. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + """ + + # Save the scopes. + self._scopes = scopes + if not hasattr(self, "_ignore_credentials"): + self._ignore_credentials: bool = False + + # If no credentials are provided, then determine the appropriate + # defaults. + if credentials and credentials_file: + raise core_exceptions.DuplicateCredentialArgs( + "'credentials_file' and 'credentials' are mutually exclusive" + ) + + if credentials_file is not None: + credentials, _ = google.auth.load_credentials_from_file( + credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + default_scopes=self.AUTH_SCOPES, + ) + elif credentials is None and not self._ignore_credentials: + credentials, _ = google.auth.default( + scopes=scopes, + quota_project_id=quota_project_id, + default_scopes=self.AUTH_SCOPES, + ) + # Don't apply audience if the credentials file passed from user. + if hasattr(credentials, "with_gdch_audience"): + credentials = credentials.with_gdch_audience( + api_audience if api_audience else host + ) + + # If the credentials are service account credentials, then always try to use self signed JWT. + if ( + always_use_jwt_access + and isinstance(credentials, service_account.Credentials) + and hasattr(service_account.Credentials, "with_always_use_jwt_access") + ): + credentials = credentials.with_always_use_jwt_access(True) + + # Save the credentials. + self._credentials = credentials + + # Save the hostname. Default to port 443 (HTTPS) if none is specified. + if ":" not in host: + host += ":443" + self._host = host + + @property + def host(self): + return self._host + + def _prep_wrapped_messages(self, client_info): + # Precompute the wrapped methods. + self._wrapped_methods = { + self.create_feature_online_store: gapic_v1.method.wrap_method( + self.create_feature_online_store, + default_timeout=None, + client_info=client_info, + ), + self.get_feature_online_store: gapic_v1.method.wrap_method( + self.get_feature_online_store, + default_timeout=None, + client_info=client_info, + ), + self.list_feature_online_stores: gapic_v1.method.wrap_method( + self.list_feature_online_stores, + default_timeout=None, + client_info=client_info, + ), + self.update_feature_online_store: gapic_v1.method.wrap_method( + self.update_feature_online_store, + default_timeout=None, + client_info=client_info, + ), + self.delete_feature_online_store: gapic_v1.method.wrap_method( + self.delete_feature_online_store, + default_timeout=None, + client_info=client_info, + ), + self.create_feature_view: gapic_v1.method.wrap_method( + self.create_feature_view, + default_timeout=None, + client_info=client_info, + ), + self.get_feature_view: gapic_v1.method.wrap_method( + self.get_feature_view, + default_timeout=None, + client_info=client_info, + ), + self.list_feature_views: gapic_v1.method.wrap_method( + self.list_feature_views, + default_timeout=None, + client_info=client_info, + ), + self.update_feature_view: gapic_v1.method.wrap_method( + self.update_feature_view, + default_timeout=None, + client_info=client_info, + ), + self.delete_feature_view: gapic_v1.method.wrap_method( + self.delete_feature_view, + default_timeout=None, + client_info=client_info, + ), + self.sync_feature_view: gapic_v1.method.wrap_method( + self.sync_feature_view, + default_timeout=None, + client_info=client_info, + ), + self.get_feature_view_sync: gapic_v1.method.wrap_method( + self.get_feature_view_sync, + default_timeout=None, + client_info=client_info, + ), + self.list_feature_view_syncs: gapic_v1.method.wrap_method( + self.list_feature_view_syncs, + default_timeout=None, + client_info=client_info, + ), + self.get_location: gapic_v1.method.wrap_method( + self.get_location, + default_timeout=None, + client_info=client_info, + ), + self.list_locations: gapic_v1.method.wrap_method( + self.list_locations, + default_timeout=None, + client_info=client_info, + ), + self.get_iam_policy: gapic_v1.method.wrap_method( + self.get_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.set_iam_policy: gapic_v1.method.wrap_method( + self.set_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.test_iam_permissions: gapic_v1.method.wrap_method( + self.test_iam_permissions, + default_timeout=None, + client_info=client_info, + ), + self.cancel_operation: gapic_v1.method.wrap_method( + self.cancel_operation, + default_timeout=None, + client_info=client_info, + ), + self.delete_operation: gapic_v1.method.wrap_method( + self.delete_operation, + default_timeout=None, + client_info=client_info, + ), + self.get_operation: gapic_v1.method.wrap_method( + self.get_operation, + default_timeout=None, + client_info=client_info, + ), + self.list_operations: gapic_v1.method.wrap_method( + self.list_operations, + default_timeout=None, + client_info=client_info, + ), + self.wait_operation: gapic_v1.method.wrap_method( + self.wait_operation, + default_timeout=None, + client_info=client_info, + ), + } + + def close(self): + """Closes resources associated with the transport. + + .. warning:: + Only call this method if the transport is NOT shared + with other clients - this may cause errors in other clients! + """ + raise NotImplementedError() + + @property + def operations_client(self): + """Return the client designed to process long-running operations.""" + raise NotImplementedError() + + @property + def create_feature_online_store( + self, + ) -> Callable[ + [feature_online_store_admin_service.CreateFeatureOnlineStoreRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def get_feature_online_store( + self, + ) -> Callable[ + [feature_online_store_admin_service.GetFeatureOnlineStoreRequest], + Union[ + feature_online_store.FeatureOnlineStore, + Awaitable[feature_online_store.FeatureOnlineStore], + ], + ]: + raise NotImplementedError() + + @property + def list_feature_online_stores( + self, + ) -> Callable[ + [feature_online_store_admin_service.ListFeatureOnlineStoresRequest], + Union[ + feature_online_store_admin_service.ListFeatureOnlineStoresResponse, + Awaitable[ + feature_online_store_admin_service.ListFeatureOnlineStoresResponse + ], + ], + ]: + raise NotImplementedError() + + @property + def update_feature_online_store( + self, + ) -> Callable[ + [feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def delete_feature_online_store( + self, + ) -> Callable[ + [feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def create_feature_view( + self, + ) -> Callable[ + [feature_online_store_admin_service.CreateFeatureViewRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def get_feature_view( + self, + ) -> Callable[ + [feature_online_store_admin_service.GetFeatureViewRequest], + Union[feature_view.FeatureView, Awaitable[feature_view.FeatureView]], + ]: + raise NotImplementedError() + + @property + def list_feature_views( + self, + ) -> Callable[ + [feature_online_store_admin_service.ListFeatureViewsRequest], + Union[ + feature_online_store_admin_service.ListFeatureViewsResponse, + Awaitable[feature_online_store_admin_service.ListFeatureViewsResponse], + ], + ]: + raise NotImplementedError() + + @property + def update_feature_view( + self, + ) -> Callable[ + [feature_online_store_admin_service.UpdateFeatureViewRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def delete_feature_view( + self, + ) -> Callable[ + [feature_online_store_admin_service.DeleteFeatureViewRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def sync_feature_view( + self, + ) -> Callable[ + [feature_online_store_admin_service.SyncFeatureViewRequest], + Union[ + feature_online_store_admin_service.SyncFeatureViewResponse, + Awaitable[feature_online_store_admin_service.SyncFeatureViewResponse], + ], + ]: + raise NotImplementedError() + + @property + def get_feature_view_sync( + self, + ) -> Callable[ + [feature_online_store_admin_service.GetFeatureViewSyncRequest], + Union[ + feature_view_sync.FeatureViewSync, + Awaitable[feature_view_sync.FeatureViewSync], + ], + ]: + raise NotImplementedError() + + @property + def list_feature_view_syncs( + self, + ) -> Callable[ + [feature_online_store_admin_service.ListFeatureViewSyncsRequest], + Union[ + feature_online_store_admin_service.ListFeatureViewSyncsResponse, + Awaitable[feature_online_store_admin_service.ListFeatureViewSyncsResponse], + ], + ]: + raise NotImplementedError() + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], + Union[ + operations_pb2.ListOperationsResponse, + Awaitable[operations_pb2.ListOperationsResponse], + ], + ]: + raise NotImplementedError() + + @property + def get_operation( + self, + ) -> Callable[ + [operations_pb2.GetOperationRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def cancel_operation( + self, + ) -> Callable[ + [operations_pb2.CancelOperationRequest], + None, + ]: + raise NotImplementedError() + + @property + def delete_operation( + self, + ) -> Callable[ + [operations_pb2.DeleteOperationRequest], + None, + ]: + raise NotImplementedError() + + @property + def wait_operation( + self, + ) -> Callable[ + [operations_pb2.WaitOperationRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def set_iam_policy( + self, + ) -> Callable[ + [iam_policy_pb2.SetIamPolicyRequest], + Union[policy_pb2.Policy, Awaitable[policy_pb2.Policy]], + ]: + raise NotImplementedError() + + @property + def get_iam_policy( + self, + ) -> Callable[ + [iam_policy_pb2.GetIamPolicyRequest], + Union[policy_pb2.Policy, Awaitable[policy_pb2.Policy]], + ]: + raise NotImplementedError() + + @property + def test_iam_permissions( + self, + ) -> Callable[ + [iam_policy_pb2.TestIamPermissionsRequest], + Union[ + iam_policy_pb2.TestIamPermissionsResponse, + Awaitable[iam_policy_pb2.TestIamPermissionsResponse], + ], + ]: + raise NotImplementedError() + + @property + def get_location( + self, + ) -> Callable[ + [locations_pb2.GetLocationRequest], + Union[locations_pb2.Location, Awaitable[locations_pb2.Location]], + ]: + raise NotImplementedError() + + @property + def list_locations( + self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], + Union[ + locations_pb2.ListLocationsResponse, + Awaitable[locations_pb2.ListLocationsResponse], + ], + ]: + raise NotImplementedError() + + @property + def kind(self) -> str: + raise NotImplementedError() + + +__all__ = ("FeatureOnlineStoreAdminServiceTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/grpc.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/grpc.py new file mode 100644 index 0000000000000000000000000000000000000000..d10fa3b174ba67e7e4097c1d3c96aced996964e9 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/grpc.py @@ -0,0 +1,954 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import json +import logging as std_logging +import pickle +import warnings +from typing import Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import grpc_helpers +from google.api_core import operations_v1 +from google.api_core import gapic_v1 +import google.auth # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.protobuf.json_format import MessageToJson +import google.protobuf.message + +import grpc # type: ignore +import proto # type: ignore + +from google.cloud.aiplatform_v1.types import feature_online_store +from google.cloud.aiplatform_v1.types import feature_online_store_admin_service +from google.cloud.aiplatform_v1.types import feature_view +from google.cloud.aiplatform_v1.types import feature_view_sync +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .base import FeatureOnlineStoreAdminServiceTransport, DEFAULT_CLIENT_INFO + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class _LoggingClientInterceptor(grpc.UnaryUnaryClientInterceptor): # pragma: NO COVER + def intercept_unary_unary(self, continuation, client_call_details, request): + logging_enabled = CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ) + if logging_enabled: # pragma: NO COVER + request_metadata = client_call_details.metadata + if isinstance(request, proto.Message): + request_payload = type(request).to_json(request) + elif isinstance(request, google.protobuf.message.Message): + request_payload = MessageToJson(request) + else: + request_payload = f"{type(request).__name__}: {pickle.dumps(request)}" + + request_metadata = { + key: value.decode("utf-8") if isinstance(value, bytes) else value + for key, value in request_metadata + } + grpc_request = { + "payload": request_payload, + "requestMethod": "grpc", + "metadata": dict(request_metadata), + } + _LOGGER.debug( + f"Sending request for {client_call_details.method}", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": str(client_call_details.method), + "request": grpc_request, + "metadata": grpc_request["metadata"], + }, + ) + response = continuation(client_call_details, request) + if logging_enabled: # pragma: NO COVER + response_metadata = response.trailing_metadata() + # Convert gRPC metadata `` to list of tuples + metadata = ( + dict([(k, str(v)) for k, v in response_metadata]) + if response_metadata + else None + ) + result = response.result() + if isinstance(result, proto.Message): + response_payload = type(result).to_json(result) + elif isinstance(result, google.protobuf.message.Message): + response_payload = MessageToJson(result) + else: + response_payload = f"{type(result).__name__}: {pickle.dumps(result)}" + grpc_response = { + "payload": response_payload, + "metadata": metadata, + "status": "OK", + } + _LOGGER.debug( + f"Received response for {client_call_details.method}.", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": client_call_details.method, + "response": grpc_response, + "metadata": grpc_response["metadata"], + }, + ) + return response + + +class FeatureOnlineStoreAdminServiceGrpcTransport( + FeatureOnlineStoreAdminServiceTransport +): + """gRPC backend transport for FeatureOnlineStoreAdminService. + + The service that handles CRUD and List for resources for + FeatureOnlineStore. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + + _stubs: Dict[str, Callable] + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]] = None, + api_mtls_endpoint: Optional[str] = None, + client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if a ``channel`` instance is provided. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if a ``channel`` instance is provided. + This argument will be removed in the next major version of this library. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if a ``channel`` instance is provided. + channel (Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]]): + A ``Channel`` instance through which to make calls, or a Callable + that constructs and returns one. If set to None, ``self.create_channel`` + is used to create the channel. If a Callable is given, it will be called + with the same arguments as used in ``self.create_channel``. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if a ``channel`` instance is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + self._operations_client: Optional[operations_v1.OperationsClient] = None + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if isinstance(channel, grpc.Channel): + # Ignore credentials if a channel was passed. + credentials = None + self._ignore_credentials = True + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + # initialize with the provided callable or the default channel + channel_init = channel or type(self).create_channel + self._grpc_channel = channel_init( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + self._interceptor = _LoggingClientInterceptor() + self._logged_channel = grpc.intercept_channel( + self._grpc_channel, self._interceptor + ) + + # Wrap messages. This must be done after self._logged_channel exists + self._prep_wrapped_messages(client_info) + + @classmethod + def create_channel( + cls, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs, + ) -> grpc.Channel: + """Create and return a gRPC channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. This argument will be + removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + grpc.Channel: A gRPC channel object. + + Raises: + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + + return grpc_helpers.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs, + ) + + @property + def grpc_channel(self) -> grpc.Channel: + """Return the channel designed to connect to this service.""" + return self._grpc_channel + + @property + def operations_client(self) -> operations_v1.OperationsClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Quick check: Only create a new client if we do not already have one. + if self._operations_client is None: + self._operations_client = operations_v1.OperationsClient( + self._logged_channel + ) + + # Return the client from cache. + return self._operations_client + + @property + def create_feature_online_store( + self, + ) -> Callable[ + [feature_online_store_admin_service.CreateFeatureOnlineStoreRequest], + operations_pb2.Operation, + ]: + r"""Return a callable for the create feature online store method over gRPC. + + Creates a new FeatureOnlineStore in a given project + and location. + + Returns: + Callable[[~.CreateFeatureOnlineStoreRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "create_feature_online_store" not in self._stubs: + self._stubs["create_feature_online_store"] = ( + self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService/CreateFeatureOnlineStore", + request_serializer=feature_online_store_admin_service.CreateFeatureOnlineStoreRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + ) + return self._stubs["create_feature_online_store"] + + @property + def get_feature_online_store( + self, + ) -> Callable[ + [feature_online_store_admin_service.GetFeatureOnlineStoreRequest], + feature_online_store.FeatureOnlineStore, + ]: + r"""Return a callable for the get feature online store method over gRPC. + + Gets details of a single FeatureOnlineStore. + + Returns: + Callable[[~.GetFeatureOnlineStoreRequest], + ~.FeatureOnlineStore]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_feature_online_store" not in self._stubs: + self._stubs["get_feature_online_store"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService/GetFeatureOnlineStore", + request_serializer=feature_online_store_admin_service.GetFeatureOnlineStoreRequest.serialize, + response_deserializer=feature_online_store.FeatureOnlineStore.deserialize, + ) + return self._stubs["get_feature_online_store"] + + @property + def list_feature_online_stores( + self, + ) -> Callable[ + [feature_online_store_admin_service.ListFeatureOnlineStoresRequest], + feature_online_store_admin_service.ListFeatureOnlineStoresResponse, + ]: + r"""Return a callable for the list feature online stores method over gRPC. + + Lists FeatureOnlineStores in a given project and + location. + + Returns: + Callable[[~.ListFeatureOnlineStoresRequest], + ~.ListFeatureOnlineStoresResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_feature_online_stores" not in self._stubs: + self._stubs["list_feature_online_stores"] = ( + self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService/ListFeatureOnlineStores", + request_serializer=feature_online_store_admin_service.ListFeatureOnlineStoresRequest.serialize, + response_deserializer=feature_online_store_admin_service.ListFeatureOnlineStoresResponse.deserialize, + ) + ) + return self._stubs["list_feature_online_stores"] + + @property + def update_feature_online_store( + self, + ) -> Callable[ + [feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest], + operations_pb2.Operation, + ]: + r"""Return a callable for the update feature online store method over gRPC. + + Updates the parameters of a single + FeatureOnlineStore. + + Returns: + Callable[[~.UpdateFeatureOnlineStoreRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "update_feature_online_store" not in self._stubs: + self._stubs["update_feature_online_store"] = ( + self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService/UpdateFeatureOnlineStore", + request_serializer=feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + ) + return self._stubs["update_feature_online_store"] + + @property + def delete_feature_online_store( + self, + ) -> Callable[ + [feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest], + operations_pb2.Operation, + ]: + r"""Return a callable for the delete feature online store method over gRPC. + + Deletes a single FeatureOnlineStore. The + FeatureOnlineStore must not contain any FeatureViews. + + Returns: + Callable[[~.DeleteFeatureOnlineStoreRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_feature_online_store" not in self._stubs: + self._stubs["delete_feature_online_store"] = ( + self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService/DeleteFeatureOnlineStore", + request_serializer=feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + ) + return self._stubs["delete_feature_online_store"] + + @property + def create_feature_view( + self, + ) -> Callable[ + [feature_online_store_admin_service.CreateFeatureViewRequest], + operations_pb2.Operation, + ]: + r"""Return a callable for the create feature view method over gRPC. + + Creates a new FeatureView in a given + FeatureOnlineStore. + + Returns: + Callable[[~.CreateFeatureViewRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "create_feature_view" not in self._stubs: + self._stubs["create_feature_view"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService/CreateFeatureView", + request_serializer=feature_online_store_admin_service.CreateFeatureViewRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["create_feature_view"] + + @property + def get_feature_view( + self, + ) -> Callable[ + [feature_online_store_admin_service.GetFeatureViewRequest], + feature_view.FeatureView, + ]: + r"""Return a callable for the get feature view method over gRPC. + + Gets details of a single FeatureView. + + Returns: + Callable[[~.GetFeatureViewRequest], + ~.FeatureView]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_feature_view" not in self._stubs: + self._stubs["get_feature_view"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService/GetFeatureView", + request_serializer=feature_online_store_admin_service.GetFeatureViewRequest.serialize, + response_deserializer=feature_view.FeatureView.deserialize, + ) + return self._stubs["get_feature_view"] + + @property + def list_feature_views( + self, + ) -> Callable[ + [feature_online_store_admin_service.ListFeatureViewsRequest], + feature_online_store_admin_service.ListFeatureViewsResponse, + ]: + r"""Return a callable for the list feature views method over gRPC. + + Lists FeatureViews in a given FeatureOnlineStore. + + Returns: + Callable[[~.ListFeatureViewsRequest], + ~.ListFeatureViewsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_feature_views" not in self._stubs: + self._stubs["list_feature_views"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService/ListFeatureViews", + request_serializer=feature_online_store_admin_service.ListFeatureViewsRequest.serialize, + response_deserializer=feature_online_store_admin_service.ListFeatureViewsResponse.deserialize, + ) + return self._stubs["list_feature_views"] + + @property + def update_feature_view( + self, + ) -> Callable[ + [feature_online_store_admin_service.UpdateFeatureViewRequest], + operations_pb2.Operation, + ]: + r"""Return a callable for the update feature view method over gRPC. + + Updates the parameters of a single FeatureView. + + Returns: + Callable[[~.UpdateFeatureViewRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "update_feature_view" not in self._stubs: + self._stubs["update_feature_view"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService/UpdateFeatureView", + request_serializer=feature_online_store_admin_service.UpdateFeatureViewRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["update_feature_view"] + + @property + def delete_feature_view( + self, + ) -> Callable[ + [feature_online_store_admin_service.DeleteFeatureViewRequest], + operations_pb2.Operation, + ]: + r"""Return a callable for the delete feature view method over gRPC. + + Deletes a single FeatureView. + + Returns: + Callable[[~.DeleteFeatureViewRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_feature_view" not in self._stubs: + self._stubs["delete_feature_view"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService/DeleteFeatureView", + request_serializer=feature_online_store_admin_service.DeleteFeatureViewRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["delete_feature_view"] + + @property + def sync_feature_view( + self, + ) -> Callable[ + [feature_online_store_admin_service.SyncFeatureViewRequest], + feature_online_store_admin_service.SyncFeatureViewResponse, + ]: + r"""Return a callable for the sync feature view method over gRPC. + + Triggers on-demand sync for the FeatureView. + + Returns: + Callable[[~.SyncFeatureViewRequest], + ~.SyncFeatureViewResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "sync_feature_view" not in self._stubs: + self._stubs["sync_feature_view"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService/SyncFeatureView", + request_serializer=feature_online_store_admin_service.SyncFeatureViewRequest.serialize, + response_deserializer=feature_online_store_admin_service.SyncFeatureViewResponse.deserialize, + ) + return self._stubs["sync_feature_view"] + + @property + def get_feature_view_sync( + self, + ) -> Callable[ + [feature_online_store_admin_service.GetFeatureViewSyncRequest], + feature_view_sync.FeatureViewSync, + ]: + r"""Return a callable for the get feature view sync method over gRPC. + + Gets details of a single FeatureViewSync. + + Returns: + Callable[[~.GetFeatureViewSyncRequest], + ~.FeatureViewSync]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_feature_view_sync" not in self._stubs: + self._stubs["get_feature_view_sync"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService/GetFeatureViewSync", + request_serializer=feature_online_store_admin_service.GetFeatureViewSyncRequest.serialize, + response_deserializer=feature_view_sync.FeatureViewSync.deserialize, + ) + return self._stubs["get_feature_view_sync"] + + @property + def list_feature_view_syncs( + self, + ) -> Callable[ + [feature_online_store_admin_service.ListFeatureViewSyncsRequest], + feature_online_store_admin_service.ListFeatureViewSyncsResponse, + ]: + r"""Return a callable for the list feature view syncs method over gRPC. + + Lists FeatureViewSyncs in a given FeatureView. + + Returns: + Callable[[~.ListFeatureViewSyncsRequest], + ~.ListFeatureViewSyncsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_feature_view_syncs" not in self._stubs: + self._stubs["list_feature_view_syncs"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService/ListFeatureViewSyncs", + request_serializer=feature_online_store_admin_service.ListFeatureViewSyncsRequest.serialize, + response_deserializer=feature_online_store_admin_service.ListFeatureViewSyncsResponse.deserialize, + ) + return self._stubs["list_feature_view_syncs"] + + def close(self): + self._logged_channel.close() + + @property + def delete_operation( + self, + ) -> Callable[[operations_pb2.DeleteOperationRequest], None]: + r"""Return a callable for the delete_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_operation" not in self._stubs: + self._stubs["delete_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/DeleteOperation", + request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["delete_operation"] + + @property + def cancel_operation( + self, + ) -> Callable[[operations_pb2.CancelOperationRequest], None]: + r"""Return a callable for the cancel_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "cancel_operation" not in self._stubs: + self._stubs["cancel_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/CancelOperation", + request_serializer=operations_pb2.CancelOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["cancel_operation"] + + @property + def wait_operation( + self, + ) -> Callable[[operations_pb2.WaitOperationRequest], None]: + r"""Return a callable for the wait_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "wait_operation" not in self._stubs: + self._stubs["wait_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/WaitOperation", + request_serializer=operations_pb2.WaitOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["wait_operation"] + + @property + def get_operation( + self, + ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]: + r"""Return a callable for the get_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_operation" not in self._stubs: + self._stubs["get_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/GetOperation", + request_serializer=operations_pb2.GetOperationRequest.SerializeToString, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["get_operation"] + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse + ]: + r"""Return a callable for the list_operations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_operations" not in self._stubs: + self._stubs["list_operations"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/ListOperations", + request_serializer=operations_pb2.ListOperationsRequest.SerializeToString, + response_deserializer=operations_pb2.ListOperationsResponse.FromString, + ) + return self._stubs["list_operations"] + + @property + def list_locations( + self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse + ]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_locations" not in self._stubs: + self._stubs["list_locations"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/ListLocations", + request_serializer=locations_pb2.ListLocationsRequest.SerializeToString, + response_deserializer=locations_pb2.ListLocationsResponse.FromString, + ) + return self._stubs["list_locations"] + + @property + def get_location( + self, + ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_location" not in self._stubs: + self._stubs["get_location"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/GetLocation", + request_serializer=locations_pb2.GetLocationRequest.SerializeToString, + response_deserializer=locations_pb2.Location.FromString, + ) + return self._stubs["get_location"] + + @property + def set_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.SetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the set iam policy method over gRPC. + Sets the IAM access control policy on the specified + function. Replaces any existing policy. + Returns: + Callable[[~.SetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "set_iam_policy" not in self._stubs: + self._stubs["set_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/SetIamPolicy", + request_serializer=iam_policy_pb2.SetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["set_iam_policy"] + + @property + def get_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.GetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the get iam policy method over gRPC. + Gets the IAM access control policy for a function. + Returns an empty policy if the function exists and does + not have a policy set. + Returns: + Callable[[~.GetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_iam_policy" not in self._stubs: + self._stubs["get_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/GetIamPolicy", + request_serializer=iam_policy_pb2.GetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["get_iam_policy"] + + @property + def test_iam_permissions( + self, + ) -> Callable[ + [iam_policy_pb2.TestIamPermissionsRequest], + iam_policy_pb2.TestIamPermissionsResponse, + ]: + r"""Return a callable for the test iam permissions method over gRPC. + Tests the specified permissions against the IAM access control + policy for a function. If the function does not exist, this will + return an empty set of permissions, not a NOT_FOUND error. + Returns: + Callable[[~.TestIamPermissionsRequest], + ~.TestIamPermissionsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "test_iam_permissions" not in self._stubs: + self._stubs["test_iam_permissions"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/TestIamPermissions", + request_serializer=iam_policy_pb2.TestIamPermissionsRequest.SerializeToString, + response_deserializer=iam_policy_pb2.TestIamPermissionsResponse.FromString, + ) + return self._stubs["test_iam_permissions"] + + @property + def kind(self) -> str: + return "grpc" + + +__all__ = ("FeatureOnlineStoreAdminServiceGrpcTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/grpc_asyncio.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/grpc_asyncio.py new file mode 100644 index 0000000000000000000000000000000000000000..30b550939ae9ba4ee6180bb98fd41bf4f4278686 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/grpc_asyncio.py @@ -0,0 +1,1087 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import inspect +import json +import pickle +import logging as std_logging +import warnings +from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import gapic_v1 +from google.api_core import grpc_helpers_async +from google.api_core import exceptions as core_exceptions +from google.api_core import retry_async as retries +from google.api_core import operations_v1 +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.protobuf.json_format import MessageToJson +import google.protobuf.message + +import grpc # type: ignore +import proto # type: ignore +from grpc.experimental import aio # type: ignore + +from google.cloud.aiplatform_v1.types import feature_online_store +from google.cloud.aiplatform_v1.types import feature_online_store_admin_service +from google.cloud.aiplatform_v1.types import feature_view +from google.cloud.aiplatform_v1.types import feature_view_sync +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .base import FeatureOnlineStoreAdminServiceTransport, DEFAULT_CLIENT_INFO +from .grpc import FeatureOnlineStoreAdminServiceGrpcTransport + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class _LoggingClientAIOInterceptor( + grpc.aio.UnaryUnaryClientInterceptor +): # pragma: NO COVER + async def intercept_unary_unary(self, continuation, client_call_details, request): + logging_enabled = CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ) + if logging_enabled: # pragma: NO COVER + request_metadata = client_call_details.metadata + if isinstance(request, proto.Message): + request_payload = type(request).to_json(request) + elif isinstance(request, google.protobuf.message.Message): + request_payload = MessageToJson(request) + else: + request_payload = f"{type(request).__name__}: {pickle.dumps(request)}" + + request_metadata = { + key: value.decode("utf-8") if isinstance(value, bytes) else value + for key, value in request_metadata + } + grpc_request = { + "payload": request_payload, + "requestMethod": "grpc", + "metadata": dict(request_metadata), + } + _LOGGER.debug( + f"Sending request for {client_call_details.method}", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": str(client_call_details.method), + "request": grpc_request, + "metadata": grpc_request["metadata"], + }, + ) + response = await continuation(client_call_details, request) + if logging_enabled: # pragma: NO COVER + response_metadata = await response.trailing_metadata() + # Convert gRPC metadata `` to list of tuples + metadata = ( + dict([(k, str(v)) for k, v in response_metadata]) + if response_metadata + else None + ) + result = await response + if isinstance(result, proto.Message): + response_payload = type(result).to_json(result) + elif isinstance(result, google.protobuf.message.Message): + response_payload = MessageToJson(result) + else: + response_payload = f"{type(result).__name__}: {pickle.dumps(result)}" + grpc_response = { + "payload": response_payload, + "metadata": metadata, + "status": "OK", + } + _LOGGER.debug( + f"Received response to rpc {client_call_details.method}.", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": str(client_call_details.method), + "response": grpc_response, + "metadata": grpc_response["metadata"], + }, + ) + return response + + +class FeatureOnlineStoreAdminServiceGrpcAsyncIOTransport( + FeatureOnlineStoreAdminServiceTransport +): + """gRPC AsyncIO backend transport for FeatureOnlineStoreAdminService. + + The service that handles CRUD and List for resources for + FeatureOnlineStore. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + + _grpc_channel: aio.Channel + _stubs: Dict[str, Callable] = {} + + @classmethod + def create_channel( + cls, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs, + ) -> aio.Channel: + """Create and return a gRPC AsyncIO channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. This argument will be + removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + aio.Channel: A gRPC AsyncIO channel object. + """ + + return grpc_helpers_async.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs, + ) + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: Optional[Union[aio.Channel, Callable[..., aio.Channel]]] = None, + api_mtls_endpoint: Optional[str] = None, + client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if a ``channel`` instance is provided. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if a ``channel`` instance is provided. + This argument will be removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + channel (Optional[Union[aio.Channel, Callable[..., aio.Channel]]]): + A ``Channel`` instance through which to make calls, or a Callable + that constructs and returns one. If set to None, ``self.create_channel`` + is used to create the channel. If a Callable is given, it will be called + with the same arguments as used in ``self.create_channel``. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if a ``channel`` instance is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if isinstance(channel, aio.Channel): + # Ignore credentials if a channel was passed. + credentials = None + self._ignore_credentials = True + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + # initialize with the provided callable or the default channel + channel_init = channel or type(self).create_channel + self._grpc_channel = channel_init( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + self._interceptor = _LoggingClientAIOInterceptor() + self._grpc_channel._unary_unary_interceptors.append(self._interceptor) + self._logged_channel = self._grpc_channel + self._wrap_with_kind = ( + "kind" in inspect.signature(gapic_v1.method_async.wrap_method).parameters + ) + # Wrap messages. This must be done after self._logged_channel exists + self._prep_wrapped_messages(client_info) + + @property + def grpc_channel(self) -> aio.Channel: + """Create the channel designed to connect to this service. + + This property caches on the instance; repeated calls return + the same channel. + """ + # Return the channel from cache. + return self._grpc_channel + + @property + def operations_client(self) -> operations_v1.OperationsAsyncClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Quick check: Only create a new client if we do not already have one. + if self._operations_client is None: + self._operations_client = operations_v1.OperationsAsyncClient( + self._logged_channel + ) + + # Return the client from cache. + return self._operations_client + + @property + def create_feature_online_store( + self, + ) -> Callable[ + [feature_online_store_admin_service.CreateFeatureOnlineStoreRequest], + Awaitable[operations_pb2.Operation], + ]: + r"""Return a callable for the create feature online store method over gRPC. + + Creates a new FeatureOnlineStore in a given project + and location. + + Returns: + Callable[[~.CreateFeatureOnlineStoreRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "create_feature_online_store" not in self._stubs: + self._stubs["create_feature_online_store"] = ( + self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService/CreateFeatureOnlineStore", + request_serializer=feature_online_store_admin_service.CreateFeatureOnlineStoreRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + ) + return self._stubs["create_feature_online_store"] + + @property + def get_feature_online_store( + self, + ) -> Callable[ + [feature_online_store_admin_service.GetFeatureOnlineStoreRequest], + Awaitable[feature_online_store.FeatureOnlineStore], + ]: + r"""Return a callable for the get feature online store method over gRPC. + + Gets details of a single FeatureOnlineStore. + + Returns: + Callable[[~.GetFeatureOnlineStoreRequest], + Awaitable[~.FeatureOnlineStore]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_feature_online_store" not in self._stubs: + self._stubs["get_feature_online_store"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService/GetFeatureOnlineStore", + request_serializer=feature_online_store_admin_service.GetFeatureOnlineStoreRequest.serialize, + response_deserializer=feature_online_store.FeatureOnlineStore.deserialize, + ) + return self._stubs["get_feature_online_store"] + + @property + def list_feature_online_stores( + self, + ) -> Callable[ + [feature_online_store_admin_service.ListFeatureOnlineStoresRequest], + Awaitable[feature_online_store_admin_service.ListFeatureOnlineStoresResponse], + ]: + r"""Return a callable for the list feature online stores method over gRPC. + + Lists FeatureOnlineStores in a given project and + location. + + Returns: + Callable[[~.ListFeatureOnlineStoresRequest], + Awaitable[~.ListFeatureOnlineStoresResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_feature_online_stores" not in self._stubs: + self._stubs["list_feature_online_stores"] = ( + self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService/ListFeatureOnlineStores", + request_serializer=feature_online_store_admin_service.ListFeatureOnlineStoresRequest.serialize, + response_deserializer=feature_online_store_admin_service.ListFeatureOnlineStoresResponse.deserialize, + ) + ) + return self._stubs["list_feature_online_stores"] + + @property + def update_feature_online_store( + self, + ) -> Callable[ + [feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest], + Awaitable[operations_pb2.Operation], + ]: + r"""Return a callable for the update feature online store method over gRPC. + + Updates the parameters of a single + FeatureOnlineStore. + + Returns: + Callable[[~.UpdateFeatureOnlineStoreRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "update_feature_online_store" not in self._stubs: + self._stubs["update_feature_online_store"] = ( + self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService/UpdateFeatureOnlineStore", + request_serializer=feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + ) + return self._stubs["update_feature_online_store"] + + @property + def delete_feature_online_store( + self, + ) -> Callable[ + [feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest], + Awaitable[operations_pb2.Operation], + ]: + r"""Return a callable for the delete feature online store method over gRPC. + + Deletes a single FeatureOnlineStore. The + FeatureOnlineStore must not contain any FeatureViews. + + Returns: + Callable[[~.DeleteFeatureOnlineStoreRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_feature_online_store" not in self._stubs: + self._stubs["delete_feature_online_store"] = ( + self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService/DeleteFeatureOnlineStore", + request_serializer=feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + ) + return self._stubs["delete_feature_online_store"] + + @property + def create_feature_view( + self, + ) -> Callable[ + [feature_online_store_admin_service.CreateFeatureViewRequest], + Awaitable[operations_pb2.Operation], + ]: + r"""Return a callable for the create feature view method over gRPC. + + Creates a new FeatureView in a given + FeatureOnlineStore. + + Returns: + Callable[[~.CreateFeatureViewRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "create_feature_view" not in self._stubs: + self._stubs["create_feature_view"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService/CreateFeatureView", + request_serializer=feature_online_store_admin_service.CreateFeatureViewRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["create_feature_view"] + + @property + def get_feature_view( + self, + ) -> Callable[ + [feature_online_store_admin_service.GetFeatureViewRequest], + Awaitable[feature_view.FeatureView], + ]: + r"""Return a callable for the get feature view method over gRPC. + + Gets details of a single FeatureView. + + Returns: + Callable[[~.GetFeatureViewRequest], + Awaitable[~.FeatureView]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_feature_view" not in self._stubs: + self._stubs["get_feature_view"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService/GetFeatureView", + request_serializer=feature_online_store_admin_service.GetFeatureViewRequest.serialize, + response_deserializer=feature_view.FeatureView.deserialize, + ) + return self._stubs["get_feature_view"] + + @property + def list_feature_views( + self, + ) -> Callable[ + [feature_online_store_admin_service.ListFeatureViewsRequest], + Awaitable[feature_online_store_admin_service.ListFeatureViewsResponse], + ]: + r"""Return a callable for the list feature views method over gRPC. + + Lists FeatureViews in a given FeatureOnlineStore. + + Returns: + Callable[[~.ListFeatureViewsRequest], + Awaitable[~.ListFeatureViewsResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_feature_views" not in self._stubs: + self._stubs["list_feature_views"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService/ListFeatureViews", + request_serializer=feature_online_store_admin_service.ListFeatureViewsRequest.serialize, + response_deserializer=feature_online_store_admin_service.ListFeatureViewsResponse.deserialize, + ) + return self._stubs["list_feature_views"] + + @property + def update_feature_view( + self, + ) -> Callable[ + [feature_online_store_admin_service.UpdateFeatureViewRequest], + Awaitable[operations_pb2.Operation], + ]: + r"""Return a callable for the update feature view method over gRPC. + + Updates the parameters of a single FeatureView. + + Returns: + Callable[[~.UpdateFeatureViewRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "update_feature_view" not in self._stubs: + self._stubs["update_feature_view"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService/UpdateFeatureView", + request_serializer=feature_online_store_admin_service.UpdateFeatureViewRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["update_feature_view"] + + @property + def delete_feature_view( + self, + ) -> Callable[ + [feature_online_store_admin_service.DeleteFeatureViewRequest], + Awaitable[operations_pb2.Operation], + ]: + r"""Return a callable for the delete feature view method over gRPC. + + Deletes a single FeatureView. + + Returns: + Callable[[~.DeleteFeatureViewRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_feature_view" not in self._stubs: + self._stubs["delete_feature_view"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService/DeleteFeatureView", + request_serializer=feature_online_store_admin_service.DeleteFeatureViewRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["delete_feature_view"] + + @property + def sync_feature_view( + self, + ) -> Callable[ + [feature_online_store_admin_service.SyncFeatureViewRequest], + Awaitable[feature_online_store_admin_service.SyncFeatureViewResponse], + ]: + r"""Return a callable for the sync feature view method over gRPC. + + Triggers on-demand sync for the FeatureView. + + Returns: + Callable[[~.SyncFeatureViewRequest], + Awaitable[~.SyncFeatureViewResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "sync_feature_view" not in self._stubs: + self._stubs["sync_feature_view"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService/SyncFeatureView", + request_serializer=feature_online_store_admin_service.SyncFeatureViewRequest.serialize, + response_deserializer=feature_online_store_admin_service.SyncFeatureViewResponse.deserialize, + ) + return self._stubs["sync_feature_view"] + + @property + def get_feature_view_sync( + self, + ) -> Callable[ + [feature_online_store_admin_service.GetFeatureViewSyncRequest], + Awaitable[feature_view_sync.FeatureViewSync], + ]: + r"""Return a callable for the get feature view sync method over gRPC. + + Gets details of a single FeatureViewSync. + + Returns: + Callable[[~.GetFeatureViewSyncRequest], + Awaitable[~.FeatureViewSync]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_feature_view_sync" not in self._stubs: + self._stubs["get_feature_view_sync"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService/GetFeatureViewSync", + request_serializer=feature_online_store_admin_service.GetFeatureViewSyncRequest.serialize, + response_deserializer=feature_view_sync.FeatureViewSync.deserialize, + ) + return self._stubs["get_feature_view_sync"] + + @property + def list_feature_view_syncs( + self, + ) -> Callable[ + [feature_online_store_admin_service.ListFeatureViewSyncsRequest], + Awaitable[feature_online_store_admin_service.ListFeatureViewSyncsResponse], + ]: + r"""Return a callable for the list feature view syncs method over gRPC. + + Lists FeatureViewSyncs in a given FeatureView. + + Returns: + Callable[[~.ListFeatureViewSyncsRequest], + Awaitable[~.ListFeatureViewSyncsResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_feature_view_syncs" not in self._stubs: + self._stubs["list_feature_view_syncs"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService/ListFeatureViewSyncs", + request_serializer=feature_online_store_admin_service.ListFeatureViewSyncsRequest.serialize, + response_deserializer=feature_online_store_admin_service.ListFeatureViewSyncsResponse.deserialize, + ) + return self._stubs["list_feature_view_syncs"] + + def _prep_wrapped_messages(self, client_info): + """Precompute the wrapped methods, overriding the base class method to use async wrappers.""" + self._wrapped_methods = { + self.create_feature_online_store: self._wrap_method( + self.create_feature_online_store, + default_timeout=None, + client_info=client_info, + ), + self.get_feature_online_store: self._wrap_method( + self.get_feature_online_store, + default_timeout=None, + client_info=client_info, + ), + self.list_feature_online_stores: self._wrap_method( + self.list_feature_online_stores, + default_timeout=None, + client_info=client_info, + ), + self.update_feature_online_store: self._wrap_method( + self.update_feature_online_store, + default_timeout=None, + client_info=client_info, + ), + self.delete_feature_online_store: self._wrap_method( + self.delete_feature_online_store, + default_timeout=None, + client_info=client_info, + ), + self.create_feature_view: self._wrap_method( + self.create_feature_view, + default_timeout=None, + client_info=client_info, + ), + self.get_feature_view: self._wrap_method( + self.get_feature_view, + default_timeout=None, + client_info=client_info, + ), + self.list_feature_views: self._wrap_method( + self.list_feature_views, + default_timeout=None, + client_info=client_info, + ), + self.update_feature_view: self._wrap_method( + self.update_feature_view, + default_timeout=None, + client_info=client_info, + ), + self.delete_feature_view: self._wrap_method( + self.delete_feature_view, + default_timeout=None, + client_info=client_info, + ), + self.sync_feature_view: self._wrap_method( + self.sync_feature_view, + default_timeout=None, + client_info=client_info, + ), + self.get_feature_view_sync: self._wrap_method( + self.get_feature_view_sync, + default_timeout=None, + client_info=client_info, + ), + self.list_feature_view_syncs: self._wrap_method( + self.list_feature_view_syncs, + default_timeout=None, + client_info=client_info, + ), + self.get_location: self._wrap_method( + self.get_location, + default_timeout=None, + client_info=client_info, + ), + self.list_locations: self._wrap_method( + self.list_locations, + default_timeout=None, + client_info=client_info, + ), + self.get_iam_policy: self._wrap_method( + self.get_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.set_iam_policy: self._wrap_method( + self.set_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.test_iam_permissions: self._wrap_method( + self.test_iam_permissions, + default_timeout=None, + client_info=client_info, + ), + self.cancel_operation: self._wrap_method( + self.cancel_operation, + default_timeout=None, + client_info=client_info, + ), + self.delete_operation: self._wrap_method( + self.delete_operation, + default_timeout=None, + client_info=client_info, + ), + self.get_operation: self._wrap_method( + self.get_operation, + default_timeout=None, + client_info=client_info, + ), + self.list_operations: self._wrap_method( + self.list_operations, + default_timeout=None, + client_info=client_info, + ), + self.wait_operation: self._wrap_method( + self.wait_operation, + default_timeout=None, + client_info=client_info, + ), + } + + def _wrap_method(self, func, *args, **kwargs): + if self._wrap_with_kind: # pragma: NO COVER + kwargs["kind"] = self.kind + return gapic_v1.method_async.wrap_method(func, *args, **kwargs) + + def close(self): + return self._logged_channel.close() + + @property + def kind(self) -> str: + return "grpc_asyncio" + + @property + def delete_operation( + self, + ) -> Callable[[operations_pb2.DeleteOperationRequest], None]: + r"""Return a callable for the delete_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_operation" not in self._stubs: + self._stubs["delete_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/DeleteOperation", + request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["delete_operation"] + + @property + def cancel_operation( + self, + ) -> Callable[[operations_pb2.CancelOperationRequest], None]: + r"""Return a callable for the cancel_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "cancel_operation" not in self._stubs: + self._stubs["cancel_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/CancelOperation", + request_serializer=operations_pb2.CancelOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["cancel_operation"] + + @property + def wait_operation( + self, + ) -> Callable[[operations_pb2.WaitOperationRequest], None]: + r"""Return a callable for the wait_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "wait_operation" not in self._stubs: + self._stubs["wait_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/WaitOperation", + request_serializer=operations_pb2.WaitOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["wait_operation"] + + @property + def get_operation( + self, + ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]: + r"""Return a callable for the get_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_operation" not in self._stubs: + self._stubs["get_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/GetOperation", + request_serializer=operations_pb2.GetOperationRequest.SerializeToString, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["get_operation"] + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse + ]: + r"""Return a callable for the list_operations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_operations" not in self._stubs: + self._stubs["list_operations"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/ListOperations", + request_serializer=operations_pb2.ListOperationsRequest.SerializeToString, + response_deserializer=operations_pb2.ListOperationsResponse.FromString, + ) + return self._stubs["list_operations"] + + @property + def list_locations( + self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse + ]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_locations" not in self._stubs: + self._stubs["list_locations"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/ListLocations", + request_serializer=locations_pb2.ListLocationsRequest.SerializeToString, + response_deserializer=locations_pb2.ListLocationsResponse.FromString, + ) + return self._stubs["list_locations"] + + @property + def get_location( + self, + ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_location" not in self._stubs: + self._stubs["get_location"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/GetLocation", + request_serializer=locations_pb2.GetLocationRequest.SerializeToString, + response_deserializer=locations_pb2.Location.FromString, + ) + return self._stubs["get_location"] + + @property + def set_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.SetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the set iam policy method over gRPC. + Sets the IAM access control policy on the specified + function. Replaces any existing policy. + Returns: + Callable[[~.SetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "set_iam_policy" not in self._stubs: + self._stubs["set_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/SetIamPolicy", + request_serializer=iam_policy_pb2.SetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["set_iam_policy"] + + @property + def get_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.GetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the get iam policy method over gRPC. + Gets the IAM access control policy for a function. + Returns an empty policy if the function exists and does + not have a policy set. + Returns: + Callable[[~.GetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_iam_policy" not in self._stubs: + self._stubs["get_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/GetIamPolicy", + request_serializer=iam_policy_pb2.GetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["get_iam_policy"] + + @property + def test_iam_permissions( + self, + ) -> Callable[ + [iam_policy_pb2.TestIamPermissionsRequest], + iam_policy_pb2.TestIamPermissionsResponse, + ]: + r"""Return a callable for the test iam permissions method over gRPC. + Tests the specified permissions against the IAM access control + policy for a function. If the function does not exist, this will + return an empty set of permissions, not a NOT_FOUND error. + Returns: + Callable[[~.TestIamPermissionsRequest], + ~.TestIamPermissionsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "test_iam_permissions" not in self._stubs: + self._stubs["test_iam_permissions"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/TestIamPermissions", + request_serializer=iam_policy_pb2.TestIamPermissionsRequest.SerializeToString, + response_deserializer=iam_policy_pb2.TestIamPermissionsResponse.FromString, + ) + return self._stubs["test_iam_permissions"] + + +__all__ = ("FeatureOnlineStoreAdminServiceGrpcAsyncIOTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/rest.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/rest.py new file mode 100644 index 0000000000000000000000000000000000000000..565c115e71e6afe2a0fcced385c955358996fed2 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/rest.py @@ -0,0 +1,6754 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging +import json # type: ignore + +from google.auth.transport.requests import AuthorizedSession # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.api_core import exceptions as core_exceptions +from google.api_core import retry as retries +from google.api_core import rest_helpers +from google.api_core import rest_streaming +from google.api_core import gapic_v1 +import google.protobuf + +from google.protobuf import json_format +from google.api_core import operations_v1 +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore + +from requests import __version__ as requests_version +import dataclasses +from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union +import warnings + + +from google.cloud.aiplatform_v1.types import feature_online_store +from google.cloud.aiplatform_v1.types import feature_online_store_admin_service +from google.cloud.aiplatform_v1.types import feature_view +from google.cloud.aiplatform_v1.types import feature_view_sync +from google.longrunning import operations_pb2 # type: ignore + + +from .rest_base import _BaseFeatureOnlineStoreAdminServiceRestTransport +from .base import DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = logging.getLogger(__name__) + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version, + grpc_version=None, + rest_version=f"requests@{requests_version}", +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +class FeatureOnlineStoreAdminServiceRestInterceptor: + """Interceptor for FeatureOnlineStoreAdminService. + + Interceptors are used to manipulate requests, request metadata, and responses + in arbitrary ways. + Example use cases include: + * Logging + * Verifying requests according to service or custom semantics + * Stripping extraneous information from responses + + These use cases and more can be enabled by injecting an + instance of a custom subclass when constructing the FeatureOnlineStoreAdminServiceRestTransport. + + .. code-block:: python + class MyCustomFeatureOnlineStoreAdminServiceInterceptor(FeatureOnlineStoreAdminServiceRestInterceptor): + def pre_create_feature_online_store(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_create_feature_online_store(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_create_feature_view(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_create_feature_view(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_delete_feature_online_store(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_delete_feature_online_store(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_delete_feature_view(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_delete_feature_view(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_get_feature_online_store(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_get_feature_online_store(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_get_feature_view(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_get_feature_view(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_get_feature_view_sync(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_get_feature_view_sync(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_list_feature_online_stores(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_list_feature_online_stores(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_list_feature_views(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_list_feature_views(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_list_feature_view_syncs(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_list_feature_view_syncs(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_sync_feature_view(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_sync_feature_view(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_update_feature_online_store(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_update_feature_online_store(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_update_feature_view(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_update_feature_view(self, response): + logging.log(f"Received response: {response}") + return response + + transport = FeatureOnlineStoreAdminServiceRestTransport(interceptor=MyCustomFeatureOnlineStoreAdminServiceInterceptor()) + client = FeatureOnlineStoreAdminServiceClient(transport=transport) + + + """ + + def pre_create_feature_online_store( + self, + request: feature_online_store_admin_service.CreateFeatureOnlineStoreRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.CreateFeatureOnlineStoreRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for create_feature_online_store + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + def post_create_feature_online_store( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for create_feature_online_store + + DEPRECATED. Please use the `post_create_feature_online_store_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. This `post_create_feature_online_store` interceptor runs + before the `post_create_feature_online_store_with_metadata` interceptor. + """ + return response + + def post_create_feature_online_store_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for create_feature_online_store + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureOnlineStoreAdminService server but before it is returned to user code. + + We recommend only using this `post_create_feature_online_store_with_metadata` + interceptor in new development instead of the `post_create_feature_online_store` interceptor. + When both interceptors are used, this `post_create_feature_online_store_with_metadata` interceptor runs after the + `post_create_feature_online_store` interceptor. The (possibly modified) response returned by + `post_create_feature_online_store` will be passed to + `post_create_feature_online_store_with_metadata`. + """ + return response, metadata + + def pre_create_feature_view( + self, + request: feature_online_store_admin_service.CreateFeatureViewRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.CreateFeatureViewRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for create_feature_view + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + def post_create_feature_view( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for create_feature_view + + DEPRECATED. Please use the `post_create_feature_view_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. This `post_create_feature_view` interceptor runs + before the `post_create_feature_view_with_metadata` interceptor. + """ + return response + + def post_create_feature_view_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for create_feature_view + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureOnlineStoreAdminService server but before it is returned to user code. + + We recommend only using this `post_create_feature_view_with_metadata` + interceptor in new development instead of the `post_create_feature_view` interceptor. + When both interceptors are used, this `post_create_feature_view_with_metadata` interceptor runs after the + `post_create_feature_view` interceptor. The (possibly modified) response returned by + `post_create_feature_view` will be passed to + `post_create_feature_view_with_metadata`. + """ + return response, metadata + + def pre_delete_feature_online_store( + self, + request: feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for delete_feature_online_store + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + def post_delete_feature_online_store( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for delete_feature_online_store + + DEPRECATED. Please use the `post_delete_feature_online_store_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. This `post_delete_feature_online_store` interceptor runs + before the `post_delete_feature_online_store_with_metadata` interceptor. + """ + return response + + def post_delete_feature_online_store_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for delete_feature_online_store + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureOnlineStoreAdminService server but before it is returned to user code. + + We recommend only using this `post_delete_feature_online_store_with_metadata` + interceptor in new development instead of the `post_delete_feature_online_store` interceptor. + When both interceptors are used, this `post_delete_feature_online_store_with_metadata` interceptor runs after the + `post_delete_feature_online_store` interceptor. The (possibly modified) response returned by + `post_delete_feature_online_store` will be passed to + `post_delete_feature_online_store_with_metadata`. + """ + return response, metadata + + def pre_delete_feature_view( + self, + request: feature_online_store_admin_service.DeleteFeatureViewRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.DeleteFeatureViewRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for delete_feature_view + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + def post_delete_feature_view( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for delete_feature_view + + DEPRECATED. Please use the `post_delete_feature_view_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. This `post_delete_feature_view` interceptor runs + before the `post_delete_feature_view_with_metadata` interceptor. + """ + return response + + def post_delete_feature_view_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for delete_feature_view + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureOnlineStoreAdminService server but before it is returned to user code. + + We recommend only using this `post_delete_feature_view_with_metadata` + interceptor in new development instead of the `post_delete_feature_view` interceptor. + When both interceptors are used, this `post_delete_feature_view_with_metadata` interceptor runs after the + `post_delete_feature_view` interceptor. The (possibly modified) response returned by + `post_delete_feature_view` will be passed to + `post_delete_feature_view_with_metadata`. + """ + return response, metadata + + def pre_get_feature_online_store( + self, + request: feature_online_store_admin_service.GetFeatureOnlineStoreRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.GetFeatureOnlineStoreRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for get_feature_online_store + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + def post_get_feature_online_store( + self, response: feature_online_store.FeatureOnlineStore + ) -> feature_online_store.FeatureOnlineStore: + """Post-rpc interceptor for get_feature_online_store + + DEPRECATED. Please use the `post_get_feature_online_store_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. This `post_get_feature_online_store` interceptor runs + before the `post_get_feature_online_store_with_metadata` interceptor. + """ + return response + + def post_get_feature_online_store_with_metadata( + self, + response: feature_online_store.FeatureOnlineStore, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store.FeatureOnlineStore, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Post-rpc interceptor for get_feature_online_store + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureOnlineStoreAdminService server but before it is returned to user code. + + We recommend only using this `post_get_feature_online_store_with_metadata` + interceptor in new development instead of the `post_get_feature_online_store` interceptor. + When both interceptors are used, this `post_get_feature_online_store_with_metadata` interceptor runs after the + `post_get_feature_online_store` interceptor. The (possibly modified) response returned by + `post_get_feature_online_store` will be passed to + `post_get_feature_online_store_with_metadata`. + """ + return response, metadata + + def pre_get_feature_view( + self, + request: feature_online_store_admin_service.GetFeatureViewRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.GetFeatureViewRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for get_feature_view + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + def post_get_feature_view( + self, response: feature_view.FeatureView + ) -> feature_view.FeatureView: + """Post-rpc interceptor for get_feature_view + + DEPRECATED. Please use the `post_get_feature_view_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. This `post_get_feature_view` interceptor runs + before the `post_get_feature_view_with_metadata` interceptor. + """ + return response + + def post_get_feature_view_with_metadata( + self, + response: feature_view.FeatureView, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[feature_view.FeatureView, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for get_feature_view + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureOnlineStoreAdminService server but before it is returned to user code. + + We recommend only using this `post_get_feature_view_with_metadata` + interceptor in new development instead of the `post_get_feature_view` interceptor. + When both interceptors are used, this `post_get_feature_view_with_metadata` interceptor runs after the + `post_get_feature_view` interceptor. The (possibly modified) response returned by + `post_get_feature_view` will be passed to + `post_get_feature_view_with_metadata`. + """ + return response, metadata + + def pre_get_feature_view_sync( + self, + request: feature_online_store_admin_service.GetFeatureViewSyncRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.GetFeatureViewSyncRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for get_feature_view_sync + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + def post_get_feature_view_sync( + self, response: feature_view_sync.FeatureViewSync + ) -> feature_view_sync.FeatureViewSync: + """Post-rpc interceptor for get_feature_view_sync + + DEPRECATED. Please use the `post_get_feature_view_sync_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. This `post_get_feature_view_sync` interceptor runs + before the `post_get_feature_view_sync_with_metadata` interceptor. + """ + return response + + def post_get_feature_view_sync_with_metadata( + self, + response: feature_view_sync.FeatureViewSync, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_view_sync.FeatureViewSync, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Post-rpc interceptor for get_feature_view_sync + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureOnlineStoreAdminService server but before it is returned to user code. + + We recommend only using this `post_get_feature_view_sync_with_metadata` + interceptor in new development instead of the `post_get_feature_view_sync` interceptor. + When both interceptors are used, this `post_get_feature_view_sync_with_metadata` interceptor runs after the + `post_get_feature_view_sync` interceptor. The (possibly modified) response returned by + `post_get_feature_view_sync` will be passed to + `post_get_feature_view_sync_with_metadata`. + """ + return response, metadata + + def pre_list_feature_online_stores( + self, + request: feature_online_store_admin_service.ListFeatureOnlineStoresRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.ListFeatureOnlineStoresRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for list_feature_online_stores + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + def post_list_feature_online_stores( + self, + response: feature_online_store_admin_service.ListFeatureOnlineStoresResponse, + ) -> feature_online_store_admin_service.ListFeatureOnlineStoresResponse: + """Post-rpc interceptor for list_feature_online_stores + + DEPRECATED. Please use the `post_list_feature_online_stores_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. This `post_list_feature_online_stores` interceptor runs + before the `post_list_feature_online_stores_with_metadata` interceptor. + """ + return response + + def post_list_feature_online_stores_with_metadata( + self, + response: feature_online_store_admin_service.ListFeatureOnlineStoresResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.ListFeatureOnlineStoresResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for list_feature_online_stores + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureOnlineStoreAdminService server but before it is returned to user code. + + We recommend only using this `post_list_feature_online_stores_with_metadata` + interceptor in new development instead of the `post_list_feature_online_stores` interceptor. + When both interceptors are used, this `post_list_feature_online_stores_with_metadata` interceptor runs after the + `post_list_feature_online_stores` interceptor. The (possibly modified) response returned by + `post_list_feature_online_stores` will be passed to + `post_list_feature_online_stores_with_metadata`. + """ + return response, metadata + + def pre_list_feature_views( + self, + request: feature_online_store_admin_service.ListFeatureViewsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.ListFeatureViewsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for list_feature_views + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + def post_list_feature_views( + self, response: feature_online_store_admin_service.ListFeatureViewsResponse + ) -> feature_online_store_admin_service.ListFeatureViewsResponse: + """Post-rpc interceptor for list_feature_views + + DEPRECATED. Please use the `post_list_feature_views_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. This `post_list_feature_views` interceptor runs + before the `post_list_feature_views_with_metadata` interceptor. + """ + return response + + def post_list_feature_views_with_metadata( + self, + response: feature_online_store_admin_service.ListFeatureViewsResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.ListFeatureViewsResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for list_feature_views + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureOnlineStoreAdminService server but before it is returned to user code. + + We recommend only using this `post_list_feature_views_with_metadata` + interceptor in new development instead of the `post_list_feature_views` interceptor. + When both interceptors are used, this `post_list_feature_views_with_metadata` interceptor runs after the + `post_list_feature_views` interceptor. The (possibly modified) response returned by + `post_list_feature_views` will be passed to + `post_list_feature_views_with_metadata`. + """ + return response, metadata + + def pre_list_feature_view_syncs( + self, + request: feature_online_store_admin_service.ListFeatureViewSyncsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.ListFeatureViewSyncsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for list_feature_view_syncs + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + def post_list_feature_view_syncs( + self, response: feature_online_store_admin_service.ListFeatureViewSyncsResponse + ) -> feature_online_store_admin_service.ListFeatureViewSyncsResponse: + """Post-rpc interceptor for list_feature_view_syncs + + DEPRECATED. Please use the `post_list_feature_view_syncs_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. This `post_list_feature_view_syncs` interceptor runs + before the `post_list_feature_view_syncs_with_metadata` interceptor. + """ + return response + + def post_list_feature_view_syncs_with_metadata( + self, + response: feature_online_store_admin_service.ListFeatureViewSyncsResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.ListFeatureViewSyncsResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for list_feature_view_syncs + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureOnlineStoreAdminService server but before it is returned to user code. + + We recommend only using this `post_list_feature_view_syncs_with_metadata` + interceptor in new development instead of the `post_list_feature_view_syncs` interceptor. + When both interceptors are used, this `post_list_feature_view_syncs_with_metadata` interceptor runs after the + `post_list_feature_view_syncs` interceptor. The (possibly modified) response returned by + `post_list_feature_view_syncs` will be passed to + `post_list_feature_view_syncs_with_metadata`. + """ + return response, metadata + + def pre_sync_feature_view( + self, + request: feature_online_store_admin_service.SyncFeatureViewRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.SyncFeatureViewRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for sync_feature_view + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + def post_sync_feature_view( + self, response: feature_online_store_admin_service.SyncFeatureViewResponse + ) -> feature_online_store_admin_service.SyncFeatureViewResponse: + """Post-rpc interceptor for sync_feature_view + + DEPRECATED. Please use the `post_sync_feature_view_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. This `post_sync_feature_view` interceptor runs + before the `post_sync_feature_view_with_metadata` interceptor. + """ + return response + + def post_sync_feature_view_with_metadata( + self, + response: feature_online_store_admin_service.SyncFeatureViewResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.SyncFeatureViewResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for sync_feature_view + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureOnlineStoreAdminService server but before it is returned to user code. + + We recommend only using this `post_sync_feature_view_with_metadata` + interceptor in new development instead of the `post_sync_feature_view` interceptor. + When both interceptors are used, this `post_sync_feature_view_with_metadata` interceptor runs after the + `post_sync_feature_view` interceptor. The (possibly modified) response returned by + `post_sync_feature_view` will be passed to + `post_sync_feature_view_with_metadata`. + """ + return response, metadata + + def pre_update_feature_online_store( + self, + request: feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for update_feature_online_store + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + def post_update_feature_online_store( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for update_feature_online_store + + DEPRECATED. Please use the `post_update_feature_online_store_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. This `post_update_feature_online_store` interceptor runs + before the `post_update_feature_online_store_with_metadata` interceptor. + """ + return response + + def post_update_feature_online_store_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for update_feature_online_store + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureOnlineStoreAdminService server but before it is returned to user code. + + We recommend only using this `post_update_feature_online_store_with_metadata` + interceptor in new development instead of the `post_update_feature_online_store` interceptor. + When both interceptors are used, this `post_update_feature_online_store_with_metadata` interceptor runs after the + `post_update_feature_online_store` interceptor. The (possibly modified) response returned by + `post_update_feature_online_store` will be passed to + `post_update_feature_online_store_with_metadata`. + """ + return response, metadata + + def pre_update_feature_view( + self, + request: feature_online_store_admin_service.UpdateFeatureViewRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.UpdateFeatureViewRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for update_feature_view + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + def post_update_feature_view( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for update_feature_view + + DEPRECATED. Please use the `post_update_feature_view_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. This `post_update_feature_view` interceptor runs + before the `post_update_feature_view_with_metadata` interceptor. + """ + return response + + def post_update_feature_view_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for update_feature_view + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureOnlineStoreAdminService server but before it is returned to user code. + + We recommend only using this `post_update_feature_view_with_metadata` + interceptor in new development instead of the `post_update_feature_view` interceptor. + When both interceptors are used, this `post_update_feature_view_with_metadata` interceptor runs after the + `post_update_feature_view` interceptor. The (possibly modified) response returned by + `post_update_feature_view` will be passed to + `post_update_feature_view_with_metadata`. + """ + return response, metadata + + def pre_get_location( + self, + request: locations_pb2.GetLocationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.GetLocationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_location + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + def post_get_location( + self, response: locations_pb2.Location + ) -> locations_pb2.Location: + """Post-rpc interceptor for get_location + + Override in a subclass to manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. + """ + return response + + def pre_list_locations( + self, + request: locations_pb2.ListLocationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.ListLocationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_locations + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + def post_list_locations( + self, response: locations_pb2.ListLocationsResponse + ) -> locations_pb2.ListLocationsResponse: + """Post-rpc interceptor for list_locations + + Override in a subclass to manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. + """ + return response + + def pre_get_iam_policy( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.GetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + def post_get_iam_policy(self, response: policy_pb2.Policy) -> policy_pb2.Policy: + """Post-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. + """ + return response + + def pre_set_iam_policy( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.SetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + def post_set_iam_policy(self, response: policy_pb2.Policy) -> policy_pb2.Policy: + """Post-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. + """ + return response + + def pre_test_iam_permissions( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.TestIamPermissionsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + def post_test_iam_permissions( + self, response: iam_policy_pb2.TestIamPermissionsResponse + ) -> iam_policy_pb2.TestIamPermissionsResponse: + """Post-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. + """ + return response + + def pre_cancel_operation( + self, + request: operations_pb2.CancelOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.CancelOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + def post_cancel_operation(self, response: None) -> None: + """Post-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. + """ + return response + + def pre_delete_operation( + self, + request: operations_pb2.DeleteOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.DeleteOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for delete_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + def post_delete_operation(self, response: None) -> None: + """Post-rpc interceptor for delete_operation + + Override in a subclass to manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. + """ + return response + + def pre_get_operation( + self, + request: operations_pb2.GetOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.GetOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + def post_get_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for get_operation + + Override in a subclass to manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. + """ + return response + + def pre_list_operations( + self, + request: operations_pb2.ListOperationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.ListOperationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_operations + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + def post_list_operations( + self, response: operations_pb2.ListOperationsResponse + ) -> operations_pb2.ListOperationsResponse: + """Post-rpc interceptor for list_operations + + Override in a subclass to manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. + """ + return response + + def pre_wait_operation( + self, + request: operations_pb2.WaitOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.WaitOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for wait_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + def post_wait_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for wait_operation + + Override in a subclass to manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. + """ + return response + + +@dataclasses.dataclass +class FeatureOnlineStoreAdminServiceRestStub: + _session: AuthorizedSession + _host: str + _interceptor: FeatureOnlineStoreAdminServiceRestInterceptor + + +class FeatureOnlineStoreAdminServiceRestTransport( + _BaseFeatureOnlineStoreAdminServiceRestTransport +): + """REST backend synchronous transport for FeatureOnlineStoreAdminService. + + The service that handles CRUD and List for resources for + FeatureOnlineStore. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + """ + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + url_scheme: str = "https", + interceptor: Optional[FeatureOnlineStoreAdminServiceRestInterceptor] = None, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. This argument will be + removed in the next major version of this library. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if ``channel`` is provided. + client_cert_source_for_mtls (Callable[[], Tuple[bytes, bytes]]): Client + certificate to configure mutual TLS HTTP channel. It is ignored + if ``channel`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + url_scheme: the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + # TODO(yon-mg): resolve other ctor params i.e. scopes, quota, etc. + # TODO: When custom host (api_endpoint) is set, `scopes` must *also* be set on the + # credentials object + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + url_scheme=url_scheme, + api_audience=api_audience, + ) + self._session = AuthorizedSession( + self._credentials, default_host=self.DEFAULT_HOST + ) + self._operations_client: Optional[operations_v1.AbstractOperationsClient] = None + if client_cert_source_for_mtls: + self._session.configure_mtls_channel(client_cert_source_for_mtls) + self._interceptor = ( + interceptor or FeatureOnlineStoreAdminServiceRestInterceptor() + ) + self._prep_wrapped_messages(client_info) + + @property + def operations_client(self) -> operations_v1.AbstractOperationsClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Only create a new client if we do not already have one. + if self._operations_client is None: + http_options: Dict[str, List[Dict[str, str]]] = { + "google.longrunning.Operations.CancelOperation": [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, 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"/v1/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:wait", + }, + ], + } + + rest_transport = operations_v1.OperationsRestTransport( + host=self._host, + # use the credentials which are saved + credentials=self._credentials, + scopes=self._scopes, + http_options=http_options, + path_prefix="v1", + ) + + self._operations_client = operations_v1.AbstractOperationsClient( + transport=rest_transport + ) + + # Return the client from cache. + return self._operations_client + + class _CreateFeatureOnlineStore( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCreateFeatureOnlineStore, + FeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash( + "FeatureOnlineStoreAdminServiceRestTransport.CreateFeatureOnlineStore" + ) + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: feature_online_store_admin_service.CreateFeatureOnlineStoreRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the create feature online + store method over HTTP. + + Args: + request (~.feature_online_store_admin_service.CreateFeatureOnlineStoreRequest): + The request object. Request message for + [FeatureOnlineStoreAdminService.CreateFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.CreateFeatureOnlineStore]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCreateFeatureOnlineStore._get_http_options() + ) + + request, metadata = self._interceptor.pre_create_feature_online_store( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCreateFeatureOnlineStore._get_transcoded_request( + http_options, request + ) + + body = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCreateFeatureOnlineStore._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCreateFeatureOnlineStore._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.CreateFeatureOnlineStore", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "CreateFeatureOnlineStore", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureOnlineStoreAdminServiceRestTransport._CreateFeatureOnlineStore._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_create_feature_online_store(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_create_feature_online_store_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.create_feature_online_store", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "CreateFeatureOnlineStore", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _CreateFeatureView( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCreateFeatureView, + FeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash("FeatureOnlineStoreAdminServiceRestTransport.CreateFeatureView") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: feature_online_store_admin_service.CreateFeatureViewRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the create feature view method over HTTP. + + Args: + request (~.feature_online_store_admin_service.CreateFeatureViewRequest): + The request object. Request message for + [FeatureOnlineStoreAdminService.CreateFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.CreateFeatureView]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCreateFeatureView._get_http_options() + ) + + request, metadata = self._interceptor.pre_create_feature_view( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCreateFeatureView._get_transcoded_request( + http_options, request + ) + + body = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCreateFeatureView._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCreateFeatureView._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.CreateFeatureView", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "CreateFeatureView", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureOnlineStoreAdminServiceRestTransport._CreateFeatureView._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_create_feature_view(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_create_feature_view_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.create_feature_view", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "CreateFeatureView", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _DeleteFeatureOnlineStore( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseDeleteFeatureOnlineStore, + FeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash( + "FeatureOnlineStoreAdminServiceRestTransport.DeleteFeatureOnlineStore" + ) + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the delete feature online + store method over HTTP. + + Args: + request (~.feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest): + The request object. Request message for + [FeatureOnlineStoreAdminService.DeleteFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.DeleteFeatureOnlineStore]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseDeleteFeatureOnlineStore._get_http_options() + ) + + request, metadata = self._interceptor.pre_delete_feature_online_store( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseDeleteFeatureOnlineStore._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseDeleteFeatureOnlineStore._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.DeleteFeatureOnlineStore", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "DeleteFeatureOnlineStore", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureOnlineStoreAdminServiceRestTransport._DeleteFeatureOnlineStore._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_delete_feature_online_store(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_delete_feature_online_store_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.delete_feature_online_store", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "DeleteFeatureOnlineStore", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _DeleteFeatureView( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseDeleteFeatureView, + FeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash("FeatureOnlineStoreAdminServiceRestTransport.DeleteFeatureView") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: feature_online_store_admin_service.DeleteFeatureViewRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the delete feature view method over HTTP. + + Args: + request (~.feature_online_store_admin_service.DeleteFeatureViewRequest): + The request object. Request message for + [FeatureOnlineStoreAdminService.DeleteFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.DeleteFeatureView]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseDeleteFeatureView._get_http_options() + ) + + request, metadata = self._interceptor.pre_delete_feature_view( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseDeleteFeatureView._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseDeleteFeatureView._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.DeleteFeatureView", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "DeleteFeatureView", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureOnlineStoreAdminServiceRestTransport._DeleteFeatureView._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_delete_feature_view(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_delete_feature_view_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.delete_feature_view", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "DeleteFeatureView", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _GetFeatureOnlineStore( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetFeatureOnlineStore, + FeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash( + "FeatureOnlineStoreAdminServiceRestTransport.GetFeatureOnlineStore" + ) + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: feature_online_store_admin_service.GetFeatureOnlineStoreRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_online_store.FeatureOnlineStore: + r"""Call the get feature online store method over HTTP. + + Args: + request (~.feature_online_store_admin_service.GetFeatureOnlineStoreRequest): + The request object. Request message for + [FeatureOnlineStoreAdminService.GetFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.GetFeatureOnlineStore]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.feature_online_store.FeatureOnlineStore: + Vertex AI Feature Online Store + provides a centralized repository for + serving ML features and embedding + indexes at low latency. The Feature + Online Store is a top-level container. + + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetFeatureOnlineStore._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_feature_online_store( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetFeatureOnlineStore._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetFeatureOnlineStore._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.GetFeatureOnlineStore", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "GetFeatureOnlineStore", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureOnlineStoreAdminServiceRestTransport._GetFeatureOnlineStore._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = feature_online_store.FeatureOnlineStore() + pb_resp = feature_online_store.FeatureOnlineStore.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_get_feature_online_store(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_get_feature_online_store_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = feature_online_store.FeatureOnlineStore.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.get_feature_online_store", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "GetFeatureOnlineStore", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _GetFeatureView( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetFeatureView, + FeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash("FeatureOnlineStoreAdminServiceRestTransport.GetFeatureView") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: feature_online_store_admin_service.GetFeatureViewRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_view.FeatureView: + r"""Call the get feature view method over HTTP. + + Args: + request (~.feature_online_store_admin_service.GetFeatureViewRequest): + The request object. Request message for + [FeatureOnlineStoreAdminService.GetFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.GetFeatureView]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.feature_view.FeatureView: + FeatureView is representation of + values that the FeatureOnlineStore will + serve based on its syncConfig. + + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetFeatureView._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_feature_view( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetFeatureView._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetFeatureView._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.GetFeatureView", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "GetFeatureView", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureOnlineStoreAdminServiceRestTransport._GetFeatureView._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = feature_view.FeatureView() + pb_resp = feature_view.FeatureView.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_get_feature_view(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_get_feature_view_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = feature_view.FeatureView.to_json(response) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.get_feature_view", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "GetFeatureView", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _GetFeatureViewSync( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetFeatureViewSync, + FeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash( + "FeatureOnlineStoreAdminServiceRestTransport.GetFeatureViewSync" + ) + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: feature_online_store_admin_service.GetFeatureViewSyncRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_view_sync.FeatureViewSync: + r"""Call the get feature view sync method over HTTP. + + Args: + request (~.feature_online_store_admin_service.GetFeatureViewSyncRequest): + The request object. Request message for + [FeatureOnlineStoreAdminService.GetFeatureViewSync][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.GetFeatureViewSync]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.feature_view_sync.FeatureViewSync: + FeatureViewSync is a representation + of sync operation which copies data from + data source to Feature View in Online + Store. + + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetFeatureViewSync._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_feature_view_sync( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetFeatureViewSync._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetFeatureViewSync._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.GetFeatureViewSync", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "GetFeatureViewSync", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureOnlineStoreAdminServiceRestTransport._GetFeatureViewSync._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = feature_view_sync.FeatureViewSync() + pb_resp = feature_view_sync.FeatureViewSync.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_get_feature_view_sync(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_get_feature_view_sync_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = feature_view_sync.FeatureViewSync.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.get_feature_view_sync", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "GetFeatureViewSync", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _ListFeatureOnlineStores( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListFeatureOnlineStores, + FeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash( + "FeatureOnlineStoreAdminServiceRestTransport.ListFeatureOnlineStores" + ) + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: feature_online_store_admin_service.ListFeatureOnlineStoresRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_online_store_admin_service.ListFeatureOnlineStoresResponse: + r"""Call the list feature online + stores method over HTTP. + + Args: + request (~.feature_online_store_admin_service.ListFeatureOnlineStoresRequest): + The request object. Request message for + [FeatureOnlineStoreAdminService.ListFeatureOnlineStores][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureOnlineStores]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.feature_online_store_admin_service.ListFeatureOnlineStoresResponse: + Response message for + [FeatureOnlineStoreAdminService.ListFeatureOnlineStores][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureOnlineStores]. + + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListFeatureOnlineStores._get_http_options() + ) + + request, metadata = self._interceptor.pre_list_feature_online_stores( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListFeatureOnlineStores._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListFeatureOnlineStores._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.ListFeatureOnlineStores", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "ListFeatureOnlineStores", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureOnlineStoreAdminServiceRestTransport._ListFeatureOnlineStores._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = feature_online_store_admin_service.ListFeatureOnlineStoresResponse() + pb_resp = ( + feature_online_store_admin_service.ListFeatureOnlineStoresResponse.pb( + resp + ) + ) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_list_feature_online_stores(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_list_feature_online_stores_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = feature_online_store_admin_service.ListFeatureOnlineStoresResponse.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.list_feature_online_stores", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "ListFeatureOnlineStores", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _ListFeatureViews( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListFeatureViews, + FeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash("FeatureOnlineStoreAdminServiceRestTransport.ListFeatureViews") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: feature_online_store_admin_service.ListFeatureViewsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_online_store_admin_service.ListFeatureViewsResponse: + r"""Call the list feature views method over HTTP. + + Args: + request (~.feature_online_store_admin_service.ListFeatureViewsRequest): + The request object. Request message for + [FeatureOnlineStoreAdminService.ListFeatureViews][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViews]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.feature_online_store_admin_service.ListFeatureViewsResponse: + Response message for + [FeatureOnlineStoreAdminService.ListFeatureViews][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViews]. + + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListFeatureViews._get_http_options() + ) + + request, metadata = self._interceptor.pre_list_feature_views( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListFeatureViews._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListFeatureViews._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.ListFeatureViews", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "ListFeatureViews", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureOnlineStoreAdminServiceRestTransport._ListFeatureViews._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = feature_online_store_admin_service.ListFeatureViewsResponse() + pb_resp = feature_online_store_admin_service.ListFeatureViewsResponse.pb( + resp + ) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_list_feature_views(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_list_feature_views_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = feature_online_store_admin_service.ListFeatureViewsResponse.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.list_feature_views", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "ListFeatureViews", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _ListFeatureViewSyncs( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListFeatureViewSyncs, + FeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash( + "FeatureOnlineStoreAdminServiceRestTransport.ListFeatureViewSyncs" + ) + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: feature_online_store_admin_service.ListFeatureViewSyncsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_online_store_admin_service.ListFeatureViewSyncsResponse: + r"""Call the list feature view syncs method over HTTP. + + Args: + request (~.feature_online_store_admin_service.ListFeatureViewSyncsRequest): + The request object. Request message for + [FeatureOnlineStoreAdminService.ListFeatureViewSyncs][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViewSyncs]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.feature_online_store_admin_service.ListFeatureViewSyncsResponse: + Response message for + [FeatureOnlineStoreAdminService.ListFeatureViewSyncs][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViewSyncs]. + + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListFeatureViewSyncs._get_http_options() + ) + + request, metadata = self._interceptor.pre_list_feature_view_syncs( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListFeatureViewSyncs._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListFeatureViewSyncs._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.ListFeatureViewSyncs", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "ListFeatureViewSyncs", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureOnlineStoreAdminServiceRestTransport._ListFeatureViewSyncs._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = feature_online_store_admin_service.ListFeatureViewSyncsResponse() + pb_resp = ( + feature_online_store_admin_service.ListFeatureViewSyncsResponse.pb(resp) + ) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_list_feature_view_syncs(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_list_feature_view_syncs_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = feature_online_store_admin_service.ListFeatureViewSyncsResponse.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.list_feature_view_syncs", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "ListFeatureViewSyncs", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _SyncFeatureView( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseSyncFeatureView, + FeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash("FeatureOnlineStoreAdminServiceRestTransport.SyncFeatureView") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: feature_online_store_admin_service.SyncFeatureViewRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_online_store_admin_service.SyncFeatureViewResponse: + r"""Call the sync feature view method over HTTP. + + Args: + request (~.feature_online_store_admin_service.SyncFeatureViewRequest): + The request object. Request message for + [FeatureOnlineStoreAdminService.SyncFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.SyncFeatureView]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.feature_online_store_admin_service.SyncFeatureViewResponse: + Response message for + [FeatureOnlineStoreAdminService.SyncFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.SyncFeatureView]. + + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseSyncFeatureView._get_http_options() + ) + + request, metadata = self._interceptor.pre_sync_feature_view( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseSyncFeatureView._get_transcoded_request( + http_options, request + ) + + body = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseSyncFeatureView._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseSyncFeatureView._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.SyncFeatureView", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "SyncFeatureView", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureOnlineStoreAdminServiceRestTransport._SyncFeatureView._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = feature_online_store_admin_service.SyncFeatureViewResponse() + pb_resp = feature_online_store_admin_service.SyncFeatureViewResponse.pb( + resp + ) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_sync_feature_view(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_sync_feature_view_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = feature_online_store_admin_service.SyncFeatureViewResponse.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.sync_feature_view", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "SyncFeatureView", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _UpdateFeatureOnlineStore( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseUpdateFeatureOnlineStore, + FeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash( + "FeatureOnlineStoreAdminServiceRestTransport.UpdateFeatureOnlineStore" + ) + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the update feature online + store method over HTTP. + + Args: + request (~.feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest): + The request object. Request message for + [FeatureOnlineStoreAdminService.UpdateFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.UpdateFeatureOnlineStore]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseUpdateFeatureOnlineStore._get_http_options() + ) + + request, metadata = self._interceptor.pre_update_feature_online_store( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseUpdateFeatureOnlineStore._get_transcoded_request( + http_options, request + ) + + body = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseUpdateFeatureOnlineStore._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseUpdateFeatureOnlineStore._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.UpdateFeatureOnlineStore", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "UpdateFeatureOnlineStore", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureOnlineStoreAdminServiceRestTransport._UpdateFeatureOnlineStore._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_update_feature_online_store(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_update_feature_online_store_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.update_feature_online_store", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "UpdateFeatureOnlineStore", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _UpdateFeatureView( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseUpdateFeatureView, + FeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash("FeatureOnlineStoreAdminServiceRestTransport.UpdateFeatureView") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: feature_online_store_admin_service.UpdateFeatureViewRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the update feature view method over HTTP. + + Args: + request (~.feature_online_store_admin_service.UpdateFeatureViewRequest): + The request object. Request message for + [FeatureOnlineStoreAdminService.UpdateFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.UpdateFeatureView]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseUpdateFeatureView._get_http_options() + ) + + request, metadata = self._interceptor.pre_update_feature_view( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseUpdateFeatureView._get_transcoded_request( + http_options, request + ) + + body = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseUpdateFeatureView._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseUpdateFeatureView._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.UpdateFeatureView", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "UpdateFeatureView", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureOnlineStoreAdminServiceRestTransport._UpdateFeatureView._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_update_feature_view(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_update_feature_view_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.update_feature_view", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "UpdateFeatureView", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + @property + def create_feature_online_store( + self, + ) -> Callable[ + [feature_online_store_admin_service.CreateFeatureOnlineStoreRequest], + operations_pb2.Operation, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._CreateFeatureOnlineStore(self._session, self._host, self._interceptor) # type: ignore + + @property + def create_feature_view( + self, + ) -> Callable[ + [feature_online_store_admin_service.CreateFeatureViewRequest], + operations_pb2.Operation, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._CreateFeatureView(self._session, self._host, self._interceptor) # type: ignore + + @property + def delete_feature_online_store( + self, + ) -> Callable[ + [feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest], + operations_pb2.Operation, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._DeleteFeatureOnlineStore(self._session, self._host, self._interceptor) # type: ignore + + @property + def delete_feature_view( + self, + ) -> Callable[ + [feature_online_store_admin_service.DeleteFeatureViewRequest], + operations_pb2.Operation, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._DeleteFeatureView(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_feature_online_store( + self, + ) -> Callable[ + [feature_online_store_admin_service.GetFeatureOnlineStoreRequest], + feature_online_store.FeatureOnlineStore, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._GetFeatureOnlineStore(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_feature_view( + self, + ) -> Callable[ + [feature_online_store_admin_service.GetFeatureViewRequest], + feature_view.FeatureView, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._GetFeatureView(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_feature_view_sync( + self, + ) -> Callable[ + [feature_online_store_admin_service.GetFeatureViewSyncRequest], + feature_view_sync.FeatureViewSync, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._GetFeatureViewSync(self._session, self._host, self._interceptor) # type: ignore + + @property + def list_feature_online_stores( + self, + ) -> Callable[ + [feature_online_store_admin_service.ListFeatureOnlineStoresRequest], + feature_online_store_admin_service.ListFeatureOnlineStoresResponse, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._ListFeatureOnlineStores(self._session, self._host, self._interceptor) # type: ignore + + @property + def list_feature_views( + self, + ) -> Callable[ + [feature_online_store_admin_service.ListFeatureViewsRequest], + feature_online_store_admin_service.ListFeatureViewsResponse, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._ListFeatureViews(self._session, self._host, self._interceptor) # type: ignore + + @property + def list_feature_view_syncs( + self, + ) -> Callable[ + [feature_online_store_admin_service.ListFeatureViewSyncsRequest], + feature_online_store_admin_service.ListFeatureViewSyncsResponse, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._ListFeatureViewSyncs(self._session, self._host, self._interceptor) # type: ignore + + @property + def sync_feature_view( + self, + ) -> Callable[ + [feature_online_store_admin_service.SyncFeatureViewRequest], + feature_online_store_admin_service.SyncFeatureViewResponse, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._SyncFeatureView(self._session, self._host, self._interceptor) # type: ignore + + @property + def update_feature_online_store( + self, + ) -> Callable[ + [feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest], + operations_pb2.Operation, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._UpdateFeatureOnlineStore(self._session, self._host, self._interceptor) # type: ignore + + @property + def update_feature_view( + self, + ) -> Callable[ + [feature_online_store_admin_service.UpdateFeatureViewRequest], + operations_pb2.Operation, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._UpdateFeatureView(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_location(self): + return self._GetLocation(self._session, self._host, self._interceptor) # type: ignore + + class _GetLocation( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetLocation, + FeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash("FeatureOnlineStoreAdminServiceRestTransport.GetLocation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: locations_pb2.GetLocationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Call the get location method over HTTP. + + Args: + request (locations_pb2.GetLocationRequest): + The request object for GetLocation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.Location: Response from GetLocation method. + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetLocation._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_location(request, metadata) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetLocation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetLocation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "GetLocation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + FeatureOnlineStoreAdminServiceRestTransport._GetLocation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = locations_pb2.Location() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_get_location(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "GetLocation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_locations(self): + return self._ListLocations(self._session, self._host, self._interceptor) # type: ignore + + class _ListLocations( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListLocations, + FeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash("FeatureOnlineStoreAdminServiceRestTransport.ListLocations") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: locations_pb2.ListLocationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Call the list locations method over HTTP. + + Args: + request (locations_pb2.ListLocationsRequest): + The request object for ListLocations method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.ListLocationsResponse: Response from ListLocations method. + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListLocations._get_http_options() + ) + + request, metadata = self._interceptor.pre_list_locations(request, metadata) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListLocations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListLocations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "ListLocations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureOnlineStoreAdminServiceRestTransport._ListLocations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = locations_pb2.ListLocationsResponse() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_list_locations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "ListLocations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def get_iam_policy(self): + return self._GetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _GetIamPolicy( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetIamPolicy, + FeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash("FeatureOnlineStoreAdminServiceRestTransport.GetIamPolicy") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the get iam policy method over HTTP. + + Args: + request (iam_policy_pb2.GetIamPolicyRequest): + The request object for GetIamPolicy method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from GetIamPolicy method. + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetIamPolicy._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_iam_policy(request, metadata) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetIamPolicy._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "GetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + FeatureOnlineStoreAdminServiceRestTransport._GetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_get_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "GetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def set_iam_policy(self): + return self._SetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _SetIamPolicy( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseSetIamPolicy, + FeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash("FeatureOnlineStoreAdminServiceRestTransport.SetIamPolicy") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the set iam policy method over HTTP. + + Args: + request (iam_policy_pb2.SetIamPolicyRequest): + The request object for SetIamPolicy method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from SetIamPolicy method. + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseSetIamPolicy._get_http_options() + ) + + request, metadata = self._interceptor.pre_set_iam_policy(request, metadata) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseSetIamPolicy._get_transcoded_request( + http_options, request + ) + + body = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseSetIamPolicy._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseSetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "SetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + FeatureOnlineStoreAdminServiceRestTransport._SetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_set_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "SetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def test_iam_permissions(self): + return self._TestIamPermissions(self._session, self._host, self._interceptor) # type: ignore + + class _TestIamPermissions( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseTestIamPermissions, + FeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash( + "FeatureOnlineStoreAdminServiceRestTransport.TestIamPermissions" + ) + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Call the test iam permissions method over HTTP. + + Args: + request (iam_policy_pb2.TestIamPermissionsRequest): + The request object for TestIamPermissions method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + iam_policy_pb2.TestIamPermissionsResponse: Response from TestIamPermissions method. + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseTestIamPermissions._get_http_options() + ) + + request, metadata = self._interceptor.pre_test_iam_permissions( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseTestIamPermissions._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseTestIamPermissions._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "TestIamPermissions", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureOnlineStoreAdminServiceRestTransport._TestIamPermissions._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = iam_policy_pb2.TestIamPermissionsResponse() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_test_iam_permissions(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "TestIamPermissions", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def cancel_operation(self): + return self._CancelOperation(self._session, self._host, self._interceptor) # type: ignore + + class _CancelOperation( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCancelOperation, + FeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash("FeatureOnlineStoreAdminServiceRestTransport.CancelOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.CancelOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the cancel operation method over HTTP. + + Args: + request (operations_pb2.CancelOperationRequest): + The request object for CancelOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCancelOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_cancel_operation( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCancelOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCancelOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.CancelOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "CancelOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureOnlineStoreAdminServiceRestTransport._CancelOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + return self._interceptor.post_cancel_operation(None) + + @property + def delete_operation(self): + return self._DeleteOperation(self._session, self._host, self._interceptor) # type: ignore + + class _DeleteOperation( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseDeleteOperation, + FeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash("FeatureOnlineStoreAdminServiceRestTransport.DeleteOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.DeleteOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the delete operation method over HTTP. + + Args: + request (operations_pb2.DeleteOperationRequest): + The request object for DeleteOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseDeleteOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_delete_operation( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseDeleteOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseDeleteOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.DeleteOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "DeleteOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureOnlineStoreAdminServiceRestTransport._DeleteOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + return self._interceptor.post_delete_operation(None) + + @property + def get_operation(self): + return self._GetOperation(self._session, self._host, self._interceptor) # type: ignore + + class _GetOperation( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetOperation, + FeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash("FeatureOnlineStoreAdminServiceRestTransport.GetOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.GetOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the get operation method over HTTP. + + Args: + request (operations_pb2.GetOperationRequest): + The request object for GetOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from GetOperation method. + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_operation(request, metadata) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "GetOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + FeatureOnlineStoreAdminServiceRestTransport._GetOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_get_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "GetOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_operations(self): + return self._ListOperations(self._session, self._host, self._interceptor) # type: ignore + + class _ListOperations( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListOperations, + FeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash("FeatureOnlineStoreAdminServiceRestTransport.ListOperations") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.ListOperationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Call the list operations method over HTTP. + + Args: + request (operations_pb2.ListOperationsRequest): + The request object for ListOperations method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.ListOperationsResponse: Response from ListOperations method. + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListOperations._get_http_options() + ) + + request, metadata = self._interceptor.pre_list_operations(request, metadata) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListOperations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListOperations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "ListOperations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureOnlineStoreAdminServiceRestTransport._ListOperations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = operations_pb2.ListOperationsResponse() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_list_operations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "ListOperations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def wait_operation(self): + return self._WaitOperation(self._session, self._host, self._interceptor) # type: ignore + + class _WaitOperation( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseWaitOperation, + FeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash("FeatureOnlineStoreAdminServiceRestTransport.WaitOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.WaitOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the wait operation method over HTTP. + + Args: + request (operations_pb2.WaitOperationRequest): + The request object for WaitOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from WaitOperation method. + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseWaitOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_wait_operation(request, metadata) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseWaitOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseWaitOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "WaitOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureOnlineStoreAdminServiceRestTransport._WaitOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_wait_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "WaitOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def kind(self) -> str: + return "rest" + + def close(self): + self._session.close() + + +__all__ = ("FeatureOnlineStoreAdminServiceRestTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/rest_asyncio.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/rest_asyncio.py new file mode 100644 index 0000000000000000000000000000000000000000..8e2ea5cdb3dc3647c60a5573bf022ee798d936aa --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/rest_asyncio.py @@ -0,0 +1,7038 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +import google.auth + +try: + import aiohttp # type: ignore + from google.auth.aio.transport.sessions import AsyncAuthorizedSession # type: ignore + from google.api_core import rest_streaming_async # type: ignore + from google.api_core.operations_v1 import AsyncOperationsRestClient # type: ignore +except ImportError as e: # pragma: NO COVER + raise ImportError( + "`rest_asyncio` transport requires the library to be installed with the `async_rest` extra. Install the library with the `async_rest` extra using `pip install google-cloud-aiplatform[async_rest]`" + ) from e + +from google.auth.aio import credentials as ga_credentials_async # type: ignore + +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import operations_v1 +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore +from google.api_core import retry_async as retries +from google.api_core import rest_helpers +from google.api_core import rest_streaming_async # type: ignore +import google.protobuf + +from google.protobuf import json_format +from google.api_core import operations_v1 +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore + +import json # type: ignore +import dataclasses +from typing import Any, Dict, List, Callable, Tuple, Optional, Sequence, Union + + +from google.cloud.aiplatform_v1.types import feature_online_store +from google.cloud.aiplatform_v1.types import feature_online_store_admin_service +from google.cloud.aiplatform_v1.types import feature_view +from google.cloud.aiplatform_v1.types import feature_view_sync +from google.longrunning import operations_pb2 # type: ignore + + +from .rest_base import _BaseFeatureOnlineStoreAdminServiceRestTransport + +from .base import DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO + + +import logging + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = logging.getLogger(__name__) + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version, + grpc_version=None, + rest_version=f"google-auth@{google.auth.__version__}", +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +class AsyncFeatureOnlineStoreAdminServiceRestInterceptor: + """Asynchronous Interceptor for FeatureOnlineStoreAdminService. + + Interceptors are used to manipulate requests, request metadata, and responses + in arbitrary ways. + Example use cases include: + * Logging + * Verifying requests according to service or custom semantics + * Stripping extraneous information from responses + + These use cases and more can be enabled by injecting an + instance of a custom subclass when constructing the AsyncFeatureOnlineStoreAdminServiceRestTransport. + + .. code-block:: python + class MyCustomFeatureOnlineStoreAdminServiceInterceptor(FeatureOnlineStoreAdminServiceRestInterceptor): + async def pre_create_feature_online_store(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_create_feature_online_store(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_create_feature_view(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_create_feature_view(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_delete_feature_online_store(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_delete_feature_online_store(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_delete_feature_view(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_delete_feature_view(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_get_feature_online_store(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_get_feature_online_store(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_get_feature_view(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_get_feature_view(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_get_feature_view_sync(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_get_feature_view_sync(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_list_feature_online_stores(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_list_feature_online_stores(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_list_feature_views(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_list_feature_views(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_list_feature_view_syncs(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_list_feature_view_syncs(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_sync_feature_view(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_sync_feature_view(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_update_feature_online_store(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_update_feature_online_store(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_update_feature_view(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_update_feature_view(self, response): + logging.log(f"Received response: {response}") + return response + + transport = AsyncFeatureOnlineStoreAdminServiceRestTransport(interceptor=MyCustomFeatureOnlineStoreAdminServiceInterceptor()) + client = async FeatureOnlineStoreAdminServiceClient(transport=transport) + + + """ + + async def pre_create_feature_online_store( + self, + request: feature_online_store_admin_service.CreateFeatureOnlineStoreRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.CreateFeatureOnlineStoreRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for create_feature_online_store + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + async def post_create_feature_online_store( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for create_feature_online_store + + DEPRECATED. Please use the `post_create_feature_online_store_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. This `post_create_feature_online_store` interceptor runs + before the `post_create_feature_online_store_with_metadata` interceptor. + """ + return response + + async def post_create_feature_online_store_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for create_feature_online_store + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureOnlineStoreAdminService server but before it is returned to user code. + + We recommend only using this `post_create_feature_online_store_with_metadata` + interceptor in new development instead of the `post_create_feature_online_store` interceptor. + When both interceptors are used, this `post_create_feature_online_store_with_metadata` interceptor runs after the + `post_create_feature_online_store` interceptor. The (possibly modified) response returned by + `post_create_feature_online_store` will be passed to + `post_create_feature_online_store_with_metadata`. + """ + return response, metadata + + async def pre_create_feature_view( + self, + request: feature_online_store_admin_service.CreateFeatureViewRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.CreateFeatureViewRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for create_feature_view + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + async def post_create_feature_view( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for create_feature_view + + DEPRECATED. Please use the `post_create_feature_view_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. This `post_create_feature_view` interceptor runs + before the `post_create_feature_view_with_metadata` interceptor. + """ + return response + + async def post_create_feature_view_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for create_feature_view + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureOnlineStoreAdminService server but before it is returned to user code. + + We recommend only using this `post_create_feature_view_with_metadata` + interceptor in new development instead of the `post_create_feature_view` interceptor. + When both interceptors are used, this `post_create_feature_view_with_metadata` interceptor runs after the + `post_create_feature_view` interceptor. The (possibly modified) response returned by + `post_create_feature_view` will be passed to + `post_create_feature_view_with_metadata`. + """ + return response, metadata + + async def pre_delete_feature_online_store( + self, + request: feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for delete_feature_online_store + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + async def post_delete_feature_online_store( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for delete_feature_online_store + + DEPRECATED. Please use the `post_delete_feature_online_store_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. This `post_delete_feature_online_store` interceptor runs + before the `post_delete_feature_online_store_with_metadata` interceptor. + """ + return response + + async def post_delete_feature_online_store_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for delete_feature_online_store + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureOnlineStoreAdminService server but before it is returned to user code. + + We recommend only using this `post_delete_feature_online_store_with_metadata` + interceptor in new development instead of the `post_delete_feature_online_store` interceptor. + When both interceptors are used, this `post_delete_feature_online_store_with_metadata` interceptor runs after the + `post_delete_feature_online_store` interceptor. The (possibly modified) response returned by + `post_delete_feature_online_store` will be passed to + `post_delete_feature_online_store_with_metadata`. + """ + return response, metadata + + async def pre_delete_feature_view( + self, + request: feature_online_store_admin_service.DeleteFeatureViewRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.DeleteFeatureViewRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for delete_feature_view + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + async def post_delete_feature_view( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for delete_feature_view + + DEPRECATED. Please use the `post_delete_feature_view_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. This `post_delete_feature_view` interceptor runs + before the `post_delete_feature_view_with_metadata` interceptor. + """ + return response + + async def post_delete_feature_view_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for delete_feature_view + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureOnlineStoreAdminService server but before it is returned to user code. + + We recommend only using this `post_delete_feature_view_with_metadata` + interceptor in new development instead of the `post_delete_feature_view` interceptor. + When both interceptors are used, this `post_delete_feature_view_with_metadata` interceptor runs after the + `post_delete_feature_view` interceptor. The (possibly modified) response returned by + `post_delete_feature_view` will be passed to + `post_delete_feature_view_with_metadata`. + """ + return response, metadata + + async def pre_get_feature_online_store( + self, + request: feature_online_store_admin_service.GetFeatureOnlineStoreRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.GetFeatureOnlineStoreRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for get_feature_online_store + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + async def post_get_feature_online_store( + self, response: feature_online_store.FeatureOnlineStore + ) -> feature_online_store.FeatureOnlineStore: + """Post-rpc interceptor for get_feature_online_store + + DEPRECATED. Please use the `post_get_feature_online_store_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. This `post_get_feature_online_store` interceptor runs + before the `post_get_feature_online_store_with_metadata` interceptor. + """ + return response + + async def post_get_feature_online_store_with_metadata( + self, + response: feature_online_store.FeatureOnlineStore, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store.FeatureOnlineStore, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Post-rpc interceptor for get_feature_online_store + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureOnlineStoreAdminService server but before it is returned to user code. + + We recommend only using this `post_get_feature_online_store_with_metadata` + interceptor in new development instead of the `post_get_feature_online_store` interceptor. + When both interceptors are used, this `post_get_feature_online_store_with_metadata` interceptor runs after the + `post_get_feature_online_store` interceptor. The (possibly modified) response returned by + `post_get_feature_online_store` will be passed to + `post_get_feature_online_store_with_metadata`. + """ + return response, metadata + + async def pre_get_feature_view( + self, + request: feature_online_store_admin_service.GetFeatureViewRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.GetFeatureViewRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for get_feature_view + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + async def post_get_feature_view( + self, response: feature_view.FeatureView + ) -> feature_view.FeatureView: + """Post-rpc interceptor for get_feature_view + + DEPRECATED. Please use the `post_get_feature_view_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. This `post_get_feature_view` interceptor runs + before the `post_get_feature_view_with_metadata` interceptor. + """ + return response + + async def post_get_feature_view_with_metadata( + self, + response: feature_view.FeatureView, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[feature_view.FeatureView, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for get_feature_view + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureOnlineStoreAdminService server but before it is returned to user code. + + We recommend only using this `post_get_feature_view_with_metadata` + interceptor in new development instead of the `post_get_feature_view` interceptor. + When both interceptors are used, this `post_get_feature_view_with_metadata` interceptor runs after the + `post_get_feature_view` interceptor. The (possibly modified) response returned by + `post_get_feature_view` will be passed to + `post_get_feature_view_with_metadata`. + """ + return response, metadata + + async def pre_get_feature_view_sync( + self, + request: feature_online_store_admin_service.GetFeatureViewSyncRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.GetFeatureViewSyncRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for get_feature_view_sync + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + async def post_get_feature_view_sync( + self, response: feature_view_sync.FeatureViewSync + ) -> feature_view_sync.FeatureViewSync: + """Post-rpc interceptor for get_feature_view_sync + + DEPRECATED. Please use the `post_get_feature_view_sync_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. This `post_get_feature_view_sync` interceptor runs + before the `post_get_feature_view_sync_with_metadata` interceptor. + """ + return response + + async def post_get_feature_view_sync_with_metadata( + self, + response: feature_view_sync.FeatureViewSync, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_view_sync.FeatureViewSync, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Post-rpc interceptor for get_feature_view_sync + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureOnlineStoreAdminService server but before it is returned to user code. + + We recommend only using this `post_get_feature_view_sync_with_metadata` + interceptor in new development instead of the `post_get_feature_view_sync` interceptor. + When both interceptors are used, this `post_get_feature_view_sync_with_metadata` interceptor runs after the + `post_get_feature_view_sync` interceptor. The (possibly modified) response returned by + `post_get_feature_view_sync` will be passed to + `post_get_feature_view_sync_with_metadata`. + """ + return response, metadata + + async def pre_list_feature_online_stores( + self, + request: feature_online_store_admin_service.ListFeatureOnlineStoresRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.ListFeatureOnlineStoresRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for list_feature_online_stores + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + async def post_list_feature_online_stores( + self, + response: feature_online_store_admin_service.ListFeatureOnlineStoresResponse, + ) -> feature_online_store_admin_service.ListFeatureOnlineStoresResponse: + """Post-rpc interceptor for list_feature_online_stores + + DEPRECATED. Please use the `post_list_feature_online_stores_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. This `post_list_feature_online_stores` interceptor runs + before the `post_list_feature_online_stores_with_metadata` interceptor. + """ + return response + + async def post_list_feature_online_stores_with_metadata( + self, + response: feature_online_store_admin_service.ListFeatureOnlineStoresResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.ListFeatureOnlineStoresResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for list_feature_online_stores + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureOnlineStoreAdminService server but before it is returned to user code. + + We recommend only using this `post_list_feature_online_stores_with_metadata` + interceptor in new development instead of the `post_list_feature_online_stores` interceptor. + When both interceptors are used, this `post_list_feature_online_stores_with_metadata` interceptor runs after the + `post_list_feature_online_stores` interceptor. The (possibly modified) response returned by + `post_list_feature_online_stores` will be passed to + `post_list_feature_online_stores_with_metadata`. + """ + return response, metadata + + async def pre_list_feature_views( + self, + request: feature_online_store_admin_service.ListFeatureViewsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.ListFeatureViewsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for list_feature_views + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + async def post_list_feature_views( + self, response: feature_online_store_admin_service.ListFeatureViewsResponse + ) -> feature_online_store_admin_service.ListFeatureViewsResponse: + """Post-rpc interceptor for list_feature_views + + DEPRECATED. Please use the `post_list_feature_views_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. This `post_list_feature_views` interceptor runs + before the `post_list_feature_views_with_metadata` interceptor. + """ + return response + + async def post_list_feature_views_with_metadata( + self, + response: feature_online_store_admin_service.ListFeatureViewsResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.ListFeatureViewsResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for list_feature_views + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureOnlineStoreAdminService server but before it is returned to user code. + + We recommend only using this `post_list_feature_views_with_metadata` + interceptor in new development instead of the `post_list_feature_views` interceptor. + When both interceptors are used, this `post_list_feature_views_with_metadata` interceptor runs after the + `post_list_feature_views` interceptor. The (possibly modified) response returned by + `post_list_feature_views` will be passed to + `post_list_feature_views_with_metadata`. + """ + return response, metadata + + async def pre_list_feature_view_syncs( + self, + request: feature_online_store_admin_service.ListFeatureViewSyncsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.ListFeatureViewSyncsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for list_feature_view_syncs + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + async def post_list_feature_view_syncs( + self, response: feature_online_store_admin_service.ListFeatureViewSyncsResponse + ) -> feature_online_store_admin_service.ListFeatureViewSyncsResponse: + """Post-rpc interceptor for list_feature_view_syncs + + DEPRECATED. Please use the `post_list_feature_view_syncs_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. This `post_list_feature_view_syncs` interceptor runs + before the `post_list_feature_view_syncs_with_metadata` interceptor. + """ + return response + + async def post_list_feature_view_syncs_with_metadata( + self, + response: feature_online_store_admin_service.ListFeatureViewSyncsResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.ListFeatureViewSyncsResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for list_feature_view_syncs + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureOnlineStoreAdminService server but before it is returned to user code. + + We recommend only using this `post_list_feature_view_syncs_with_metadata` + interceptor in new development instead of the `post_list_feature_view_syncs` interceptor. + When both interceptors are used, this `post_list_feature_view_syncs_with_metadata` interceptor runs after the + `post_list_feature_view_syncs` interceptor. The (possibly modified) response returned by + `post_list_feature_view_syncs` will be passed to + `post_list_feature_view_syncs_with_metadata`. + """ + return response, metadata + + async def pre_sync_feature_view( + self, + request: feature_online_store_admin_service.SyncFeatureViewRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.SyncFeatureViewRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for sync_feature_view + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + async def post_sync_feature_view( + self, response: feature_online_store_admin_service.SyncFeatureViewResponse + ) -> feature_online_store_admin_service.SyncFeatureViewResponse: + """Post-rpc interceptor for sync_feature_view + + DEPRECATED. Please use the `post_sync_feature_view_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. This `post_sync_feature_view` interceptor runs + before the `post_sync_feature_view_with_metadata` interceptor. + """ + return response + + async def post_sync_feature_view_with_metadata( + self, + response: feature_online_store_admin_service.SyncFeatureViewResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.SyncFeatureViewResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for sync_feature_view + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureOnlineStoreAdminService server but before it is returned to user code. + + We recommend only using this `post_sync_feature_view_with_metadata` + interceptor in new development instead of the `post_sync_feature_view` interceptor. + When both interceptors are used, this `post_sync_feature_view_with_metadata` interceptor runs after the + `post_sync_feature_view` interceptor. The (possibly modified) response returned by + `post_sync_feature_view` will be passed to + `post_sync_feature_view_with_metadata`. + """ + return response, metadata + + async def pre_update_feature_online_store( + self, + request: feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for update_feature_online_store + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + async def post_update_feature_online_store( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for update_feature_online_store + + DEPRECATED. Please use the `post_update_feature_online_store_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. This `post_update_feature_online_store` interceptor runs + before the `post_update_feature_online_store_with_metadata` interceptor. + """ + return response + + async def post_update_feature_online_store_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for update_feature_online_store + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureOnlineStoreAdminService server but before it is returned to user code. + + We recommend only using this `post_update_feature_online_store_with_metadata` + interceptor in new development instead of the `post_update_feature_online_store` interceptor. + When both interceptors are used, this `post_update_feature_online_store_with_metadata` interceptor runs after the + `post_update_feature_online_store` interceptor. The (possibly modified) response returned by + `post_update_feature_online_store` will be passed to + `post_update_feature_online_store_with_metadata`. + """ + return response, metadata + + async def pre_update_feature_view( + self, + request: feature_online_store_admin_service.UpdateFeatureViewRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_online_store_admin_service.UpdateFeatureViewRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for update_feature_view + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + async def post_update_feature_view( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for update_feature_view + + DEPRECATED. Please use the `post_update_feature_view_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. This `post_update_feature_view` interceptor runs + before the `post_update_feature_view_with_metadata` interceptor. + """ + return response + + async def post_update_feature_view_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for update_feature_view + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureOnlineStoreAdminService server but before it is returned to user code. + + We recommend only using this `post_update_feature_view_with_metadata` + interceptor in new development instead of the `post_update_feature_view` interceptor. + When both interceptors are used, this `post_update_feature_view_with_metadata` interceptor runs after the + `post_update_feature_view` interceptor. The (possibly modified) response returned by + `post_update_feature_view` will be passed to + `post_update_feature_view_with_metadata`. + """ + return response, metadata + + async def pre_get_location( + self, + request: locations_pb2.GetLocationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.GetLocationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_location + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + async def post_get_location( + self, response: locations_pb2.Location + ) -> locations_pb2.Location: + """Post-rpc interceptor for get_location + + Override in a subclass to manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. + """ + return response + + async def pre_list_locations( + self, + request: locations_pb2.ListLocationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.ListLocationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_locations + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + async def post_list_locations( + self, response: locations_pb2.ListLocationsResponse + ) -> locations_pb2.ListLocationsResponse: + """Post-rpc interceptor for list_locations + + Override in a subclass to manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. + """ + return response + + async def pre_get_iam_policy( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.GetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + async def post_get_iam_policy( + self, response: policy_pb2.Policy + ) -> policy_pb2.Policy: + """Post-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. + """ + return response + + async def pre_set_iam_policy( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.SetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + async def post_set_iam_policy( + self, response: policy_pb2.Policy + ) -> policy_pb2.Policy: + """Post-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. + """ + return response + + async def pre_test_iam_permissions( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.TestIamPermissionsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + async def post_test_iam_permissions( + self, response: iam_policy_pb2.TestIamPermissionsResponse + ) -> iam_policy_pb2.TestIamPermissionsResponse: + """Post-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. + """ + return response + + async def pre_cancel_operation( + self, + request: operations_pb2.CancelOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.CancelOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + async def post_cancel_operation(self, response: None) -> None: + """Post-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. + """ + return response + + async def pre_delete_operation( + self, + request: operations_pb2.DeleteOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.DeleteOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for delete_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + async def post_delete_operation(self, response: None) -> None: + """Post-rpc interceptor for delete_operation + + Override in a subclass to manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. + """ + return response + + async def pre_get_operation( + self, + request: operations_pb2.GetOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.GetOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + async def post_get_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for get_operation + + Override in a subclass to manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. + """ + return response + + async def pre_list_operations( + self, + request: operations_pb2.ListOperationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.ListOperationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_operations + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + async def post_list_operations( + self, response: operations_pb2.ListOperationsResponse + ) -> operations_pb2.ListOperationsResponse: + """Post-rpc interceptor for list_operations + + Override in a subclass to manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. + """ + return response + + async def pre_wait_operation( + self, + request: operations_pb2.WaitOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.WaitOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for wait_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureOnlineStoreAdminService server. + """ + return request, metadata + + async def post_wait_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for wait_operation + + Override in a subclass to manipulate the response + after it is returned by the FeatureOnlineStoreAdminService server but before + it is returned to user code. + """ + return response + + +@dataclasses.dataclass +class AsyncFeatureOnlineStoreAdminServiceRestStub: + _session: AsyncAuthorizedSession + _host: str + _interceptor: AsyncFeatureOnlineStoreAdminServiceRestInterceptor + + +class AsyncFeatureOnlineStoreAdminServiceRestTransport( + _BaseFeatureOnlineStoreAdminServiceRestTransport +): + """Asynchronous REST backend transport for FeatureOnlineStoreAdminService. + + The service that handles CRUD and List for resources for + FeatureOnlineStore. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + """ + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials_async.Credentials] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + url_scheme: str = "https", + interceptor: Optional[ + AsyncFeatureOnlineStoreAdminServiceRestInterceptor + ] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.aio.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + url_scheme (str): the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=False, + url_scheme=url_scheme, + api_audience=None, + ) + self._session = AsyncAuthorizedSession(self._credentials) # type: ignore + self._interceptor = ( + interceptor or AsyncFeatureOnlineStoreAdminServiceRestInterceptor() + ) + self._wrap_with_kind = True + self._prep_wrapped_messages(client_info) + self._operations_client: Optional[operations_v1.AsyncOperationsRestClient] = ( + None + ) + + def _prep_wrapped_messages(self, client_info): + """Precompute the wrapped methods, overriding the base class method to use async wrappers.""" + self._wrapped_methods = { + self.create_feature_online_store: self._wrap_method( + self.create_feature_online_store, + default_timeout=None, + client_info=client_info, + ), + self.get_feature_online_store: self._wrap_method( + self.get_feature_online_store, + default_timeout=None, + client_info=client_info, + ), + self.list_feature_online_stores: self._wrap_method( + self.list_feature_online_stores, + default_timeout=None, + client_info=client_info, + ), + self.update_feature_online_store: self._wrap_method( + self.update_feature_online_store, + default_timeout=None, + client_info=client_info, + ), + self.delete_feature_online_store: self._wrap_method( + self.delete_feature_online_store, + default_timeout=None, + client_info=client_info, + ), + self.create_feature_view: self._wrap_method( + self.create_feature_view, + default_timeout=None, + client_info=client_info, + ), + self.get_feature_view: self._wrap_method( + self.get_feature_view, + default_timeout=None, + client_info=client_info, + ), + self.list_feature_views: self._wrap_method( + self.list_feature_views, + default_timeout=None, + client_info=client_info, + ), + self.update_feature_view: self._wrap_method( + self.update_feature_view, + default_timeout=None, + client_info=client_info, + ), + self.delete_feature_view: self._wrap_method( + self.delete_feature_view, + default_timeout=None, + client_info=client_info, + ), + self.sync_feature_view: self._wrap_method( + self.sync_feature_view, + default_timeout=None, + client_info=client_info, + ), + self.get_feature_view_sync: self._wrap_method( + self.get_feature_view_sync, + default_timeout=None, + client_info=client_info, + ), + self.list_feature_view_syncs: self._wrap_method( + self.list_feature_view_syncs, + default_timeout=None, + client_info=client_info, + ), + self.get_location: self._wrap_method( + self.get_location, + default_timeout=None, + client_info=client_info, + ), + self.list_locations: self._wrap_method( + self.list_locations, + default_timeout=None, + client_info=client_info, + ), + self.get_iam_policy: self._wrap_method( + self.get_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.set_iam_policy: self._wrap_method( + self.set_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.test_iam_permissions: self._wrap_method( + self.test_iam_permissions, + default_timeout=None, + client_info=client_info, + ), + self.cancel_operation: self._wrap_method( + self.cancel_operation, + default_timeout=None, + client_info=client_info, + ), + self.delete_operation: self._wrap_method( + self.delete_operation, + default_timeout=None, + client_info=client_info, + ), + self.get_operation: self._wrap_method( + self.get_operation, + default_timeout=None, + client_info=client_info, + ), + self.list_operations: self._wrap_method( + self.list_operations, + default_timeout=None, + client_info=client_info, + ), + self.wait_operation: self._wrap_method( + self.wait_operation, + default_timeout=None, + client_info=client_info, + ), + } + + def _wrap_method(self, func, *args, **kwargs): + if self._wrap_with_kind: # pragma: NO COVER + kwargs["kind"] = self.kind + return gapic_v1.method_async.wrap_method(func, *args, **kwargs) + + class _CreateFeatureOnlineStore( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCreateFeatureOnlineStore, + AsyncFeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeatureOnlineStoreAdminServiceRestTransport.CreateFeatureOnlineStore" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: feature_online_store_admin_service.CreateFeatureOnlineStoreRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the create feature online + store method over HTTP. + + Args: + request (~.feature_online_store_admin_service.CreateFeatureOnlineStoreRequest): + The request object. Request message for + [FeatureOnlineStoreAdminService.CreateFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.CreateFeatureOnlineStore]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCreateFeatureOnlineStore._get_http_options() + ) + + request, metadata = await self._interceptor.pre_create_feature_online_store( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCreateFeatureOnlineStore._get_transcoded_request( + http_options, request + ) + + body = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCreateFeatureOnlineStore._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCreateFeatureOnlineStore._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.CreateFeatureOnlineStore", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "CreateFeatureOnlineStore", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureOnlineStoreAdminServiceRestTransport._CreateFeatureOnlineStore._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = operations_pb2.Operation() + pb_resp = resp + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_create_feature_online_store(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = ( + await self._interceptor.post_create_feature_online_store_with_metadata( + resp, response_metadata + ) + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.create_feature_online_store", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "CreateFeatureOnlineStore", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _CreateFeatureView( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCreateFeatureView, + AsyncFeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeatureOnlineStoreAdminServiceRestTransport.CreateFeatureView" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: feature_online_store_admin_service.CreateFeatureViewRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the create feature view method over HTTP. + + Args: + request (~.feature_online_store_admin_service.CreateFeatureViewRequest): + The request object. Request message for + [FeatureOnlineStoreAdminService.CreateFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.CreateFeatureView]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCreateFeatureView._get_http_options() + ) + + request, metadata = await self._interceptor.pre_create_feature_view( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCreateFeatureView._get_transcoded_request( + http_options, request + ) + + body = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCreateFeatureView._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCreateFeatureView._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.CreateFeatureView", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "CreateFeatureView", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureOnlineStoreAdminServiceRestTransport._CreateFeatureView._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = operations_pb2.Operation() + pb_resp = resp + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_create_feature_view(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_create_feature_view_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.create_feature_view", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "CreateFeatureView", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _DeleteFeatureOnlineStore( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseDeleteFeatureOnlineStore, + AsyncFeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeatureOnlineStoreAdminServiceRestTransport.DeleteFeatureOnlineStore" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the delete feature online + store method over HTTP. + + Args: + request (~.feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest): + The request object. Request message for + [FeatureOnlineStoreAdminService.DeleteFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.DeleteFeatureOnlineStore]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseDeleteFeatureOnlineStore._get_http_options() + ) + + request, metadata = await self._interceptor.pre_delete_feature_online_store( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseDeleteFeatureOnlineStore._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseDeleteFeatureOnlineStore._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.DeleteFeatureOnlineStore", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "DeleteFeatureOnlineStore", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureOnlineStoreAdminServiceRestTransport._DeleteFeatureOnlineStore._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = operations_pb2.Operation() + pb_resp = resp + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_delete_feature_online_store(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = ( + await self._interceptor.post_delete_feature_online_store_with_metadata( + resp, response_metadata + ) + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.delete_feature_online_store", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "DeleteFeatureOnlineStore", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _DeleteFeatureView( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseDeleteFeatureView, + AsyncFeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeatureOnlineStoreAdminServiceRestTransport.DeleteFeatureView" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: feature_online_store_admin_service.DeleteFeatureViewRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the delete feature view method over HTTP. + + Args: + request (~.feature_online_store_admin_service.DeleteFeatureViewRequest): + The request object. Request message for + [FeatureOnlineStoreAdminService.DeleteFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.DeleteFeatureView]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseDeleteFeatureView._get_http_options() + ) + + request, metadata = await self._interceptor.pre_delete_feature_view( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseDeleteFeatureView._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseDeleteFeatureView._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.DeleteFeatureView", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "DeleteFeatureView", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureOnlineStoreAdminServiceRestTransport._DeleteFeatureView._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = operations_pb2.Operation() + pb_resp = resp + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_delete_feature_view(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_delete_feature_view_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.delete_feature_view", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "DeleteFeatureView", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _GetFeatureOnlineStore( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetFeatureOnlineStore, + AsyncFeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeatureOnlineStoreAdminServiceRestTransport.GetFeatureOnlineStore" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: feature_online_store_admin_service.GetFeatureOnlineStoreRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_online_store.FeatureOnlineStore: + r"""Call the get feature online store method over HTTP. + + Args: + request (~.feature_online_store_admin_service.GetFeatureOnlineStoreRequest): + The request object. Request message for + [FeatureOnlineStoreAdminService.GetFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.GetFeatureOnlineStore]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.feature_online_store.FeatureOnlineStore: + Vertex AI Feature Online Store + provides a centralized repository for + serving ML features and embedding + indexes at low latency. The Feature + Online Store is a top-level container. + + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetFeatureOnlineStore._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_feature_online_store( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetFeatureOnlineStore._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetFeatureOnlineStore._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.GetFeatureOnlineStore", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "GetFeatureOnlineStore", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureOnlineStoreAdminServiceRestTransport._GetFeatureOnlineStore._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = feature_online_store.FeatureOnlineStore() + pb_resp = feature_online_store.FeatureOnlineStore.pb(resp) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_get_feature_online_store(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = ( + await self._interceptor.post_get_feature_online_store_with_metadata( + resp, response_metadata + ) + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = feature_online_store.FeatureOnlineStore.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.get_feature_online_store", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "GetFeatureOnlineStore", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _GetFeatureView( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetFeatureView, + AsyncFeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeatureOnlineStoreAdminServiceRestTransport.GetFeatureView" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: feature_online_store_admin_service.GetFeatureViewRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_view.FeatureView: + r"""Call the get feature view method over HTTP. + + Args: + request (~.feature_online_store_admin_service.GetFeatureViewRequest): + The request object. Request message for + [FeatureOnlineStoreAdminService.GetFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.GetFeatureView]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.feature_view.FeatureView: + FeatureView is representation of + values that the FeatureOnlineStore will + serve based on its syncConfig. + + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetFeatureView._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_feature_view( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetFeatureView._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetFeatureView._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.GetFeatureView", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "GetFeatureView", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureOnlineStoreAdminServiceRestTransport._GetFeatureView._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = feature_view.FeatureView() + pb_resp = feature_view.FeatureView.pb(resp) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_get_feature_view(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_get_feature_view_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = feature_view.FeatureView.to_json(response) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.get_feature_view", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "GetFeatureView", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _GetFeatureViewSync( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetFeatureViewSync, + AsyncFeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeatureOnlineStoreAdminServiceRestTransport.GetFeatureViewSync" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: feature_online_store_admin_service.GetFeatureViewSyncRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_view_sync.FeatureViewSync: + r"""Call the get feature view sync method over HTTP. + + Args: + request (~.feature_online_store_admin_service.GetFeatureViewSyncRequest): + The request object. Request message for + [FeatureOnlineStoreAdminService.GetFeatureViewSync][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.GetFeatureViewSync]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.feature_view_sync.FeatureViewSync: + FeatureViewSync is a representation + of sync operation which copies data from + data source to Feature View in Online + Store. + + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetFeatureViewSync._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_feature_view_sync( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetFeatureViewSync._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetFeatureViewSync._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.GetFeatureViewSync", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "GetFeatureViewSync", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureOnlineStoreAdminServiceRestTransport._GetFeatureViewSync._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = feature_view_sync.FeatureViewSync() + pb_resp = feature_view_sync.FeatureViewSync.pb(resp) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_get_feature_view_sync(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_get_feature_view_sync_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = feature_view_sync.FeatureViewSync.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.get_feature_view_sync", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "GetFeatureViewSync", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _ListFeatureOnlineStores( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListFeatureOnlineStores, + AsyncFeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeatureOnlineStoreAdminServiceRestTransport.ListFeatureOnlineStores" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: feature_online_store_admin_service.ListFeatureOnlineStoresRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_online_store_admin_service.ListFeatureOnlineStoresResponse: + r"""Call the list feature online + stores method over HTTP. + + Args: + request (~.feature_online_store_admin_service.ListFeatureOnlineStoresRequest): + The request object. Request message for + [FeatureOnlineStoreAdminService.ListFeatureOnlineStores][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureOnlineStores]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.feature_online_store_admin_service.ListFeatureOnlineStoresResponse: + Response message for + [FeatureOnlineStoreAdminService.ListFeatureOnlineStores][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureOnlineStores]. + + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListFeatureOnlineStores._get_http_options() + ) + + request, metadata = await self._interceptor.pre_list_feature_online_stores( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListFeatureOnlineStores._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListFeatureOnlineStores._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.ListFeatureOnlineStores", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "ListFeatureOnlineStores", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureOnlineStoreAdminServiceRestTransport._ListFeatureOnlineStores._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = feature_online_store_admin_service.ListFeatureOnlineStoresResponse() + pb_resp = ( + feature_online_store_admin_service.ListFeatureOnlineStoresResponse.pb( + resp + ) + ) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_list_feature_online_stores(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = ( + await self._interceptor.post_list_feature_online_stores_with_metadata( + resp, response_metadata + ) + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = feature_online_store_admin_service.ListFeatureOnlineStoresResponse.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.list_feature_online_stores", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "ListFeatureOnlineStores", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _ListFeatureViews( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListFeatureViews, + AsyncFeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeatureOnlineStoreAdminServiceRestTransport.ListFeatureViews" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: feature_online_store_admin_service.ListFeatureViewsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_online_store_admin_service.ListFeatureViewsResponse: + r"""Call the list feature views method over HTTP. + + Args: + request (~.feature_online_store_admin_service.ListFeatureViewsRequest): + The request object. Request message for + [FeatureOnlineStoreAdminService.ListFeatureViews][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViews]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.feature_online_store_admin_service.ListFeatureViewsResponse: + Response message for + [FeatureOnlineStoreAdminService.ListFeatureViews][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViews]. + + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListFeatureViews._get_http_options() + ) + + request, metadata = await self._interceptor.pre_list_feature_views( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListFeatureViews._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListFeatureViews._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.ListFeatureViews", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "ListFeatureViews", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureOnlineStoreAdminServiceRestTransport._ListFeatureViews._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = feature_online_store_admin_service.ListFeatureViewsResponse() + pb_resp = feature_online_store_admin_service.ListFeatureViewsResponse.pb( + resp + ) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_list_feature_views(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_list_feature_views_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = feature_online_store_admin_service.ListFeatureViewsResponse.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.list_feature_views", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "ListFeatureViews", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _ListFeatureViewSyncs( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListFeatureViewSyncs, + AsyncFeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeatureOnlineStoreAdminServiceRestTransport.ListFeatureViewSyncs" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: feature_online_store_admin_service.ListFeatureViewSyncsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_online_store_admin_service.ListFeatureViewSyncsResponse: + r"""Call the list feature view syncs method over HTTP. + + Args: + request (~.feature_online_store_admin_service.ListFeatureViewSyncsRequest): + The request object. Request message for + [FeatureOnlineStoreAdminService.ListFeatureViewSyncs][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViewSyncs]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.feature_online_store_admin_service.ListFeatureViewSyncsResponse: + Response message for + [FeatureOnlineStoreAdminService.ListFeatureViewSyncs][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.ListFeatureViewSyncs]. + + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListFeatureViewSyncs._get_http_options() + ) + + request, metadata = await self._interceptor.pre_list_feature_view_syncs( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListFeatureViewSyncs._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListFeatureViewSyncs._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.ListFeatureViewSyncs", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "ListFeatureViewSyncs", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureOnlineStoreAdminServiceRestTransport._ListFeatureViewSyncs._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = feature_online_store_admin_service.ListFeatureViewSyncsResponse() + pb_resp = ( + feature_online_store_admin_service.ListFeatureViewSyncsResponse.pb(resp) + ) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_list_feature_view_syncs(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = ( + await self._interceptor.post_list_feature_view_syncs_with_metadata( + resp, response_metadata + ) + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = feature_online_store_admin_service.ListFeatureViewSyncsResponse.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.list_feature_view_syncs", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "ListFeatureViewSyncs", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _SyncFeatureView( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseSyncFeatureView, + AsyncFeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeatureOnlineStoreAdminServiceRestTransport.SyncFeatureView" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: feature_online_store_admin_service.SyncFeatureViewRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_online_store_admin_service.SyncFeatureViewResponse: + r"""Call the sync feature view method over HTTP. + + Args: + request (~.feature_online_store_admin_service.SyncFeatureViewRequest): + The request object. Request message for + [FeatureOnlineStoreAdminService.SyncFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.SyncFeatureView]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.feature_online_store_admin_service.SyncFeatureViewResponse: + Response message for + [FeatureOnlineStoreAdminService.SyncFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.SyncFeatureView]. + + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseSyncFeatureView._get_http_options() + ) + + request, metadata = await self._interceptor.pre_sync_feature_view( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseSyncFeatureView._get_transcoded_request( + http_options, request + ) + + body = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseSyncFeatureView._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseSyncFeatureView._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.SyncFeatureView", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "SyncFeatureView", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureOnlineStoreAdminServiceRestTransport._SyncFeatureView._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = feature_online_store_admin_service.SyncFeatureViewResponse() + pb_resp = feature_online_store_admin_service.SyncFeatureViewResponse.pb( + resp + ) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_sync_feature_view(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_sync_feature_view_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = feature_online_store_admin_service.SyncFeatureViewResponse.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.sync_feature_view", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "SyncFeatureView", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _UpdateFeatureOnlineStore( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseUpdateFeatureOnlineStore, + AsyncFeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeatureOnlineStoreAdminServiceRestTransport.UpdateFeatureOnlineStore" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the update feature online + store method over HTTP. + + Args: + request (~.feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest): + The request object. Request message for + [FeatureOnlineStoreAdminService.UpdateFeatureOnlineStore][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.UpdateFeatureOnlineStore]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseUpdateFeatureOnlineStore._get_http_options() + ) + + request, metadata = await self._interceptor.pre_update_feature_online_store( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseUpdateFeatureOnlineStore._get_transcoded_request( + http_options, request + ) + + body = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseUpdateFeatureOnlineStore._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseUpdateFeatureOnlineStore._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.UpdateFeatureOnlineStore", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "UpdateFeatureOnlineStore", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureOnlineStoreAdminServiceRestTransport._UpdateFeatureOnlineStore._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = operations_pb2.Operation() + pb_resp = resp + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_update_feature_online_store(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = ( + await self._interceptor.post_update_feature_online_store_with_metadata( + resp, response_metadata + ) + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.update_feature_online_store", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "UpdateFeatureOnlineStore", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _UpdateFeatureView( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseUpdateFeatureView, + AsyncFeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeatureOnlineStoreAdminServiceRestTransport.UpdateFeatureView" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: feature_online_store_admin_service.UpdateFeatureViewRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the update feature view method over HTTP. + + Args: + request (~.feature_online_store_admin_service.UpdateFeatureViewRequest): + The request object. Request message for + [FeatureOnlineStoreAdminService.UpdateFeatureView][google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService.UpdateFeatureView]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseUpdateFeatureView._get_http_options() + ) + + request, metadata = await self._interceptor.pre_update_feature_view( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseUpdateFeatureView._get_transcoded_request( + http_options, request + ) + + body = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseUpdateFeatureView._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseUpdateFeatureView._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.UpdateFeatureView", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "UpdateFeatureView", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureOnlineStoreAdminServiceRestTransport._UpdateFeatureView._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = operations_pb2.Operation() + pb_resp = resp + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_update_feature_view(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_update_feature_view_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.update_feature_view", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "UpdateFeatureView", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + @property + def operations_client(self) -> AsyncOperationsRestClient: + """Create the async client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Only create a new client if we do not already have one. + if self._operations_client is None: + http_options: Dict[str, List[Dict[str, str]]] = { + "google.longrunning.Operations.CancelOperation": [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + ], + "google.longrunning.Operations.DeleteOperation": [ + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensions/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}", + }, + ], + "google.longrunning.Operations.GetOperation": [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": 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"method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:wait", + }, + ], + } + + rest_transport = operations_v1.AsyncOperationsRestTransport( # type: ignore + host=self._host, + # use the credentials which are saved + credentials=self._credentials, # type: ignore + http_options=http_options, + path_prefix="v1", + ) + + self._operations_client = AsyncOperationsRestClient( + transport=rest_transport + ) + + # Return the client from cache. + return self._operations_client + + @property + def create_feature_online_store( + self, + ) -> Callable[ + [feature_online_store_admin_service.CreateFeatureOnlineStoreRequest], + operations_pb2.Operation, + ]: + return self._CreateFeatureOnlineStore(self._session, self._host, self._interceptor) # type: ignore + + @property + def create_feature_view( + self, + ) -> Callable[ + [feature_online_store_admin_service.CreateFeatureViewRequest], + operations_pb2.Operation, + ]: + return self._CreateFeatureView(self._session, self._host, self._interceptor) # type: ignore + + @property + def delete_feature_online_store( + self, + ) -> Callable[ + [feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest], + operations_pb2.Operation, + ]: + return self._DeleteFeatureOnlineStore(self._session, self._host, self._interceptor) # type: ignore + + @property + def delete_feature_view( + self, + ) -> Callable[ + [feature_online_store_admin_service.DeleteFeatureViewRequest], + operations_pb2.Operation, + ]: + return self._DeleteFeatureView(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_feature_online_store( + self, + ) -> Callable[ + [feature_online_store_admin_service.GetFeatureOnlineStoreRequest], + feature_online_store.FeatureOnlineStore, + ]: + return self._GetFeatureOnlineStore(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_feature_view( + self, + ) -> Callable[ + [feature_online_store_admin_service.GetFeatureViewRequest], + feature_view.FeatureView, + ]: + return self._GetFeatureView(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_feature_view_sync( + self, + ) -> Callable[ + [feature_online_store_admin_service.GetFeatureViewSyncRequest], + feature_view_sync.FeatureViewSync, + ]: + return self._GetFeatureViewSync(self._session, self._host, self._interceptor) # type: ignore + + @property + def list_feature_online_stores( + self, + ) -> Callable[ + [feature_online_store_admin_service.ListFeatureOnlineStoresRequest], + feature_online_store_admin_service.ListFeatureOnlineStoresResponse, + ]: + return self._ListFeatureOnlineStores(self._session, self._host, self._interceptor) # type: ignore + + @property + def list_feature_views( + self, + ) -> Callable[ + [feature_online_store_admin_service.ListFeatureViewsRequest], + feature_online_store_admin_service.ListFeatureViewsResponse, + ]: + return self._ListFeatureViews(self._session, self._host, self._interceptor) # type: ignore + + @property + def list_feature_view_syncs( + self, + ) -> Callable[ + [feature_online_store_admin_service.ListFeatureViewSyncsRequest], + feature_online_store_admin_service.ListFeatureViewSyncsResponse, + ]: + return self._ListFeatureViewSyncs(self._session, self._host, self._interceptor) # type: ignore + + @property + def sync_feature_view( + self, + ) -> Callable[ + [feature_online_store_admin_service.SyncFeatureViewRequest], + feature_online_store_admin_service.SyncFeatureViewResponse, + ]: + return self._SyncFeatureView(self._session, self._host, self._interceptor) # type: ignore + + @property + def update_feature_online_store( + self, + ) -> Callable[ + [feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest], + operations_pb2.Operation, + ]: + return self._UpdateFeatureOnlineStore(self._session, self._host, self._interceptor) # type: ignore + + @property + def update_feature_view( + self, + ) -> Callable[ + [feature_online_store_admin_service.UpdateFeatureViewRequest], + operations_pb2.Operation, + ]: + return self._UpdateFeatureView(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_location(self): + return self._GetLocation(self._session, self._host, self._interceptor) # type: ignore + + class _GetLocation( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetLocation, + AsyncFeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash("AsyncFeatureOnlineStoreAdminServiceRestTransport.GetLocation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: locations_pb2.GetLocationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Call the get location method over HTTP. + + Args: + request (locations_pb2.GetLocationRequest): + The request object for GetLocation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.Location: Response from GetLocation method. + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetLocation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_location( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetLocation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetLocation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "GetLocation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureOnlineStoreAdminServiceRestTransport._GetLocation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = locations_pb2.Location() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_get_location(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "GetLocation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_locations(self): + return self._ListLocations(self._session, self._host, self._interceptor) # type: ignore + + class _ListLocations( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListLocations, + AsyncFeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeatureOnlineStoreAdminServiceRestTransport.ListLocations" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: locations_pb2.ListLocationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Call the list locations method over HTTP. + + Args: + request (locations_pb2.ListLocationsRequest): + The request object for ListLocations method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.ListLocationsResponse: Response from ListLocations method. + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListLocations._get_http_options() + ) + + request, metadata = await self._interceptor.pre_list_locations( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListLocations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListLocations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "ListLocations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureOnlineStoreAdminServiceRestTransport._ListLocations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = locations_pb2.ListLocationsResponse() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_list_locations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "ListLocations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def get_iam_policy(self): + return self._GetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _GetIamPolicy( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetIamPolicy, + AsyncFeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash("AsyncFeatureOnlineStoreAdminServiceRestTransport.GetIamPolicy") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the get iam policy method over HTTP. + + Args: + request (iam_policy_pb2.GetIamPolicyRequest): + The request object for GetIamPolicy method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from GetIamPolicy method. + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetIamPolicy._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_iam_policy( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetIamPolicy._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "GetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureOnlineStoreAdminServiceRestTransport._GetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_get_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "GetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def set_iam_policy(self): + return self._SetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _SetIamPolicy( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseSetIamPolicy, + AsyncFeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash("AsyncFeatureOnlineStoreAdminServiceRestTransport.SetIamPolicy") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the set iam policy method over HTTP. + + Args: + request (iam_policy_pb2.SetIamPolicyRequest): + The request object for SetIamPolicy method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from SetIamPolicy method. + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseSetIamPolicy._get_http_options() + ) + + request, metadata = await self._interceptor.pre_set_iam_policy( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseSetIamPolicy._get_transcoded_request( + http_options, request + ) + + body = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseSetIamPolicy._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseSetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "SetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureOnlineStoreAdminServiceRestTransport._SetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_set_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "SetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def test_iam_permissions(self): + return self._TestIamPermissions(self._session, self._host, self._interceptor) # type: ignore + + class _TestIamPermissions( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseTestIamPermissions, + AsyncFeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeatureOnlineStoreAdminServiceRestTransport.TestIamPermissions" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Call the test iam permissions method over HTTP. + + Args: + request (iam_policy_pb2.TestIamPermissionsRequest): + The request object for TestIamPermissions method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + iam_policy_pb2.TestIamPermissionsResponse: Response from TestIamPermissions method. + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseTestIamPermissions._get_http_options() + ) + + request, metadata = await self._interceptor.pre_test_iam_permissions( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseTestIamPermissions._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseTestIamPermissions._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "TestIamPermissions", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureOnlineStoreAdminServiceRestTransport._TestIamPermissions._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = iam_policy_pb2.TestIamPermissionsResponse() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_test_iam_permissions(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "TestIamPermissions", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def cancel_operation(self): + return self._CancelOperation(self._session, self._host, self._interceptor) # type: ignore + + class _CancelOperation( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCancelOperation, + AsyncFeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeatureOnlineStoreAdminServiceRestTransport.CancelOperation" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.CancelOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the cancel operation method over HTTP. + + Args: + request (operations_pb2.CancelOperationRequest): + The request object for CancelOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCancelOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_cancel_operation( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCancelOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCancelOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.CancelOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "CancelOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureOnlineStoreAdminServiceRestTransport._CancelOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + return await self._interceptor.post_cancel_operation(None) + + @property + def delete_operation(self): + return self._DeleteOperation(self._session, self._host, self._interceptor) # type: ignore + + class _DeleteOperation( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseDeleteOperation, + AsyncFeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeatureOnlineStoreAdminServiceRestTransport.DeleteOperation" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.DeleteOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the delete operation method over HTTP. + + Args: + request (operations_pb2.DeleteOperationRequest): + The request object for DeleteOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseDeleteOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_delete_operation( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseDeleteOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseDeleteOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.DeleteOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "DeleteOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureOnlineStoreAdminServiceRestTransport._DeleteOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + return await self._interceptor.post_delete_operation(None) + + @property + def get_operation(self): + return self._GetOperation(self._session, self._host, self._interceptor) # type: ignore + + class _GetOperation( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetOperation, + AsyncFeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash("AsyncFeatureOnlineStoreAdminServiceRestTransport.GetOperation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.GetOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the get operation method over HTTP. + + Args: + request (operations_pb2.GetOperationRequest): + The request object for GetOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from GetOperation method. + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_operation( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "GetOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureOnlineStoreAdminServiceRestTransport._GetOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_get_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "GetOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_operations(self): + return self._ListOperations(self._session, self._host, self._interceptor) # type: ignore + + class _ListOperations( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListOperations, + AsyncFeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeatureOnlineStoreAdminServiceRestTransport.ListOperations" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.ListOperationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Call the list operations method over HTTP. + + Args: + request (operations_pb2.ListOperationsRequest): + The request object for ListOperations method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.ListOperationsResponse: Response from ListOperations method. + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListOperations._get_http_options() + ) + + request, metadata = await self._interceptor.pre_list_operations( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListOperations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListOperations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "ListOperations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureOnlineStoreAdminServiceRestTransport._ListOperations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = operations_pb2.ListOperationsResponse() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_list_operations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "ListOperations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def wait_operation(self): + return self._WaitOperation(self._session, self._host, self._interceptor) # type: ignore + + class _WaitOperation( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseWaitOperation, + AsyncFeatureOnlineStoreAdminServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeatureOnlineStoreAdminServiceRestTransport.WaitOperation" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.WaitOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the wait operation method over HTTP. + + Args: + request (operations_pb2.WaitOperationRequest): + The request object for WaitOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from WaitOperation method. + """ + + http_options = ( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseWaitOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_wait_operation( + request, metadata + ) + transcoded_request = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseWaitOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseWaitOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "WaitOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureOnlineStoreAdminServiceRestTransport._WaitOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_wait_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureOnlineStoreAdminServiceAsyncClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService", + "rpcName": "WaitOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def kind(self) -> str: + return "rest_asyncio" + + async def close(self): + await self._session.close() diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/rest_base.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/rest_base.py new file mode 100644 index 0000000000000000000000000000000000000000..3751ad286da6151f122d260063d73dc5e0767de7 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_admin_service/transports/rest_base.py @@ -0,0 +1,3178 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import json # type: ignore +from google.api_core import path_template +from google.api_core import gapic_v1 + +from google.protobuf import json_format +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore +from .base import FeatureOnlineStoreAdminServiceTransport, DEFAULT_CLIENT_INFO + +import re +from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union + + +from google.cloud.aiplatform_v1.types import feature_online_store +from google.cloud.aiplatform_v1.types import feature_online_store_admin_service +from google.cloud.aiplatform_v1.types import feature_view +from google.cloud.aiplatform_v1.types import feature_view_sync +from google.longrunning import operations_pb2 # type: ignore + + +class _BaseFeatureOnlineStoreAdminServiceRestTransport( + FeatureOnlineStoreAdminServiceTransport +): + """Base REST backend transport for FeatureOnlineStoreAdminService. + + Note: This class is not meant to be used directly. Use its sync and + async sub-classes instead. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + """ + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[Any] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + url_scheme: str = "https", + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[Any]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + url_scheme: the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + maybe_url_match = re.match("^(?Phttp(?:s)?://)?(?P.*)$", host) + if maybe_url_match is None: + raise ValueError( + f"Unexpected hostname structure: {host}" + ) # pragma: NO COVER + + url_match_items = maybe_url_match.groupdict() + + host = f"{url_scheme}://{host}" if not url_match_items["scheme"] else host + + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + class _BaseCreateFeatureOnlineStore: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + "featureOnlineStoreId": "", + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{parent=projects/*/locations/*}/featureOnlineStores", + "body": "feature_online_store", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = ( + feature_online_store_admin_service.CreateFeatureOnlineStoreRequest.pb( + request + ) + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request["body"], use_integers_for_enums=True + ) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCreateFeatureOnlineStore._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseCreateFeatureView: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + "featureViewId": "", + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{parent=projects/*/locations/*/featureOnlineStores/*}/featureViews", + "body": "feature_view", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = feature_online_store_admin_service.CreateFeatureViewRequest.pb( + request + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request["body"], use_integers_for_enums=True + ) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseCreateFeatureView._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseDeleteFeatureOnlineStore: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = ( + feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest.pb( + request + ) + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseDeleteFeatureOnlineStore._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseDeleteFeatureView: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = feature_online_store_admin_service.DeleteFeatureViewRequest.pb( + request + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseDeleteFeatureView._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseGetFeatureOnlineStore: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = ( + feature_online_store_admin_service.GetFeatureOnlineStoreRequest.pb( + request + ) + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetFeatureOnlineStore._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseGetFeatureView: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = feature_online_store_admin_service.GetFeatureViewRequest.pb( + request + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetFeatureView._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseGetFeatureViewSync: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/featureViewSyncs/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = ( + feature_online_store_admin_service.GetFeatureViewSyncRequest.pb(request) + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseGetFeatureViewSync._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseListFeatureOnlineStores: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/v1/{parent=projects/*/locations/*}/featureOnlineStores", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = ( + feature_online_store_admin_service.ListFeatureOnlineStoresRequest.pb( + request + ) + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListFeatureOnlineStores._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseListFeatureViews: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/v1/{parent=projects/*/locations/*/featureOnlineStores/*}/featureViews", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = feature_online_store_admin_service.ListFeatureViewsRequest.pb( + request + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListFeatureViews._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseListFeatureViewSyncs: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/v1/{parent=projects/*/locations/*/featureOnlineStores/*/featureViews/*}/featureViewSyncs", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = ( + feature_online_store_admin_service.ListFeatureViewSyncsRequest.pb( + request + ) + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseListFeatureViewSyncs._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseSyncFeatureView: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{feature_view=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:sync", + "body": "*", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = feature_online_store_admin_service.SyncFeatureViewRequest.pb( + request + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request["body"], use_integers_for_enums=True + ) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseSyncFeatureView._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseUpdateFeatureOnlineStore: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "patch", + "uri": "/v1/{feature_online_store.name=projects/*/locations/*/featureOnlineStores/*}", + "body": "feature_online_store", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = ( + feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest.pb( + request + ) + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request["body"], use_integers_for_enums=True + ) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseUpdateFeatureOnlineStore._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseUpdateFeatureView: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "patch", + "uri": "/v1/{feature_view.name=projects/*/locations/*/featureOnlineStores/*/featureViews/*}", + "body": "feature_view", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = feature_online_store_admin_service.UpdateFeatureViewRequest.pb( + request + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request["body"], use_integers_for_enums=True + ) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseFeatureOnlineStoreAdminServiceRestTransport._BaseUpdateFeatureView._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseGetLocation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseListLocations: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*}/locations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*}/locations", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseGetIamPolicy: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/models/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/models/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/endpoints/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/publishers/*/models/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureGroups/*}:getIamPolicy", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseSetIamPolicy: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/models/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/models/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/endpoints/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureGroups/*}:setIamPolicy", + "body": "*", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + body = json.dumps(transcoded_request["body"]) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseTestIamPermissions: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/models/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/models/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/endpoints/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureGroups/*}:testIamPermissions", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseCancelOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseDeleteOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensions/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseGetOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseListOperations: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/agents/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/apps/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensions/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/schedules/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/schedules/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=reasoningEngines/*/sessions/*}/operations", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseWaitOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:wait", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + +__all__ = ("_BaseFeatureOnlineStoreAdminServiceRestTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_service/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_service/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..25a187e72297318efb917abd80b2bb0d84a40cdd --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import FeatureOnlineStoreServiceClient +from .async_client import FeatureOnlineStoreServiceAsyncClient + +__all__ = ( + "FeatureOnlineStoreServiceClient", + "FeatureOnlineStoreServiceAsyncClient", +) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_service/async_client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_service/async_client.py new file mode 100644 index 0000000000000000000000000000000000000000..00efb7593d41f6b757631074e1a7410c57e68e92 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_service/async_client.py @@ -0,0 +1,1454 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging as std_logging +from collections import OrderedDict +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + AsyncIterable, + Awaitable, + AsyncIterator, + Sequence, + Tuple, + Type, + Union, +) + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.types import feature_online_store_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.protobuf.struct_pb2 as struct_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +import google.rpc.status_pb2 as status_pb2 # type: ignore +from .transports.base import FeatureOnlineStoreServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import FeatureOnlineStoreServiceGrpcAsyncIOTransport +from .client import FeatureOnlineStoreServiceClient + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class FeatureOnlineStoreServiceAsyncClient: + """A service for fetching feature values from the online store.""" + + _client: FeatureOnlineStoreServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = FeatureOnlineStoreServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = FeatureOnlineStoreServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = ( + FeatureOnlineStoreServiceClient._DEFAULT_ENDPOINT_TEMPLATE + ) + _DEFAULT_UNIVERSE = FeatureOnlineStoreServiceClient._DEFAULT_UNIVERSE + + feature_view_path = staticmethod(FeatureOnlineStoreServiceClient.feature_view_path) + parse_feature_view_path = staticmethod( + FeatureOnlineStoreServiceClient.parse_feature_view_path + ) + common_billing_account_path = staticmethod( + FeatureOnlineStoreServiceClient.common_billing_account_path + ) + parse_common_billing_account_path = staticmethod( + FeatureOnlineStoreServiceClient.parse_common_billing_account_path + ) + common_folder_path = staticmethod( + FeatureOnlineStoreServiceClient.common_folder_path + ) + parse_common_folder_path = staticmethod( + FeatureOnlineStoreServiceClient.parse_common_folder_path + ) + common_organization_path = staticmethod( + FeatureOnlineStoreServiceClient.common_organization_path + ) + parse_common_organization_path = staticmethod( + FeatureOnlineStoreServiceClient.parse_common_organization_path + ) + common_project_path = staticmethod( + FeatureOnlineStoreServiceClient.common_project_path + ) + parse_common_project_path = staticmethod( + FeatureOnlineStoreServiceClient.parse_common_project_path + ) + common_location_path = staticmethod( + FeatureOnlineStoreServiceClient.common_location_path + ) + parse_common_location_path = staticmethod( + FeatureOnlineStoreServiceClient.parse_common_location_path + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + FeatureOnlineStoreServiceAsyncClient: The constructed client. + """ + sa_info_func = ( + FeatureOnlineStoreServiceClient.from_service_account_info.__func__ # type: ignore + ) + return sa_info_func(FeatureOnlineStoreServiceAsyncClient, info, *args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + FeatureOnlineStoreServiceAsyncClient: The constructed client. + """ + sa_file_func = ( + FeatureOnlineStoreServiceClient.from_service_account_file.__func__ # type: ignore + ) + return sa_file_func( + FeatureOnlineStoreServiceAsyncClient, filename, *args, **kwargs + ) + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[ClientOptions] = None + ): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return FeatureOnlineStoreServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> FeatureOnlineStoreServiceTransport: + """Returns the transport used by the client instance. + + Returns: + FeatureOnlineStoreServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = FeatureOnlineStoreServiceClient.get_transport_class + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + FeatureOnlineStoreServiceTransport, + Callable[..., FeatureOnlineStoreServiceTransport], + ] + ] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the feature online store service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,FeatureOnlineStoreServiceTransport,Callable[..., FeatureOnlineStoreServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport to use. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the FeatureOnlineStoreServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = FeatureOnlineStoreServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.FeatureOnlineStoreServiceAsyncClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreService", + "universeDomain": getattr( + self._client._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._client._transport._credentials).__module__}.{type(self._client._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, "get_cred_info", lambda: None + )(), + } + if hasattr(self._client._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreService", + "credentialsType": None, + } + ), + ) + + async def fetch_feature_values( + self, + request: Optional[ + Union[feature_online_store_service.FetchFeatureValuesRequest, dict] + ] = None, + *, + feature_view: Optional[str] = None, + data_key: Optional[feature_online_store_service.FeatureViewDataKey] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_online_store_service.FetchFeatureValuesResponse: + r"""Fetch feature values under a FeatureView. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_fetch_feature_values(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.FetchFeatureValuesRequest( + feature_view="feature_view_value", + ) + + # Make the request + response = await client.fetch_feature_values(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.FetchFeatureValuesRequest, dict]]): + The request object. Request message for + [FeatureOnlineStoreService.FetchFeatureValues][google.cloud.aiplatform.v1.FeatureOnlineStoreService.FetchFeatureValues]. + All the features under the requested feature view will + be returned. + feature_view (:class:`str`): + Required. FeatureView resource format + ``projects/{project}/locations/{location}/featureOnlineStores/{featureOnlineStore}/featureViews/{featureView}`` + + This corresponds to the ``feature_view`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + data_key (:class:`google.cloud.aiplatform_v1.types.FeatureViewDataKey`): + Optional. The request key to fetch + feature values for. + + This corresponds to the ``data_key`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.FetchFeatureValuesResponse: + Response message for + [FeatureOnlineStoreService.FetchFeatureValues][google.cloud.aiplatform.v1.FeatureOnlineStoreService.FetchFeatureValues] + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [feature_view, data_key] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_service.FetchFeatureValuesRequest + ): + request = feature_online_store_service.FetchFeatureValuesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if feature_view is not None: + request.feature_view = feature_view + if data_key is not None: + request.data_key = data_key + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.fetch_feature_values + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("feature_view", request.feature_view),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def search_nearest_entities( + self, + request: Optional[ + Union[feature_online_store_service.SearchNearestEntitiesRequest, dict] + ] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_online_store_service.SearchNearestEntitiesResponse: + r"""Search the nearest entities under a FeatureView. + Search only works for indexable feature view; if a + feature view isn't indexable, returns Invalid argument + response. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_search_nearest_entities(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreServiceAsyncClient() + + # Initialize request argument(s) + query = aiplatform_v1.NearestNeighborQuery() + query.entity_id = "entity_id_value" + + request = aiplatform_v1.SearchNearestEntitiesRequest( + feature_view="feature_view_value", + query=query, + ) + + # Make the request + response = await client.search_nearest_entities(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.SearchNearestEntitiesRequest, dict]]): + The request object. The request message for + [FeatureOnlineStoreService.SearchNearestEntities][google.cloud.aiplatform.v1.FeatureOnlineStoreService.SearchNearestEntities]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.SearchNearestEntitiesResponse: + Response message for + [FeatureOnlineStoreService.SearchNearestEntities][google.cloud.aiplatform.v1.FeatureOnlineStoreService.SearchNearestEntities] + + """ + # Create or coerce a protobuf request object. + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_service.SearchNearestEntitiesRequest + ): + request = feature_online_store_service.SearchNearestEntitiesRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.search_nearest_entities + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("feature_view", request.feature_view),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def feature_view_direct_write( + self, + requests: Optional[ + AsyncIterator[feature_online_store_service.FeatureViewDirectWriteRequest] + ] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> Awaitable[ + AsyncIterable[feature_online_store_service.FeatureViewDirectWriteResponse] + ]: + r"""Bidirectional streaming RPC to directly write to + feature values in a feature view. Requests may not have + a one-to-one mapping to responses and responses may be + returned out-of-order to reduce latency. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_feature_view_direct_write(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.FeatureViewDirectWriteRequest( + ) + + # This method expects an iterator which contains + # 'aiplatform_v1.FeatureViewDirectWriteRequest' objects + # Here we create a generator that yields a single `request` for + # demonstrative purposes. + requests = [request] + + def request_generator(): + for request in requests: + yield request + + # Make the request + stream = await client.feature_view_direct_write(requests=request_generator()) + + # Handle the response + async for response in stream: + print(response) + + Args: + requests (AsyncIterator[`google.cloud.aiplatform_v1.types.FeatureViewDirectWriteRequest`]): + The request object AsyncIterator. Request message for + [FeatureOnlineStoreService.FeatureViewDirectWrite][google.cloud.aiplatform.v1.FeatureOnlineStoreService.FeatureViewDirectWrite]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + AsyncIterable[google.cloud.aiplatform_v1.types.FeatureViewDirectWriteResponse]: + Response message for + [FeatureOnlineStoreService.FeatureViewDirectWrite][google.cloud.aiplatform.v1.FeatureOnlineStoreService.FeatureViewDirectWrite]. + + """ + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.feature_view_direct_write + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + (gapic_v1.routing_header.to_grpc_metadata(()),) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = rpc( + requests, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def generate_fetch_access_token( + self, + request: Optional[ + Union[feature_online_store_service.GenerateFetchAccessTokenRequest, dict] + ] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_online_store_service.GenerateFetchAccessTokenResponse: + r"""RPC to generate an access token for the given feature + view. FeatureViews under the same FeatureOnlineStore + share the same access token. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_generate_fetch_access_token(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GenerateFetchAccessTokenRequest( + ) + + # Make the request + response = await client.generate_fetch_access_token(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GenerateFetchAccessTokenRequest, dict]]): + The request object. Request message for + [FeatureOnlineStoreService.GenerateFetchAccessToken][google.cloud.aiplatform.v1.FeatureOnlineStoreService.GenerateFetchAccessToken]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.GenerateFetchAccessTokenResponse: + Response message for + [FeatureOnlineStoreService.GenerateFetchAccessToken][google.cloud.aiplatform.v1.FeatureOnlineStoreService.GenerateFetchAccessToken]. + + """ + # Create or coerce a protobuf request object. + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_service.GenerateFetchAccessTokenRequest + ): + request = feature_online_store_service.GenerateFetchAccessTokenRequest( + request + ) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.generate_fetch_access_token + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("feature_view", request.feature_view),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[ + self._client._transport.test_iam_permissions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self) -> "FeatureOnlineStoreServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +__all__ = ("FeatureOnlineStoreServiceAsyncClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_service/client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_service/client.py new file mode 100644 index 0000000000000000000000000000000000000000..5aa62489c2c0c7bbdab551f4fbe2f06fe385d113 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_online_store_service/client.py @@ -0,0 +1,1952 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from http import HTTPStatus +import json +import logging as std_logging +import os +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Iterable, + Iterator, + Sequence, + Tuple, + Type, + Union, + cast, +) +import warnings + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + +from google.cloud.aiplatform_v1.types import feature_online_store_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.protobuf.struct_pb2 as struct_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +import google.rpc.status_pb2 as status_pb2 # type: ignore +from .transports.base import FeatureOnlineStoreServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import FeatureOnlineStoreServiceGrpcTransport +from .transports.grpc_asyncio import FeatureOnlineStoreServiceGrpcAsyncIOTransport +from .transports.rest import FeatureOnlineStoreServiceRestTransport + +try: + from .transports.rest_asyncio import AsyncFeatureOnlineStoreServiceRestTransport + + HAS_ASYNC_REST_DEPENDENCIES = True +except ImportError as e: # pragma: NO COVER + HAS_ASYNC_REST_DEPENDENCIES = False + ASYNC_REST_EXCEPTION = e + + +class FeatureOnlineStoreServiceClientMeta(type): + """Metaclass for the FeatureOnlineStoreService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + + _transport_registry = ( + OrderedDict() + ) # type: Dict[str, Type[FeatureOnlineStoreServiceTransport]] + _transport_registry["grpc"] = FeatureOnlineStoreServiceGrpcTransport + _transport_registry["grpc_asyncio"] = FeatureOnlineStoreServiceGrpcAsyncIOTransport + _transport_registry["rest"] = FeatureOnlineStoreServiceRestTransport + if HAS_ASYNC_REST_DEPENDENCIES: # pragma: NO COVER + _transport_registry["rest_asyncio"] = ( + AsyncFeatureOnlineStoreServiceRestTransport + ) + + def get_transport_class( + cls, + label: Optional[str] = None, + ) -> Type[FeatureOnlineStoreServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if ( + label == "rest_asyncio" and not HAS_ASYNC_REST_DEPENDENCIES + ): # pragma: NO COVER + raise ASYNC_REST_EXCEPTION + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class FeatureOnlineStoreServiceClient(metaclass=FeatureOnlineStoreServiceClientMeta): + """A service for fetching feature values from the online store.""" + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "aiplatform.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @staticmethod + def _use_client_cert_effective(): + """Returns whether client certificate should be used for mTLS if the + google-auth version supports should_use_client_cert automatic mTLS enablement. + + Alternatively, read from the GOOGLE_API_USE_CLIENT_CERTIFICATE env var. + + Returns: + bool: whether client certificate should be used for mTLS + Raises: + ValueError: (If using a version of google-auth without should_use_client_cert and + GOOGLE_API_USE_CLIENT_CERTIFICATE is set to an unexpected value.) + """ + # check if google-auth version supports should_use_client_cert for automatic mTLS enablement + if hasattr(mtls, "should_use_client_cert"): # pragma: NO COVER + return mtls.should_use_client_cert() + else: # pragma: NO COVER + # if unsupported, fallback to reading from env var + use_client_cert_str = os.getenv( + "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false" + ).lower() + if use_client_cert_str not in ("true", "false"): + raise ValueError( + "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be" + " either `true` or `false`" + ) + return use_client_cert_str == "true" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + FeatureOnlineStoreServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + FeatureOnlineStoreServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file(filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> FeatureOnlineStoreServiceTransport: + """Returns the transport used by the client instance. + + Returns: + FeatureOnlineStoreServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def feature_view_path( + project: str, + location: str, + feature_online_store: str, + feature_view: str, + ) -> str: + """Returns a fully-qualified feature_view string.""" + return "projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}".format( + project=project, + location=location, + feature_online_store=feature_online_store, + feature_view=feature_view, + ) + + @staticmethod + def parse_feature_view_path(path: str) -> Dict[str, str]: + """Parses a feature_view path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/featureOnlineStores/(?P.+?)/featureViews/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path( + billing_account: str, + ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format( + billing_account=billing_account, + ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str, str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path( + folder: str, + ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format( + folder=folder, + ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str, str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path( + organization: str, + ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format( + organization=organization, + ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str, str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path( + project: str, + ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format( + project=project, + ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str, str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path( + project: str, + location: str, + ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format( + project=project, + location=location, + ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str, str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[client_options_lib.ClientOptions] = None + ): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn( + "get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning, + ) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = FeatureOnlineStoreServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert: + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = FeatureOnlineStoreServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + return use_client_cert, use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint( + api_override, client_cert_source, universe_domain, use_mtls_endpoint + ): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + _default_universe = FeatureOnlineStoreServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError( + f"mTLS is not supported in any universe other than {_default_universe}." + ) + api_endpoint = FeatureOnlineStoreServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = ( + FeatureOnlineStoreServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format( + UNIVERSE_DOMAIN=universe_domain + ) + ) + return api_endpoint + + @staticmethod + def _get_universe_domain( + client_universe_domain: Optional[str], universe_domain_env: Optional[str] + ) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = FeatureOnlineStoreServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + + # NOTE (b/349488459): universe validation is disabled until further notice. + return True + + def _add_cred_info_for_auth_errors( + self, error: core_exceptions.GoogleAPICallError + ) -> None: + """Adds credential info string to error details for 401/403/404 errors. + + Args: + error (google.api_core.exceptions.GoogleAPICallError): The error to add the cred info. + """ + if error.code not in [ + HTTPStatus.UNAUTHORIZED, + HTTPStatus.FORBIDDEN, + HTTPStatus.NOT_FOUND, + ]: + return + + cred = self._transport._credentials + + # get_cred_info is only available in google-auth>=2.35.0 + if not hasattr(cred, "get_cred_info"): + return + + # ignore the type check since pypy test fails when get_cred_info + # is not available + cred_info = cred.get_cred_info() # type: ignore + if cred_info and hasattr(error._details, "append"): + error._details.append(json.dumps(cred_info)) + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + FeatureOnlineStoreServiceTransport, + Callable[..., FeatureOnlineStoreServiceTransport], + ] + ] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the feature online store service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,FeatureOnlineStoreServiceTransport,Callable[..., FeatureOnlineStoreServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the FeatureOnlineStoreServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast( + client_options_lib.ClientOptions, self._client_options + ) + + universe_domain_opt = getattr(self._client_options, "universe_domain", None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = ( + FeatureOnlineStoreServiceClient._read_environment_variables() + ) + self._client_cert_source = ( + FeatureOnlineStoreServiceClient._get_client_cert_source( + self._client_options.client_cert_source, self._use_client_cert + ) + ) + self._universe_domain = FeatureOnlineStoreServiceClient._get_universe_domain( + universe_domain_opt, self._universe_domain_env + ) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + if CLIENT_LOGGING_SUPPORTED: # pragma: NO COVER + # Setup logging. + client_logging.initialize_logging() + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError( + "client_options.api_key and credentials are mutually exclusive" + ) + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance(transport, FeatureOnlineStoreServiceTransport) + if transport_provided: + # transport is a FeatureOnlineStoreServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError( + "When providing a transport instance, " + "provide its credentials directly." + ) + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(FeatureOnlineStoreServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = ( + self._api_endpoint + or FeatureOnlineStoreServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint, + ) + ) + + if not transport_provided: + transport_init: Union[ + Type[FeatureOnlineStoreServiceTransport], + Callable[..., FeatureOnlineStoreServiceTransport], + ] = ( + FeatureOnlineStoreServiceClient.get_transport_class(transport) + if isinstance(transport, str) or transport is None + else cast(Callable[..., FeatureOnlineStoreServiceTransport], transport) + ) + + if "rest_asyncio" in str(transport_init): + unsupported_params = { + "google.api_core.client_options.ClientOptions.credentials_file": self._client_options.credentials_file, + "google.api_core.client_options.ClientOptions.scopes": self._client_options.scopes, + "google.api_core.client_options.ClientOptions.quota_project_id": self._client_options.quota_project_id, + "google.api_core.client_options.ClientOptions.client_cert_source": self._client_options.client_cert_source, + "google.api_core.client_options.ClientOptions.api_audience": self._client_options.api_audience, + } + provided_unsupported_params = [ + name + for name, value in unsupported_params.items() + if value is not None + ] + if provided_unsupported_params: + raise core_exceptions.AsyncRestUnsupportedParameterError( # type: ignore + f"The following provided parameters are not supported for `transport=rest_asyncio`: {', '.join(provided_unsupported_params)}" + ) + self._transport = transport_init( + credentials=credentials, + host=self._api_endpoint, + client_info=client_info, + ) + return + + import google.auth._default # type: ignore + + if api_key_value and hasattr( + google.auth._default, "get_api_key_credentials" + ): + credentials = google.auth._default.get_api_key_credentials( + api_key_value + ) + + # initialize with the provided callable or the passed in class + self._transport = transport_init( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + if "async" not in str(self._transport): + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.FeatureOnlineStoreServiceClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreService", + "universeDomain": getattr( + self._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._transport._credentials).__module__}.{type(self._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, + "get_cred_info", + lambda: None, + )(), + } + if hasattr(self._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.FeatureOnlineStoreService", + "credentialsType": None, + } + ), + ) + + def fetch_feature_values( + self, + request: Optional[ + Union[feature_online_store_service.FetchFeatureValuesRequest, dict] + ] = None, + *, + feature_view: Optional[str] = None, + data_key: Optional[feature_online_store_service.FeatureViewDataKey] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_online_store_service.FetchFeatureValuesResponse: + r"""Fetch feature values under a FeatureView. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_fetch_feature_values(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.FetchFeatureValuesRequest( + feature_view="feature_view_value", + ) + + # Make the request + response = client.fetch_feature_values(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.FetchFeatureValuesRequest, dict]): + The request object. Request message for + [FeatureOnlineStoreService.FetchFeatureValues][google.cloud.aiplatform.v1.FeatureOnlineStoreService.FetchFeatureValues]. + All the features under the requested feature view will + be returned. + feature_view (str): + Required. FeatureView resource format + ``projects/{project}/locations/{location}/featureOnlineStores/{featureOnlineStore}/featureViews/{featureView}`` + + This corresponds to the ``feature_view`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + data_key (google.cloud.aiplatform_v1.types.FeatureViewDataKey): + Optional. The request key to fetch + feature values for. + + This corresponds to the ``data_key`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.FetchFeatureValuesResponse: + Response message for + [FeatureOnlineStoreService.FetchFeatureValues][google.cloud.aiplatform.v1.FeatureOnlineStoreService.FetchFeatureValues] + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [feature_view, data_key] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_service.FetchFeatureValuesRequest + ): + request = feature_online_store_service.FetchFeatureValuesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if feature_view is not None: + request.feature_view = feature_view + if data_key is not None: + request.data_key = data_key + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.fetch_feature_values] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("feature_view", request.feature_view),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def search_nearest_entities( + self, + request: Optional[ + Union[feature_online_store_service.SearchNearestEntitiesRequest, dict] + ] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_online_store_service.SearchNearestEntitiesResponse: + r"""Search the nearest entities under a FeatureView. + Search only works for indexable feature view; if a + feature view isn't indexable, returns Invalid argument + response. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_search_nearest_entities(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreServiceClient() + + # Initialize request argument(s) + query = aiplatform_v1.NearestNeighborQuery() + query.entity_id = "entity_id_value" + + request = aiplatform_v1.SearchNearestEntitiesRequest( + feature_view="feature_view_value", + query=query, + ) + + # Make the request + response = client.search_nearest_entities(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.SearchNearestEntitiesRequest, dict]): + The request object. The request message for + [FeatureOnlineStoreService.SearchNearestEntities][google.cloud.aiplatform.v1.FeatureOnlineStoreService.SearchNearestEntities]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.SearchNearestEntitiesResponse: + Response message for + [FeatureOnlineStoreService.SearchNearestEntities][google.cloud.aiplatform.v1.FeatureOnlineStoreService.SearchNearestEntities] + + """ + # Create or coerce a protobuf request object. + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_service.SearchNearestEntitiesRequest + ): + request = feature_online_store_service.SearchNearestEntitiesRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.search_nearest_entities] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("feature_view", request.feature_view),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def feature_view_direct_write( + self, + requests: Optional[ + Iterator[feature_online_store_service.FeatureViewDirectWriteRequest] + ] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> Iterable[feature_online_store_service.FeatureViewDirectWriteResponse]: + r"""Bidirectional streaming RPC to directly write to + feature values in a feature view. Requests may not have + a one-to-one mapping to responses and responses may be + returned out-of-order to reduce latency. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_feature_view_direct_write(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.FeatureViewDirectWriteRequest( + ) + + # This method expects an iterator which contains + # 'aiplatform_v1.FeatureViewDirectWriteRequest' objects + # Here we create a generator that yields a single `request` for + # demonstrative purposes. + requests = [request] + + def request_generator(): + for request in requests: + yield request + + # Make the request + stream = client.feature_view_direct_write(requests=request_generator()) + + # Handle the response + for response in stream: + print(response) + + Args: + requests (Iterator[google.cloud.aiplatform_v1.types.FeatureViewDirectWriteRequest]): + The request object iterator. Request message for + [FeatureOnlineStoreService.FeatureViewDirectWrite][google.cloud.aiplatform.v1.FeatureOnlineStoreService.FeatureViewDirectWrite]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + Iterable[google.cloud.aiplatform_v1.types.FeatureViewDirectWriteResponse]: + Response message for + [FeatureOnlineStoreService.FeatureViewDirectWrite][google.cloud.aiplatform.v1.FeatureOnlineStoreService.FeatureViewDirectWrite]. + + """ + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.feature_view_direct_write + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + (gapic_v1.routing_header.to_grpc_metadata(()),) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + requests, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def generate_fetch_access_token( + self, + request: Optional[ + Union[feature_online_store_service.GenerateFetchAccessTokenRequest, dict] + ] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_online_store_service.GenerateFetchAccessTokenResponse: + r"""RPC to generate an access token for the given feature + view. FeatureViews under the same FeatureOnlineStore + share the same access token. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_generate_fetch_access_token(): + # Create a client + client = aiplatform_v1.FeatureOnlineStoreServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GenerateFetchAccessTokenRequest( + ) + + # Make the request + response = client.generate_fetch_access_token(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GenerateFetchAccessTokenRequest, dict]): + The request object. Request message for + [FeatureOnlineStoreService.GenerateFetchAccessToken][google.cloud.aiplatform.v1.FeatureOnlineStoreService.GenerateFetchAccessToken]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.GenerateFetchAccessTokenResponse: + Response message for + [FeatureOnlineStoreService.GenerateFetchAccessToken][google.cloud.aiplatform.v1.FeatureOnlineStoreService.GenerateFetchAccessToken]. + + """ + # Create or coerce a protobuf request object. + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, feature_online_store_service.GenerateFetchAccessTokenRequest + ): + request = feature_online_store_service.GenerateFetchAccessTokenRequest( + request + ) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.generate_fetch_access_token + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("feature_view", request.feature_view),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def __enter__(self) -> "FeatureOnlineStoreServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + +__all__ = ("FeatureOnlineStoreServiceClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..6b1b86a740f5049b269523ed4b923b11d00b943f --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import FeatureRegistryServiceClient +from .async_client import FeatureRegistryServiceAsyncClient + +__all__ = ( + "FeatureRegistryServiceClient", + "FeatureRegistryServiceAsyncClient", +) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/__pycache__/__init__.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/__pycache__/__init__.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..6926dfb6539bd506ff76d1e7c3cb30ff9f24f24d Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/__pycache__/__init__.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/__pycache__/pagers.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/__pycache__/pagers.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..acf0db7ac66783deaf3cf7c3169858df50194da7 Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/__pycache__/pagers.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/async_client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/async_client.py new file mode 100644 index 0000000000000000000000000000000000000000..65ef956dee3372d438f7c75fd35feda21816a433 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/async_client.py @@ -0,0 +1,2606 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging as std_logging +from collections import OrderedDict +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, +) + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.services.feature_registry_service import pagers +from google.cloud.aiplatform_v1.types import feature +from google.cloud.aiplatform_v1.types import feature as gca_feature +from google.cloud.aiplatform_v1.types import feature_group +from google.cloud.aiplatform_v1.types import feature_group as gca_feature_group +from google.cloud.aiplatform_v1.types import feature_registry_service +from google.cloud.aiplatform_v1.types import featurestore_service +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +from .transports.base import FeatureRegistryServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import FeatureRegistryServiceGrpcAsyncIOTransport +from .client import FeatureRegistryServiceClient + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class FeatureRegistryServiceAsyncClient: + """The service that handles CRUD and List for resources for + FeatureRegistry. + """ + + _client: FeatureRegistryServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = FeatureRegistryServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = FeatureRegistryServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = FeatureRegistryServiceClient._DEFAULT_ENDPOINT_TEMPLATE + _DEFAULT_UNIVERSE = FeatureRegistryServiceClient._DEFAULT_UNIVERSE + + feature_path = staticmethod(FeatureRegistryServiceClient.feature_path) + parse_feature_path = staticmethod(FeatureRegistryServiceClient.parse_feature_path) + feature_group_path = staticmethod(FeatureRegistryServiceClient.feature_group_path) + parse_feature_group_path = staticmethod( + FeatureRegistryServiceClient.parse_feature_group_path + ) + common_billing_account_path = staticmethod( + FeatureRegistryServiceClient.common_billing_account_path + ) + parse_common_billing_account_path = staticmethod( + FeatureRegistryServiceClient.parse_common_billing_account_path + ) + common_folder_path = staticmethod(FeatureRegistryServiceClient.common_folder_path) + parse_common_folder_path = staticmethod( + FeatureRegistryServiceClient.parse_common_folder_path + ) + common_organization_path = staticmethod( + FeatureRegistryServiceClient.common_organization_path + ) + parse_common_organization_path = staticmethod( + FeatureRegistryServiceClient.parse_common_organization_path + ) + common_project_path = staticmethod(FeatureRegistryServiceClient.common_project_path) + parse_common_project_path = staticmethod( + FeatureRegistryServiceClient.parse_common_project_path + ) + common_location_path = staticmethod( + FeatureRegistryServiceClient.common_location_path + ) + parse_common_location_path = staticmethod( + FeatureRegistryServiceClient.parse_common_location_path + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + FeatureRegistryServiceAsyncClient: The constructed client. + """ + sa_info_func = ( + FeatureRegistryServiceClient.from_service_account_info.__func__ # type: ignore + ) + return sa_info_func(FeatureRegistryServiceAsyncClient, info, *args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + FeatureRegistryServiceAsyncClient: The constructed client. + """ + sa_file_func = ( + FeatureRegistryServiceClient.from_service_account_file.__func__ # type: ignore + ) + return sa_file_func( + FeatureRegistryServiceAsyncClient, filename, *args, **kwargs + ) + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[ClientOptions] = None + ): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return FeatureRegistryServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> FeatureRegistryServiceTransport: + """Returns the transport used by the client instance. + + Returns: + FeatureRegistryServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = FeatureRegistryServiceClient.get_transport_class + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + FeatureRegistryServiceTransport, + Callable[..., FeatureRegistryServiceTransport], + ] + ] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the feature registry service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,FeatureRegistryServiceTransport,Callable[..., FeatureRegistryServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport to use. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the FeatureRegistryServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = FeatureRegistryServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "universeDomain": getattr( + self._client._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._client._transport._credentials).__module__}.{type(self._client._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, "get_cred_info", lambda: None + )(), + } + if hasattr(self._client._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "credentialsType": None, + } + ), + ) + + async def create_feature_group( + self, + request: Optional[ + Union[feature_registry_service.CreateFeatureGroupRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + feature_group: Optional[gca_feature_group.FeatureGroup] = None, + feature_group_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Creates a new FeatureGroup in a given project and + location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_feature_group(): + # Create a client + client = aiplatform_v1.FeatureRegistryServiceAsyncClient() + + # Initialize request argument(s) + feature_group = aiplatform_v1.FeatureGroup() + feature_group.big_query.big_query_source.input_uri = "input_uri_value" + + request = aiplatform_v1.CreateFeatureGroupRequest( + parent="parent_value", + feature_group=feature_group, + feature_group_id="feature_group_id_value", + ) + + # Make the request + operation = client.create_feature_group(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateFeatureGroupRequest, dict]]): + The request object. Request message for + [FeatureRegistryService.CreateFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.CreateFeatureGroup]. + parent (:class:`str`): + Required. The resource name of the Location to create + FeatureGroups. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + feature_group (:class:`google.cloud.aiplatform_v1.types.FeatureGroup`): + Required. The FeatureGroup to create. + This corresponds to the ``feature_group`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + feature_group_id (:class:`str`): + Required. The ID to use for this FeatureGroup, which + will become the final component of the FeatureGroup's + resource name. + + This value may be up to 128 characters, and valid + characters are ``[a-z0-9_]``. The first character cannot + be a number. + + The value must be unique within the project and + location. + + This corresponds to the ``feature_group_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.aiplatform_v1.types.FeatureGroup` + Vertex AI Feature Group. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, feature_group, feature_group_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, feature_registry_service.CreateFeatureGroupRequest): + request = feature_registry_service.CreateFeatureGroupRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if feature_group is not None: + request.feature_group = feature_group + if feature_group_id is not None: + request.feature_group_id = feature_group_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_feature_group + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gca_feature_group.FeatureGroup, + metadata_type=feature_registry_service.CreateFeatureGroupOperationMetadata, + ) + + # Done; return the response. + return response + + async def get_feature_group( + self, + request: Optional[ + Union[feature_registry_service.GetFeatureGroupRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_group.FeatureGroup: + r"""Gets details of a single FeatureGroup. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_feature_group(): + # Create a client + client = aiplatform_v1.FeatureRegistryServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetFeatureGroupRequest( + name="name_value", + ) + + # Make the request + response = await client.get_feature_group(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetFeatureGroupRequest, dict]]): + The request object. Request message for + [FeatureRegistryService.GetFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.GetFeatureGroup]. + name (:class:`str`): + Required. The name of the + FeatureGroup resource. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.FeatureGroup: + Vertex AI Feature Group. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, feature_registry_service.GetFeatureGroupRequest): + request = feature_registry_service.GetFeatureGroupRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_feature_group + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_feature_groups( + self, + request: Optional[ + Union[feature_registry_service.ListFeatureGroupsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListFeatureGroupsAsyncPager: + r"""Lists FeatureGroups in a given project and location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_feature_groups(): + # Create a client + client = aiplatform_v1.FeatureRegistryServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListFeatureGroupsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_feature_groups(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListFeatureGroupsRequest, dict]]): + The request object. Request message for + [FeatureRegistryService.ListFeatureGroups][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatureGroups]. + parent (:class:`str`): + Required. The resource name of the Location to list + FeatureGroups. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.feature_registry_service.pagers.ListFeatureGroupsAsyncPager: + Response message for + [FeatureRegistryService.ListFeatureGroups][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatureGroups]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, feature_registry_service.ListFeatureGroupsRequest): + request = feature_registry_service.ListFeatureGroupsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_feature_groups + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListFeatureGroupsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def update_feature_group( + self, + request: Optional[ + Union[feature_registry_service.UpdateFeatureGroupRequest, dict] + ] = None, + *, + feature_group: Optional[gca_feature_group.FeatureGroup] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Updates the parameters of a single FeatureGroup. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_update_feature_group(): + # Create a client + client = aiplatform_v1.FeatureRegistryServiceAsyncClient() + + # Initialize request argument(s) + feature_group = aiplatform_v1.FeatureGroup() + feature_group.big_query.big_query_source.input_uri = "input_uri_value" + + request = aiplatform_v1.UpdateFeatureGroupRequest( + feature_group=feature_group, + ) + + # Make the request + operation = client.update_feature_group(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UpdateFeatureGroupRequest, dict]]): + The request object. Request message for + [FeatureRegistryService.UpdateFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.UpdateFeatureGroup]. + feature_group (:class:`google.cloud.aiplatform_v1.types.FeatureGroup`): + Required. The FeatureGroup's ``name`` field is used to + identify the FeatureGroup to be updated. Format: + ``projects/{project}/locations/{location}/featureGroups/{feature_group}`` + + This corresponds to the ``feature_group`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Field mask is used to specify the fields to be + overwritten in the FeatureGroup resource by the update. + The fields specified in the update_mask are relative to + the resource, not the full request. A field will be + overwritten if it is in the mask. If the user does not + provide a mask then only the non-empty fields present in + the request will be overwritten. Set the update_mask to + ``*`` to override all fields. + + Updatable fields: + + - ``labels`` + - ``description`` + - ``big_query`` + - ``big_query.entity_id_columns`` + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.aiplatform_v1.types.FeatureGroup` + Vertex AI Feature Group. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [feature_group, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, feature_registry_service.UpdateFeatureGroupRequest): + request = feature_registry_service.UpdateFeatureGroupRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if feature_group is not None: + request.feature_group = feature_group + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.update_feature_group + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("feature_group.name", request.feature_group.name),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gca_feature_group.FeatureGroup, + metadata_type=feature_registry_service.UpdateFeatureGroupOperationMetadata, + ) + + # Done; return the response. + return response + + async def delete_feature_group( + self, + request: Optional[ + Union[feature_registry_service.DeleteFeatureGroupRequest, dict] + ] = None, + *, + name: Optional[str] = None, + force: Optional[bool] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a single FeatureGroup. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_feature_group(): + # Create a client + client = aiplatform_v1.FeatureRegistryServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteFeatureGroupRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_feature_group(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteFeatureGroupRequest, dict]]): + The request object. Request message for + [FeatureRegistryService.DeleteFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.DeleteFeatureGroup]. + name (:class:`str`): + Required. The name of the FeatureGroup to be deleted. + Format: + ``projects/{project}/locations/{location}/featureGroups/{feature_group}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + force (:class:`bool`): + If set to true, any Features under + this FeatureGroup will also be deleted. + (Otherwise, the request will only work + if the FeatureGroup has no Features.) + + This corresponds to the ``force`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name, force] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, feature_registry_service.DeleteFeatureGroupRequest): + request = feature_registry_service.DeleteFeatureGroupRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if force is not None: + request.force = force + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_feature_group + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def create_feature( + self, + request: Optional[ + Union[featurestore_service.CreateFeatureRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + feature: Optional[gca_feature.Feature] = None, + feature_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Creates a new Feature in a given FeatureGroup. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_feature(): + # Create a client + client = aiplatform_v1.FeatureRegistryServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.CreateFeatureRequest( + parent="parent_value", + feature_id="feature_id_value", + ) + + # Make the request + operation = client.create_feature(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateFeatureRequest, dict]]): + The request object. Request message for + [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeature]. + Request message for + [FeatureRegistryService.CreateFeature][google.cloud.aiplatform.v1.FeatureRegistryService.CreateFeature]. + parent (:class:`str`): + Required. The resource name of the EntityType or + FeatureGroup to create a Feature. Format for entity_type + as parent: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`` + Format for feature_group as parent: + ``projects/{project}/locations/{location}/featureGroups/{feature_group}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + feature (:class:`google.cloud.aiplatform_v1.types.Feature`): + Required. The Feature to create. + This corresponds to the ``feature`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + feature_id (:class:`str`): + Required. The ID to use for the Feature, which will + become the final component of the Feature's resource + name. + + This value may be up to 128 characters, and valid + characters are ``[a-z0-9_]``. The first character cannot + be a number. + + The value must be unique within an + EntityType/FeatureGroup. + + This corresponds to the ``feature_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.Feature` Feature Metadata information. + For example, color is a feature that describes an + apple. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, feature, feature_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.CreateFeatureRequest): + request = featurestore_service.CreateFeatureRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if feature is not None: + request.feature = feature + if feature_id is not None: + request.feature_id = feature_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_feature + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gca_feature.Feature, + metadata_type=featurestore_service.CreateFeatureOperationMetadata, + ) + + # Done; return the response. + return response + + async def batch_create_features( + self, + request: Optional[ + Union[featurestore_service.BatchCreateFeaturesRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + requests: Optional[ + MutableSequence[featurestore_service.CreateFeatureRequest] + ] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Creates a batch of Features in a given FeatureGroup. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_batch_create_features(): + # Create a client + client = aiplatform_v1.FeatureRegistryServiceAsyncClient() + + # Initialize request argument(s) + requests = aiplatform_v1.CreateFeatureRequest() + requests.parent = "parent_value" + requests.feature_id = "feature_id_value" + + request = aiplatform_v1.BatchCreateFeaturesRequest( + parent="parent_value", + requests=requests, + ) + + # Make the request + operation = client.batch_create_features(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.BatchCreateFeaturesRequest, dict]]): + The request object. Request message for + [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures]. + Request message for + [FeatureRegistryService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeatureRegistryService.BatchCreateFeatures]. + parent (:class:`str`): + Required. The resource name of the + EntityType/FeatureGroup to create the batch of Features + under. Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`` + ``projects/{project}/locations/{location}/featureGroups/{feature_group}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + requests (:class:`MutableSequence[google.cloud.aiplatform_v1.types.CreateFeatureRequest]`): + Required. The request message specifying the Features to + create. All Features must be created under the same + parent EntityType / FeatureGroup. The ``parent`` field + in each child request message can be omitted. If + ``parent`` is set in a child request, then the value + must match the ``parent`` value in this request message. + + This corresponds to the ``requests`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.BatchCreateFeaturesResponse` Response message for + [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, requests] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.BatchCreateFeaturesRequest): + request = featurestore_service.BatchCreateFeaturesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if requests: + request.requests.extend(requests) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.batch_create_features + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + featurestore_service.BatchCreateFeaturesResponse, + metadata_type=featurestore_service.BatchCreateFeaturesOperationMetadata, + ) + + # Done; return the response. + return response + + async def get_feature( + self, + request: Optional[Union[featurestore_service.GetFeatureRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature.Feature: + r"""Gets details of a single Feature. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_feature(): + # Create a client + client = aiplatform_v1.FeatureRegistryServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetFeatureRequest( + name="name_value", + ) + + # Make the request + response = await client.get_feature(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetFeatureRequest, dict]]): + The request object. Request message for + [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1.FeaturestoreService.GetFeature]. + Request message for + [FeatureRegistryService.GetFeature][google.cloud.aiplatform.v1.FeatureRegistryService.GetFeature]. + name (:class:`str`): + Required. The name of the Feature resource. Format for + entity_type as parent: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`` + Format for feature_group as parent: + ``projects/{project}/locations/{location}/featureGroups/{feature_group}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Feature: + Feature Metadata information. + For example, color is a feature that + describes an apple. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.GetFeatureRequest): + request = featurestore_service.GetFeatureRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_feature + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_features( + self, + request: Optional[Union[featurestore_service.ListFeaturesRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListFeaturesAsyncPager: + r"""Lists Features in a given FeatureGroup. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_features(): + # Create a client + client = aiplatform_v1.FeatureRegistryServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListFeaturesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_features(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListFeaturesRequest, dict]]): + The request object. Request message for + [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]. + Request message for + [FeatureRegistryService.ListFeatures][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatures]. + parent (:class:`str`): + Required. The resource name of the Location to list + Features. Format for entity_type as parent: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`` + Format for feature_group as parent: + ``projects/{project}/locations/{location}/featureGroups/{feature_group}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.feature_registry_service.pagers.ListFeaturesAsyncPager: + Response message for + [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]. + Response message for + [FeatureRegistryService.ListFeatures][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatures]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.ListFeaturesRequest): + request = featurestore_service.ListFeaturesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_features + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListFeaturesAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def update_feature( + self, + request: Optional[ + Union[featurestore_service.UpdateFeatureRequest, dict] + ] = None, + *, + feature: Optional[gca_feature.Feature] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Updates the parameters of a single Feature. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_update_feature(): + # Create a client + client = aiplatform_v1.FeatureRegistryServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.UpdateFeatureRequest( + ) + + # Make the request + operation = client.update_feature(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UpdateFeatureRequest, dict]]): + The request object. Request message for + [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeature]. + Request message for + [FeatureRegistryService.UpdateFeature][google.cloud.aiplatform.v1.FeatureRegistryService.UpdateFeature]. + feature (:class:`google.cloud.aiplatform_v1.types.Feature`): + Required. The Feature's ``name`` field is used to + identify the Feature to be updated. Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}`` + ``projects/{project}/locations/{location}/featureGroups/{feature_group}/features/{feature}`` + + This corresponds to the ``feature`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Field mask is used to specify the fields to be + overwritten in the Features resource by the update. The + fields specified in the update_mask are relative to the + resource, not the full request. A field will be + overwritten if it is in the mask. If the user does not + provide a mask then only the non-empty fields present in + the request will be overwritten. Set the update_mask to + ``*`` to override all fields. + + Updatable fields: + + - ``description`` + - ``labels`` + - ``disable_monitoring`` (Not supported for + FeatureRegistryService Feature) + - ``point_of_contact`` (Not supported for + FeaturestoreService FeatureStore) + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.Feature` Feature Metadata information. + For example, color is a feature that describes an + apple. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [feature, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.UpdateFeatureRequest): + request = featurestore_service.UpdateFeatureRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if feature is not None: + request.feature = feature + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.update_feature + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("feature.name", request.feature.name),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gca_feature.Feature, + metadata_type=feature_registry_service.UpdateFeatureOperationMetadata, + ) + + # Done; return the response. + return response + + async def delete_feature( + self, + request: Optional[ + Union[featurestore_service.DeleteFeatureRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a single Feature. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_feature(): + # Create a client + client = aiplatform_v1.FeatureRegistryServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteFeatureRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_feature(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteFeatureRequest, dict]]): + The request object. Request message for + [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeature]. + Request message for + [FeatureRegistryService.DeleteFeature][google.cloud.aiplatform.v1.FeatureRegistryService.DeleteFeature]. + name (:class:`str`): + Required. The name of the Features to be deleted. + Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}`` + ``projects/{project}/locations/{location}/featureGroups/{feature_group}/features/{feature}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.DeleteFeatureRequest): + request = featurestore_service.DeleteFeatureRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_feature + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[ + self._client._transport.test_iam_permissions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self) -> "FeatureRegistryServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +__all__ = ("FeatureRegistryServiceAsyncClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/client.py new file mode 100644 index 0000000000000000000000000000000000000000..113ca24a8f0f6943ebbfa3581b0ce3b2e7ea9281 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/client.py @@ -0,0 +1,3103 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from http import HTTPStatus +import json +import logging as std_logging +import os +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, + cast, +) +import warnings + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + +from google.cloud.aiplatform_v1.services.feature_registry_service import pagers +from google.cloud.aiplatform_v1.types import feature +from google.cloud.aiplatform_v1.types import feature as gca_feature +from google.cloud.aiplatform_v1.types import feature_group +from google.cloud.aiplatform_v1.types import feature_group as gca_feature_group +from google.cloud.aiplatform_v1.types import feature_registry_service +from google.cloud.aiplatform_v1.types import featurestore_service +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +from .transports.base import FeatureRegistryServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import FeatureRegistryServiceGrpcTransport +from .transports.grpc_asyncio import FeatureRegistryServiceGrpcAsyncIOTransport +from .transports.rest import FeatureRegistryServiceRestTransport + +try: + from .transports.rest_asyncio import AsyncFeatureRegistryServiceRestTransport + + HAS_ASYNC_REST_DEPENDENCIES = True +except ImportError as e: # pragma: NO COVER + HAS_ASYNC_REST_DEPENDENCIES = False + ASYNC_REST_EXCEPTION = e + + +class FeatureRegistryServiceClientMeta(type): + """Metaclass for the FeatureRegistryService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + + _transport_registry = ( + OrderedDict() + ) # type: Dict[str, Type[FeatureRegistryServiceTransport]] + _transport_registry["grpc"] = FeatureRegistryServiceGrpcTransport + _transport_registry["grpc_asyncio"] = FeatureRegistryServiceGrpcAsyncIOTransport + _transport_registry["rest"] = FeatureRegistryServiceRestTransport + if HAS_ASYNC_REST_DEPENDENCIES: # pragma: NO COVER + _transport_registry["rest_asyncio"] = AsyncFeatureRegistryServiceRestTransport + + def get_transport_class( + cls, + label: Optional[str] = None, + ) -> Type[FeatureRegistryServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if ( + label == "rest_asyncio" and not HAS_ASYNC_REST_DEPENDENCIES + ): # pragma: NO COVER + raise ASYNC_REST_EXCEPTION + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class FeatureRegistryServiceClient(metaclass=FeatureRegistryServiceClientMeta): + """The service that handles CRUD and List for resources for + FeatureRegistry. + """ + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "aiplatform.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @staticmethod + def _use_client_cert_effective(): + """Returns whether client certificate should be used for mTLS if the + google-auth version supports should_use_client_cert automatic mTLS enablement. + + Alternatively, read from the GOOGLE_API_USE_CLIENT_CERTIFICATE env var. + + Returns: + bool: whether client certificate should be used for mTLS + Raises: + ValueError: (If using a version of google-auth without should_use_client_cert and + GOOGLE_API_USE_CLIENT_CERTIFICATE is set to an unexpected value.) + """ + # check if google-auth version supports should_use_client_cert for automatic mTLS enablement + if hasattr(mtls, "should_use_client_cert"): # pragma: NO COVER + return mtls.should_use_client_cert() + else: # pragma: NO COVER + # if unsupported, fallback to reading from env var + use_client_cert_str = os.getenv( + "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false" + ).lower() + if use_client_cert_str not in ("true", "false"): + raise ValueError( + "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be" + " either `true` or `false`" + ) + return use_client_cert_str == "true" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + FeatureRegistryServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + FeatureRegistryServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file(filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> FeatureRegistryServiceTransport: + """Returns the transport used by the client instance. + + Returns: + FeatureRegistryServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def feature_path( + project: str, + location: str, + featurestore: str, + entity_type: str, + feature: str, + ) -> str: + """Returns a fully-qualified feature string.""" + return "projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}".format( + project=project, + location=location, + featurestore=featurestore, + entity_type=entity_type, + feature=feature, + ) + + @staticmethod + def parse_feature_path(path: str) -> Dict[str, str]: + """Parses a feature path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/featurestores/(?P.+?)/entityTypes/(?P.+?)/features/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def feature_group_path( + project: str, + location: str, + feature_group: str, + ) -> str: + """Returns a fully-qualified feature_group string.""" + return "projects/{project}/locations/{location}/featureGroups/{feature_group}".format( + project=project, + location=location, + feature_group=feature_group, + ) + + @staticmethod + def parse_feature_group_path(path: str) -> Dict[str, str]: + """Parses a feature_group path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/featureGroups/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path( + billing_account: str, + ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format( + billing_account=billing_account, + ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str, str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path( + folder: str, + ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format( + folder=folder, + ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str, str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path( + organization: str, + ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format( + organization=organization, + ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str, str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path( + project: str, + ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format( + project=project, + ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str, str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path( + project: str, + location: str, + ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format( + project=project, + location=location, + ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str, str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[client_options_lib.ClientOptions] = None + ): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn( + "get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning, + ) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = FeatureRegistryServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert: + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = FeatureRegistryServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + return use_client_cert, use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint( + api_override, client_cert_source, universe_domain, use_mtls_endpoint + ): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + _default_universe = FeatureRegistryServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError( + f"mTLS is not supported in any universe other than {_default_universe}." + ) + api_endpoint = FeatureRegistryServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = ( + FeatureRegistryServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format( + UNIVERSE_DOMAIN=universe_domain + ) + ) + return api_endpoint + + @staticmethod + def _get_universe_domain( + client_universe_domain: Optional[str], universe_domain_env: Optional[str] + ) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = FeatureRegistryServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + + # NOTE (b/349488459): universe validation is disabled until further notice. + return True + + def _add_cred_info_for_auth_errors( + self, error: core_exceptions.GoogleAPICallError + ) -> None: + """Adds credential info string to error details for 401/403/404 errors. + + Args: + error (google.api_core.exceptions.GoogleAPICallError): The error to add the cred info. + """ + if error.code not in [ + HTTPStatus.UNAUTHORIZED, + HTTPStatus.FORBIDDEN, + HTTPStatus.NOT_FOUND, + ]: + return + + cred = self._transport._credentials + + # get_cred_info is only available in google-auth>=2.35.0 + if not hasattr(cred, "get_cred_info"): + return + + # ignore the type check since pypy test fails when get_cred_info + # is not available + cred_info = cred.get_cred_info() # type: ignore + if cred_info and hasattr(error._details, "append"): + error._details.append(json.dumps(cred_info)) + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + FeatureRegistryServiceTransport, + Callable[..., FeatureRegistryServiceTransport], + ] + ] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the feature registry service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,FeatureRegistryServiceTransport,Callable[..., FeatureRegistryServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the FeatureRegistryServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast( + client_options_lib.ClientOptions, self._client_options + ) + + universe_domain_opt = getattr(self._client_options, "universe_domain", None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = ( + FeatureRegistryServiceClient._read_environment_variables() + ) + self._client_cert_source = FeatureRegistryServiceClient._get_client_cert_source( + self._client_options.client_cert_source, self._use_client_cert + ) + self._universe_domain = FeatureRegistryServiceClient._get_universe_domain( + universe_domain_opt, self._universe_domain_env + ) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + if CLIENT_LOGGING_SUPPORTED: # pragma: NO COVER + # Setup logging. + client_logging.initialize_logging() + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError( + "client_options.api_key and credentials are mutually exclusive" + ) + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance(transport, FeatureRegistryServiceTransport) + if transport_provided: + # transport is a FeatureRegistryServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError( + "When providing a transport instance, " + "provide its credentials directly." + ) + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(FeatureRegistryServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = ( + self._api_endpoint + or FeatureRegistryServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint, + ) + ) + + if not transport_provided: + transport_init: Union[ + Type[FeatureRegistryServiceTransport], + Callable[..., FeatureRegistryServiceTransport], + ] = ( + FeatureRegistryServiceClient.get_transport_class(transport) + if isinstance(transport, str) or transport is None + else cast(Callable[..., FeatureRegistryServiceTransport], transport) + ) + + if "rest_asyncio" in str(transport_init): + unsupported_params = { + "google.api_core.client_options.ClientOptions.credentials_file": self._client_options.credentials_file, + "google.api_core.client_options.ClientOptions.scopes": self._client_options.scopes, + "google.api_core.client_options.ClientOptions.quota_project_id": self._client_options.quota_project_id, + "google.api_core.client_options.ClientOptions.client_cert_source": self._client_options.client_cert_source, + "google.api_core.client_options.ClientOptions.api_audience": self._client_options.api_audience, + } + provided_unsupported_params = [ + name + for name, value in unsupported_params.items() + if value is not None + ] + if provided_unsupported_params: + raise core_exceptions.AsyncRestUnsupportedParameterError( # type: ignore + f"The following provided parameters are not supported for `transport=rest_asyncio`: {', '.join(provided_unsupported_params)}" + ) + self._transport = transport_init( + credentials=credentials, + host=self._api_endpoint, + client_info=client_info, + ) + return + + import google.auth._default # type: ignore + + if api_key_value and hasattr( + google.auth._default, "get_api_key_credentials" + ): + credentials = google.auth._default.get_api_key_credentials( + api_key_value + ) + + # initialize with the provided callable or the passed in class + self._transport = transport_init( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + if "async" not in str(self._transport): + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.FeatureRegistryServiceClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "universeDomain": getattr( + self._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._transport._credentials).__module__}.{type(self._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, + "get_cred_info", + lambda: None, + )(), + } + if hasattr(self._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "credentialsType": None, + } + ), + ) + + def create_feature_group( + self, + request: Optional[ + Union[feature_registry_service.CreateFeatureGroupRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + feature_group: Optional[gca_feature_group.FeatureGroup] = None, + feature_group_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Creates a new FeatureGroup in a given project and + location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_feature_group(): + # Create a client + client = aiplatform_v1.FeatureRegistryServiceClient() + + # Initialize request argument(s) + feature_group = aiplatform_v1.FeatureGroup() + feature_group.big_query.big_query_source.input_uri = "input_uri_value" + + request = aiplatform_v1.CreateFeatureGroupRequest( + parent="parent_value", + feature_group=feature_group, + feature_group_id="feature_group_id_value", + ) + + # Make the request + operation = client.create_feature_group(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateFeatureGroupRequest, dict]): + The request object. Request message for + [FeatureRegistryService.CreateFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.CreateFeatureGroup]. + parent (str): + Required. The resource name of the Location to create + FeatureGroups. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + feature_group (google.cloud.aiplatform_v1.types.FeatureGroup): + Required. The FeatureGroup to create. + This corresponds to the ``feature_group`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + feature_group_id (str): + Required. The ID to use for this FeatureGroup, which + will become the final component of the FeatureGroup's + resource name. + + This value may be up to 128 characters, and valid + characters are ``[a-z0-9_]``. The first character cannot + be a number. + + The value must be unique within the project and + location. + + This corresponds to the ``feature_group_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.aiplatform_v1.types.FeatureGroup` + Vertex AI Feature Group. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, feature_group, feature_group_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, feature_registry_service.CreateFeatureGroupRequest): + request = feature_registry_service.CreateFeatureGroupRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if feature_group is not None: + request.feature_group = feature_group + if feature_group_id is not None: + request.feature_group_id = feature_group_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_feature_group] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + gca_feature_group.FeatureGroup, + metadata_type=feature_registry_service.CreateFeatureGroupOperationMetadata, + ) + + # Done; return the response. + return response + + def get_feature_group( + self, + request: Optional[ + Union[feature_registry_service.GetFeatureGroupRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_group.FeatureGroup: + r"""Gets details of a single FeatureGroup. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_feature_group(): + # Create a client + client = aiplatform_v1.FeatureRegistryServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetFeatureGroupRequest( + name="name_value", + ) + + # Make the request + response = client.get_feature_group(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetFeatureGroupRequest, dict]): + The request object. Request message for + [FeatureRegistryService.GetFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.GetFeatureGroup]. + name (str): + Required. The name of the + FeatureGroup resource. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.FeatureGroup: + Vertex AI Feature Group. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, feature_registry_service.GetFeatureGroupRequest): + request = feature_registry_service.GetFeatureGroupRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_feature_group] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_feature_groups( + self, + request: Optional[ + Union[feature_registry_service.ListFeatureGroupsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListFeatureGroupsPager: + r"""Lists FeatureGroups in a given project and location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_feature_groups(): + # Create a client + client = aiplatform_v1.FeatureRegistryServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListFeatureGroupsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_feature_groups(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListFeatureGroupsRequest, dict]): + The request object. Request message for + [FeatureRegistryService.ListFeatureGroups][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatureGroups]. + parent (str): + Required. The resource name of the Location to list + FeatureGroups. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.feature_registry_service.pagers.ListFeatureGroupsPager: + Response message for + [FeatureRegistryService.ListFeatureGroups][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatureGroups]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, feature_registry_service.ListFeatureGroupsRequest): + request = feature_registry_service.ListFeatureGroupsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_feature_groups] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListFeatureGroupsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def update_feature_group( + self, + request: Optional[ + Union[feature_registry_service.UpdateFeatureGroupRequest, dict] + ] = None, + *, + feature_group: Optional[gca_feature_group.FeatureGroup] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Updates the parameters of a single FeatureGroup. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_update_feature_group(): + # Create a client + client = aiplatform_v1.FeatureRegistryServiceClient() + + # Initialize request argument(s) + feature_group = aiplatform_v1.FeatureGroup() + feature_group.big_query.big_query_source.input_uri = "input_uri_value" + + request = aiplatform_v1.UpdateFeatureGroupRequest( + feature_group=feature_group, + ) + + # Make the request + operation = client.update_feature_group(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UpdateFeatureGroupRequest, dict]): + The request object. Request message for + [FeatureRegistryService.UpdateFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.UpdateFeatureGroup]. + feature_group (google.cloud.aiplatform_v1.types.FeatureGroup): + Required. The FeatureGroup's ``name`` field is used to + identify the FeatureGroup to be updated. Format: + ``projects/{project}/locations/{location}/featureGroups/{feature_group}`` + + This corresponds to the ``feature_group`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Field mask is used to specify the fields to be + overwritten in the FeatureGroup resource by the update. + The fields specified in the update_mask are relative to + the resource, not the full request. A field will be + overwritten if it is in the mask. If the user does not + provide a mask then only the non-empty fields present in + the request will be overwritten. Set the update_mask to + ``*`` to override all fields. + + Updatable fields: + + - ``labels`` + - ``description`` + - ``big_query`` + - ``big_query.entity_id_columns`` + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.aiplatform_v1.types.FeatureGroup` + Vertex AI Feature Group. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [feature_group, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, feature_registry_service.UpdateFeatureGroupRequest): + request = feature_registry_service.UpdateFeatureGroupRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if feature_group is not None: + request.feature_group = feature_group + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.update_feature_group] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("feature_group.name", request.feature_group.name),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + gca_feature_group.FeatureGroup, + metadata_type=feature_registry_service.UpdateFeatureGroupOperationMetadata, + ) + + # Done; return the response. + return response + + def delete_feature_group( + self, + request: Optional[ + Union[feature_registry_service.DeleteFeatureGroupRequest, dict] + ] = None, + *, + name: Optional[str] = None, + force: Optional[bool] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes a single FeatureGroup. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_feature_group(): + # Create a client + client = aiplatform_v1.FeatureRegistryServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteFeatureGroupRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_feature_group(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteFeatureGroupRequest, dict]): + The request object. Request message for + [FeatureRegistryService.DeleteFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.DeleteFeatureGroup]. + name (str): + Required. The name of the FeatureGroup to be deleted. + Format: + ``projects/{project}/locations/{location}/featureGroups/{feature_group}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + force (bool): + If set to true, any Features under + this FeatureGroup will also be deleted. + (Otherwise, the request will only work + if the FeatureGroup has no Features.) + + This corresponds to the ``force`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name, force] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, feature_registry_service.DeleteFeatureGroupRequest): + request = feature_registry_service.DeleteFeatureGroupRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if force is not None: + request.force = force + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_feature_group] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def create_feature( + self, + request: Optional[ + Union[featurestore_service.CreateFeatureRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + feature: Optional[gca_feature.Feature] = None, + feature_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Creates a new Feature in a given FeatureGroup. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_feature(): + # Create a client + client = aiplatform_v1.FeatureRegistryServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.CreateFeatureRequest( + parent="parent_value", + feature_id="feature_id_value", + ) + + # Make the request + operation = client.create_feature(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateFeatureRequest, dict]): + The request object. Request message for + [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeature]. + Request message for + [FeatureRegistryService.CreateFeature][google.cloud.aiplatform.v1.FeatureRegistryService.CreateFeature]. + parent (str): + Required. The resource name of the EntityType or + FeatureGroup to create a Feature. Format for entity_type + as parent: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`` + Format for feature_group as parent: + ``projects/{project}/locations/{location}/featureGroups/{feature_group}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + feature (google.cloud.aiplatform_v1.types.Feature): + Required. The Feature to create. + This corresponds to the ``feature`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + feature_id (str): + Required. The ID to use for the Feature, which will + become the final component of the Feature's resource + name. + + This value may be up to 128 characters, and valid + characters are ``[a-z0-9_]``. The first character cannot + be a number. + + The value must be unique within an + EntityType/FeatureGroup. + + This corresponds to the ``feature_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.Feature` Feature Metadata information. + For example, color is a feature that describes an + apple. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, feature, feature_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.CreateFeatureRequest): + request = featurestore_service.CreateFeatureRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if feature is not None: + request.feature = feature + if feature_id is not None: + request.feature_id = feature_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_feature] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + gca_feature.Feature, + metadata_type=featurestore_service.CreateFeatureOperationMetadata, + ) + + # Done; return the response. + return response + + def batch_create_features( + self, + request: Optional[ + Union[featurestore_service.BatchCreateFeaturesRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + requests: Optional[ + MutableSequence[featurestore_service.CreateFeatureRequest] + ] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Creates a batch of Features in a given FeatureGroup. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_batch_create_features(): + # Create a client + client = aiplatform_v1.FeatureRegistryServiceClient() + + # Initialize request argument(s) + requests = aiplatform_v1.CreateFeatureRequest() + requests.parent = "parent_value" + requests.feature_id = "feature_id_value" + + request = aiplatform_v1.BatchCreateFeaturesRequest( + parent="parent_value", + requests=requests, + ) + + # Make the request + operation = client.batch_create_features(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.BatchCreateFeaturesRequest, dict]): + The request object. Request message for + [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures]. + Request message for + [FeatureRegistryService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeatureRegistryService.BatchCreateFeatures]. + parent (str): + Required. The resource name of the + EntityType/FeatureGroup to create the batch of Features + under. Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`` + ``projects/{project}/locations/{location}/featureGroups/{feature_group}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + requests (MutableSequence[google.cloud.aiplatform_v1.types.CreateFeatureRequest]): + Required. The request message specifying the Features to + create. All Features must be created under the same + parent EntityType / FeatureGroup. The ``parent`` field + in each child request message can be omitted. If + ``parent`` is set in a child request, then the value + must match the ``parent`` value in this request message. + + This corresponds to the ``requests`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.BatchCreateFeaturesResponse` Response message for + [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, requests] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.BatchCreateFeaturesRequest): + request = featurestore_service.BatchCreateFeaturesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if requests is not None: + request.requests = requests + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.batch_create_features] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + featurestore_service.BatchCreateFeaturesResponse, + metadata_type=featurestore_service.BatchCreateFeaturesOperationMetadata, + ) + + # Done; return the response. + return response + + def get_feature( + self, + request: Optional[Union[featurestore_service.GetFeatureRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature.Feature: + r"""Gets details of a single Feature. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_feature(): + # Create a client + client = aiplatform_v1.FeatureRegistryServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetFeatureRequest( + name="name_value", + ) + + # Make the request + response = client.get_feature(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetFeatureRequest, dict]): + The request object. Request message for + [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1.FeaturestoreService.GetFeature]. + Request message for + [FeatureRegistryService.GetFeature][google.cloud.aiplatform.v1.FeatureRegistryService.GetFeature]. + name (str): + Required. The name of the Feature resource. Format for + entity_type as parent: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`` + Format for feature_group as parent: + ``projects/{project}/locations/{location}/featureGroups/{feature_group}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Feature: + Feature Metadata information. + For example, color is a feature that + describes an apple. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.GetFeatureRequest): + request = featurestore_service.GetFeatureRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_feature] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_features( + self, + request: Optional[Union[featurestore_service.ListFeaturesRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListFeaturesPager: + r"""Lists Features in a given FeatureGroup. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_features(): + # Create a client + client = aiplatform_v1.FeatureRegistryServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListFeaturesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_features(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListFeaturesRequest, dict]): + The request object. Request message for + [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]. + Request message for + [FeatureRegistryService.ListFeatures][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatures]. + parent (str): + Required. The resource name of the Location to list + Features. Format for entity_type as parent: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`` + Format for feature_group as parent: + ``projects/{project}/locations/{location}/featureGroups/{feature_group}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.feature_registry_service.pagers.ListFeaturesPager: + Response message for + [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]. + Response message for + [FeatureRegistryService.ListFeatures][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatures]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.ListFeaturesRequest): + request = featurestore_service.ListFeaturesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_features] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListFeaturesPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def update_feature( + self, + request: Optional[ + Union[featurestore_service.UpdateFeatureRequest, dict] + ] = None, + *, + feature: Optional[gca_feature.Feature] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Updates the parameters of a single Feature. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_update_feature(): + # Create a client + client = aiplatform_v1.FeatureRegistryServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.UpdateFeatureRequest( + ) + + # Make the request + operation = client.update_feature(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UpdateFeatureRequest, dict]): + The request object. Request message for + [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeature]. + Request message for + [FeatureRegistryService.UpdateFeature][google.cloud.aiplatform.v1.FeatureRegistryService.UpdateFeature]. + feature (google.cloud.aiplatform_v1.types.Feature): + Required. The Feature's ``name`` field is used to + identify the Feature to be updated. Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}`` + ``projects/{project}/locations/{location}/featureGroups/{feature_group}/features/{feature}`` + + This corresponds to the ``feature`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Field mask is used to specify the fields to be + overwritten in the Features resource by the update. The + fields specified in the update_mask are relative to the + resource, not the full request. A field will be + overwritten if it is in the mask. If the user does not + provide a mask then only the non-empty fields present in + the request will be overwritten. Set the update_mask to + ``*`` to override all fields. + + Updatable fields: + + - ``description`` + - ``labels`` + - ``disable_monitoring`` (Not supported for + FeatureRegistryService Feature) + - ``point_of_contact`` (Not supported for + FeaturestoreService FeatureStore) + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.Feature` Feature Metadata information. + For example, color is a feature that describes an + apple. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [feature, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.UpdateFeatureRequest): + request = featurestore_service.UpdateFeatureRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if feature is not None: + request.feature = feature + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.update_feature] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("feature.name", request.feature.name),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + gca_feature.Feature, + metadata_type=feature_registry_service.UpdateFeatureOperationMetadata, + ) + + # Done; return the response. + return response + + def delete_feature( + self, + request: Optional[ + Union[featurestore_service.DeleteFeatureRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes a single Feature. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_feature(): + # Create a client + client = aiplatform_v1.FeatureRegistryServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteFeatureRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_feature(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteFeatureRequest, dict]): + The request object. Request message for + [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeature]. + Request message for + [FeatureRegistryService.DeleteFeature][google.cloud.aiplatform.v1.FeatureRegistryService.DeleteFeature]. + name (str): + Required. The name of the Features to be deleted. + Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}`` + ``projects/{project}/locations/{location}/featureGroups/{feature_group}/features/{feature}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.DeleteFeatureRequest): + request = featurestore_service.DeleteFeatureRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_feature] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def __enter__(self) -> "FeatureRegistryServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + +__all__ = ("FeatureRegistryServiceClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/pagers.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/pagers.py new file mode 100644 index 0000000000000000000000000000000000000000..3df24f7f15080d9aa48809e262d43043974c6109 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/pagers.py @@ -0,0 +1,359 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import retry_async as retries_async +from typing import ( + Any, + AsyncIterator, + Awaitable, + Callable, + Sequence, + Tuple, + Optional, + Iterator, + Union, +) + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] + OptionalAsyncRetry = Union[ + retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None + ] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.types import feature +from google.cloud.aiplatform_v1.types import feature_group +from google.cloud.aiplatform_v1.types import feature_registry_service +from google.cloud.aiplatform_v1.types import featurestore_service + + +class ListFeatureGroupsPager: + """A pager for iterating through ``list_feature_groups`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListFeatureGroupsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``feature_groups`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListFeatureGroups`` requests and continue to iterate + through the ``feature_groups`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListFeatureGroupsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., feature_registry_service.ListFeatureGroupsResponse], + request: feature_registry_service.ListFeatureGroupsRequest, + response: feature_registry_service.ListFeatureGroupsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListFeatureGroupsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListFeatureGroupsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = feature_registry_service.ListFeatureGroupsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[feature_registry_service.ListFeatureGroupsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[feature_group.FeatureGroup]: + for page in self.pages: + yield from page.feature_groups + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListFeatureGroupsAsyncPager: + """A pager for iterating through ``list_feature_groups`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListFeatureGroupsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``feature_groups`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListFeatureGroups`` requests and continue to iterate + through the ``feature_groups`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListFeatureGroupsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[ + ..., Awaitable[feature_registry_service.ListFeatureGroupsResponse] + ], + request: feature_registry_service.ListFeatureGroupsRequest, + response: feature_registry_service.ListFeatureGroupsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListFeatureGroupsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListFeatureGroupsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = feature_registry_service.ListFeatureGroupsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages( + self, + ) -> AsyncIterator[feature_registry_service.ListFeatureGroupsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[feature_group.FeatureGroup]: + async def async_generator(): + async for page in self.pages: + for response in page.feature_groups: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListFeaturesPager: + """A pager for iterating through ``list_features`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListFeaturesResponse` object, and + provides an ``__iter__`` method to iterate through its + ``features`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListFeatures`` requests and continue to iterate + through the ``features`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListFeaturesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., featurestore_service.ListFeaturesResponse], + request: featurestore_service.ListFeaturesRequest, + response: featurestore_service.ListFeaturesResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListFeaturesRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListFeaturesResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = featurestore_service.ListFeaturesRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[featurestore_service.ListFeaturesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[feature.Feature]: + for page in self.pages: + yield from page.features + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListFeaturesAsyncPager: + """A pager for iterating through ``list_features`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListFeaturesResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``features`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListFeatures`` requests and continue to iterate + through the ``features`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListFeaturesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[featurestore_service.ListFeaturesResponse]], + request: featurestore_service.ListFeaturesRequest, + response: featurestore_service.ListFeaturesResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListFeaturesRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListFeaturesResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = featurestore_service.ListFeaturesRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[featurestore_service.ListFeaturesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[feature.Feature]: + async def async_generator(): + async for page in self.pages: + for response in page.features: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/transports/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/transports/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..f5ea1cd9959a56302572ae1a125f07906617d313 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/transports/__init__.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from typing import Dict, Type, Tuple + +from .base import FeatureRegistryServiceTransport +from .grpc import FeatureRegistryServiceGrpcTransport +from .grpc_asyncio import FeatureRegistryServiceGrpcAsyncIOTransport +from .rest import FeatureRegistryServiceRestTransport +from .rest import FeatureRegistryServiceRestInterceptor + +ASYNC_REST_CLASSES: Tuple[str, ...] +try: + from .rest_asyncio import AsyncFeatureRegistryServiceRestTransport + from .rest_asyncio import AsyncFeatureRegistryServiceRestInterceptor + + ASYNC_REST_CLASSES = ( + "AsyncFeatureRegistryServiceRestTransport", + "AsyncFeatureRegistryServiceRestInterceptor", + ) + HAS_REST_ASYNC = True +except ImportError: # pragma: NO COVER + ASYNC_REST_CLASSES = () + HAS_REST_ASYNC = False + + +# Compile a registry of transports. +_transport_registry = ( + OrderedDict() +) # type: Dict[str, Type[FeatureRegistryServiceTransport]] +_transport_registry["grpc"] = FeatureRegistryServiceGrpcTransport +_transport_registry["grpc_asyncio"] = FeatureRegistryServiceGrpcAsyncIOTransport +_transport_registry["rest"] = FeatureRegistryServiceRestTransport +if HAS_REST_ASYNC: # pragma: NO COVER + _transport_registry["rest_asyncio"] = AsyncFeatureRegistryServiceRestTransport + +__all__ = ( + "FeatureRegistryServiceTransport", + "FeatureRegistryServiceGrpcTransport", + "FeatureRegistryServiceGrpcAsyncIOTransport", + "FeatureRegistryServiceRestTransport", + "FeatureRegistryServiceRestInterceptor", +) + ASYNC_REST_CLASSES diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/transports/__pycache__/__init__.cpython-311.pyc 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http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import abc +from typing import Awaitable, Callable, Dict, Optional, Sequence, Union + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +import google.auth # type: ignore +import google.api_core +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import operations_v1 +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +from google.cloud.aiplatform_v1.types import feature +from google.cloud.aiplatform_v1.types import feature_group +from google.cloud.aiplatform_v1.types import feature_registry_service +from google.cloud.aiplatform_v1.types import featurestore_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +class FeatureRegistryServiceTransport(abc.ABC): + """Abstract transport class for FeatureRegistryService.""" + + AUTH_SCOPES = ("https://www.googleapis.com/auth/cloud-platform",) + + DEFAULT_HOST: str = "aiplatform.googleapis.com" + + def __init__( + self, + *, + host: str = DEFAULT_HOST, + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + **kwargs, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. This argument will be + removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A list of scopes. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + """ + + # Save the scopes. + self._scopes = scopes + if not hasattr(self, "_ignore_credentials"): + self._ignore_credentials: bool = False + + # If no credentials are provided, then determine the appropriate + # defaults. + if credentials and credentials_file: + raise core_exceptions.DuplicateCredentialArgs( + "'credentials_file' and 'credentials' are mutually exclusive" + ) + + if credentials_file is not None: + credentials, _ = google.auth.load_credentials_from_file( + credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + default_scopes=self.AUTH_SCOPES, + ) + elif credentials is None and not self._ignore_credentials: + credentials, _ = google.auth.default( + scopes=scopes, + quota_project_id=quota_project_id, + default_scopes=self.AUTH_SCOPES, + ) + # Don't apply audience if the credentials file passed from user. + if hasattr(credentials, "with_gdch_audience"): + credentials = credentials.with_gdch_audience( + api_audience if api_audience else host + ) + + # If the credentials are service account credentials, then always try to use self signed JWT. + if ( + always_use_jwt_access + and isinstance(credentials, service_account.Credentials) + and hasattr(service_account.Credentials, "with_always_use_jwt_access") + ): + credentials = credentials.with_always_use_jwt_access(True) + + # Save the credentials. + self._credentials = credentials + + # Save the hostname. Default to port 443 (HTTPS) if none is specified. + if ":" not in host: + host += ":443" + self._host = host + + @property + def host(self): + return self._host + + def _prep_wrapped_messages(self, client_info): + # Precompute the wrapped methods. + self._wrapped_methods = { + self.create_feature_group: gapic_v1.method.wrap_method( + self.create_feature_group, + default_timeout=None, + client_info=client_info, + ), + self.get_feature_group: gapic_v1.method.wrap_method( + self.get_feature_group, + default_timeout=None, + client_info=client_info, + ), + self.list_feature_groups: gapic_v1.method.wrap_method( + self.list_feature_groups, + default_timeout=None, + client_info=client_info, + ), + self.update_feature_group: gapic_v1.method.wrap_method( + self.update_feature_group, + default_timeout=None, + client_info=client_info, + ), + self.delete_feature_group: gapic_v1.method.wrap_method( + self.delete_feature_group, + default_timeout=None, + client_info=client_info, + ), + self.create_feature: gapic_v1.method.wrap_method( + self.create_feature, + default_timeout=None, + client_info=client_info, + ), + self.batch_create_features: gapic_v1.method.wrap_method( + self.batch_create_features, + default_timeout=None, + client_info=client_info, + ), + self.get_feature: gapic_v1.method.wrap_method( + self.get_feature, + default_timeout=None, + client_info=client_info, + ), + self.list_features: gapic_v1.method.wrap_method( + self.list_features, + default_timeout=None, + client_info=client_info, + ), + self.update_feature: gapic_v1.method.wrap_method( + self.update_feature, + default_timeout=None, + client_info=client_info, + ), + self.delete_feature: gapic_v1.method.wrap_method( + self.delete_feature, + default_timeout=None, + client_info=client_info, + ), + self.get_location: gapic_v1.method.wrap_method( + self.get_location, + default_timeout=None, + client_info=client_info, + ), + self.list_locations: gapic_v1.method.wrap_method( + self.list_locations, + default_timeout=None, + client_info=client_info, + ), + self.get_iam_policy: gapic_v1.method.wrap_method( + self.get_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.set_iam_policy: gapic_v1.method.wrap_method( + self.set_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.test_iam_permissions: gapic_v1.method.wrap_method( + self.test_iam_permissions, + default_timeout=None, + client_info=client_info, + ), + self.cancel_operation: gapic_v1.method.wrap_method( + self.cancel_operation, + default_timeout=None, + client_info=client_info, + ), + self.delete_operation: gapic_v1.method.wrap_method( + self.delete_operation, + default_timeout=None, + client_info=client_info, + ), + self.get_operation: gapic_v1.method.wrap_method( + self.get_operation, + default_timeout=None, + client_info=client_info, + ), + self.list_operations: gapic_v1.method.wrap_method( + self.list_operations, + default_timeout=None, + client_info=client_info, + ), + self.wait_operation: gapic_v1.method.wrap_method( + self.wait_operation, + default_timeout=None, + client_info=client_info, + ), + } + + def close(self): + """Closes resources associated with the transport. + + .. warning:: + Only call this method if the transport is NOT shared + with other clients - this may cause errors in other clients! + """ + raise NotImplementedError() + + @property + def operations_client(self): + """Return the client designed to process long-running operations.""" + raise NotImplementedError() + + @property + def create_feature_group( + self, + ) -> Callable[ + [feature_registry_service.CreateFeatureGroupRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def get_feature_group( + self, + ) -> Callable[ + [feature_registry_service.GetFeatureGroupRequest], + Union[feature_group.FeatureGroup, Awaitable[feature_group.FeatureGroup]], + ]: + raise NotImplementedError() + + @property + def list_feature_groups( + self, + ) -> Callable[ + [feature_registry_service.ListFeatureGroupsRequest], + Union[ + feature_registry_service.ListFeatureGroupsResponse, + Awaitable[feature_registry_service.ListFeatureGroupsResponse], + ], + ]: + raise NotImplementedError() + + @property + def update_feature_group( + self, + ) -> Callable[ + [feature_registry_service.UpdateFeatureGroupRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def delete_feature_group( + self, + ) -> Callable[ + [feature_registry_service.DeleteFeatureGroupRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def create_feature( + self, + ) -> Callable[ + [featurestore_service.CreateFeatureRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def batch_create_features( + self, + ) -> Callable[ + [featurestore_service.BatchCreateFeaturesRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def get_feature( + self, + ) -> Callable[ + [featurestore_service.GetFeatureRequest], + Union[feature.Feature, Awaitable[feature.Feature]], + ]: + raise NotImplementedError() + + @property + def list_features( + self, + ) -> Callable[ + [featurestore_service.ListFeaturesRequest], + Union[ + featurestore_service.ListFeaturesResponse, + Awaitable[featurestore_service.ListFeaturesResponse], + ], + ]: + raise NotImplementedError() + + @property + def update_feature( + self, + ) -> Callable[ + [featurestore_service.UpdateFeatureRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def delete_feature( + self, + ) -> Callable[ + [featurestore_service.DeleteFeatureRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], + Union[ + operations_pb2.ListOperationsResponse, + Awaitable[operations_pb2.ListOperationsResponse], + ], + ]: + raise NotImplementedError() + + @property + def get_operation( + self, + ) -> Callable[ + [operations_pb2.GetOperationRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def cancel_operation( + self, + ) -> Callable[ + [operations_pb2.CancelOperationRequest], + None, + ]: + raise NotImplementedError() + + @property + def delete_operation( + self, + ) -> Callable[ + [operations_pb2.DeleteOperationRequest], + None, + ]: + raise NotImplementedError() + + @property + def wait_operation( + self, + ) -> Callable[ + [operations_pb2.WaitOperationRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def set_iam_policy( + self, + ) -> Callable[ + [iam_policy_pb2.SetIamPolicyRequest], + Union[policy_pb2.Policy, Awaitable[policy_pb2.Policy]], + ]: + raise NotImplementedError() + + @property + def get_iam_policy( + self, + ) -> Callable[ + [iam_policy_pb2.GetIamPolicyRequest], + Union[policy_pb2.Policy, Awaitable[policy_pb2.Policy]], + ]: + raise NotImplementedError() + + @property + def test_iam_permissions( + self, + ) -> Callable[ + [iam_policy_pb2.TestIamPermissionsRequest], + Union[ + iam_policy_pb2.TestIamPermissionsResponse, + Awaitable[iam_policy_pb2.TestIamPermissionsResponse], + ], + ]: + raise NotImplementedError() + + @property + def get_location( + self, + ) -> Callable[ + [locations_pb2.GetLocationRequest], + Union[locations_pb2.Location, Awaitable[locations_pb2.Location]], + ]: + raise NotImplementedError() + + @property + def list_locations( + self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], + Union[ + locations_pb2.ListLocationsResponse, + Awaitable[locations_pb2.ListLocationsResponse], + ], + ]: + raise NotImplementedError() + + @property + def kind(self) -> str: + raise NotImplementedError() + + +__all__ = ("FeatureRegistryServiceTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/transports/grpc.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/transports/grpc.py new file mode 100644 index 0000000000000000000000000000000000000000..808144b92f42b7ef85e9faadda8a2bbade0f4b7a --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/transports/grpc.py @@ -0,0 +1,871 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import json +import logging as std_logging +import pickle +import warnings +from typing import Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import grpc_helpers +from google.api_core import operations_v1 +from google.api_core import gapic_v1 +import google.auth # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.protobuf.json_format import MessageToJson +import google.protobuf.message + +import grpc # type: ignore +import proto # type: ignore + +from google.cloud.aiplatform_v1.types import feature +from google.cloud.aiplatform_v1.types import feature_group +from google.cloud.aiplatform_v1.types import feature_registry_service +from google.cloud.aiplatform_v1.types import featurestore_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .base import FeatureRegistryServiceTransport, DEFAULT_CLIENT_INFO + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class _LoggingClientInterceptor(grpc.UnaryUnaryClientInterceptor): # pragma: NO COVER + def intercept_unary_unary(self, continuation, client_call_details, request): + logging_enabled = CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ) + if logging_enabled: # pragma: NO COVER + request_metadata = client_call_details.metadata + if isinstance(request, proto.Message): + request_payload = type(request).to_json(request) + elif isinstance(request, google.protobuf.message.Message): + request_payload = MessageToJson(request) + else: + request_payload = f"{type(request).__name__}: {pickle.dumps(request)}" + + request_metadata = { + key: value.decode("utf-8") if isinstance(value, bytes) else value + for key, value in request_metadata + } + grpc_request = { + "payload": request_payload, + "requestMethod": "grpc", + "metadata": dict(request_metadata), + } + _LOGGER.debug( + f"Sending request for {client_call_details.method}", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": str(client_call_details.method), + "request": grpc_request, + "metadata": grpc_request["metadata"], + }, + ) + response = continuation(client_call_details, request) + if logging_enabled: # pragma: NO COVER + response_metadata = response.trailing_metadata() + # Convert gRPC metadata `` to list of tuples + metadata = ( + dict([(k, str(v)) for k, v in response_metadata]) + if response_metadata + else None + ) + result = response.result() + if isinstance(result, proto.Message): + response_payload = type(result).to_json(result) + elif isinstance(result, google.protobuf.message.Message): + response_payload = MessageToJson(result) + else: + response_payload = f"{type(result).__name__}: {pickle.dumps(result)}" + grpc_response = { + "payload": response_payload, + "metadata": metadata, + "status": "OK", + } + _LOGGER.debug( + f"Received response for {client_call_details.method}.", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": client_call_details.method, + "response": grpc_response, + "metadata": grpc_response["metadata"], + }, + ) + return response + + +class FeatureRegistryServiceGrpcTransport(FeatureRegistryServiceTransport): + """gRPC backend transport for FeatureRegistryService. + + The service that handles CRUD and List for resources for + FeatureRegistry. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + + _stubs: Dict[str, Callable] + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]] = None, + api_mtls_endpoint: Optional[str] = None, + client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if a ``channel`` instance is provided. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if a ``channel`` instance is provided. + This argument will be removed in the next major version of this library. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if a ``channel`` instance is provided. + channel (Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]]): + A ``Channel`` instance through which to make calls, or a Callable + that constructs and returns one. If set to None, ``self.create_channel`` + is used to create the channel. If a Callable is given, it will be called + with the same arguments as used in ``self.create_channel``. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if a ``channel`` instance is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + self._operations_client: Optional[operations_v1.OperationsClient] = None + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if isinstance(channel, grpc.Channel): + # Ignore credentials if a channel was passed. + credentials = None + self._ignore_credentials = True + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + # initialize with the provided callable or the default channel + channel_init = channel or type(self).create_channel + self._grpc_channel = channel_init( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + self._interceptor = _LoggingClientInterceptor() + self._logged_channel = grpc.intercept_channel( + self._grpc_channel, self._interceptor + ) + + # Wrap messages. This must be done after self._logged_channel exists + self._prep_wrapped_messages(client_info) + + @classmethod + def create_channel( + cls, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs, + ) -> grpc.Channel: + """Create and return a gRPC channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. This argument will be + removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + grpc.Channel: A gRPC channel object. + + Raises: + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + + return grpc_helpers.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs, + ) + + @property + def grpc_channel(self) -> grpc.Channel: + """Return the channel designed to connect to this service.""" + return self._grpc_channel + + @property + def operations_client(self) -> operations_v1.OperationsClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Quick check: Only create a new client if we do not already have one. + if self._operations_client is None: + self._operations_client = operations_v1.OperationsClient( + self._logged_channel + ) + + # Return the client from cache. + return self._operations_client + + @property + def create_feature_group( + self, + ) -> Callable[ + [feature_registry_service.CreateFeatureGroupRequest], operations_pb2.Operation + ]: + r"""Return a callable for the create feature group method over gRPC. + + Creates a new FeatureGroup in a given project and + location. + + Returns: + Callable[[~.CreateFeatureGroupRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "create_feature_group" not in self._stubs: + self._stubs["create_feature_group"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureRegistryService/CreateFeatureGroup", + request_serializer=feature_registry_service.CreateFeatureGroupRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["create_feature_group"] + + @property + def get_feature_group( + self, + ) -> Callable[ + [feature_registry_service.GetFeatureGroupRequest], feature_group.FeatureGroup + ]: + r"""Return a callable for the get feature group method over gRPC. + + Gets details of a single FeatureGroup. + + Returns: + Callable[[~.GetFeatureGroupRequest], + ~.FeatureGroup]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_feature_group" not in self._stubs: + self._stubs["get_feature_group"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureRegistryService/GetFeatureGroup", + request_serializer=feature_registry_service.GetFeatureGroupRequest.serialize, + response_deserializer=feature_group.FeatureGroup.deserialize, + ) + return self._stubs["get_feature_group"] + + @property + def list_feature_groups( + self, + ) -> Callable[ + [feature_registry_service.ListFeatureGroupsRequest], + feature_registry_service.ListFeatureGroupsResponse, + ]: + r"""Return a callable for the list feature groups method over gRPC. + + Lists FeatureGroups in a given project and location. + + Returns: + Callable[[~.ListFeatureGroupsRequest], + ~.ListFeatureGroupsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_feature_groups" not in self._stubs: + self._stubs["list_feature_groups"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureRegistryService/ListFeatureGroups", + request_serializer=feature_registry_service.ListFeatureGroupsRequest.serialize, + response_deserializer=feature_registry_service.ListFeatureGroupsResponse.deserialize, + ) + return self._stubs["list_feature_groups"] + + @property + def update_feature_group( + self, + ) -> Callable[ + [feature_registry_service.UpdateFeatureGroupRequest], operations_pb2.Operation + ]: + r"""Return a callable for the update feature group method over gRPC. + + Updates the parameters of a single FeatureGroup. + + Returns: + Callable[[~.UpdateFeatureGroupRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "update_feature_group" not in self._stubs: + self._stubs["update_feature_group"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureRegistryService/UpdateFeatureGroup", + request_serializer=feature_registry_service.UpdateFeatureGroupRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["update_feature_group"] + + @property + def delete_feature_group( + self, + ) -> Callable[ + [feature_registry_service.DeleteFeatureGroupRequest], operations_pb2.Operation + ]: + r"""Return a callable for the delete feature group method over gRPC. + + Deletes a single FeatureGroup. + + Returns: + Callable[[~.DeleteFeatureGroupRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_feature_group" not in self._stubs: + self._stubs["delete_feature_group"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureRegistryService/DeleteFeatureGroup", + request_serializer=feature_registry_service.DeleteFeatureGroupRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["delete_feature_group"] + + @property + def create_feature( + self, + ) -> Callable[ + [featurestore_service.CreateFeatureRequest], operations_pb2.Operation + ]: + r"""Return a callable for the create feature method over gRPC. + + Creates a new Feature in a given FeatureGroup. + + Returns: + Callable[[~.CreateFeatureRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "create_feature" not in self._stubs: + self._stubs["create_feature"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureRegistryService/CreateFeature", + request_serializer=featurestore_service.CreateFeatureRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["create_feature"] + + @property + def batch_create_features( + self, + ) -> Callable[ + [featurestore_service.BatchCreateFeaturesRequest], operations_pb2.Operation + ]: + r"""Return a callable for the batch create features method over gRPC. + + Creates a batch of Features in a given FeatureGroup. + + Returns: + Callable[[~.BatchCreateFeaturesRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "batch_create_features" not in self._stubs: + self._stubs["batch_create_features"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureRegistryService/BatchCreateFeatures", + request_serializer=featurestore_service.BatchCreateFeaturesRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["batch_create_features"] + + @property + def get_feature( + self, + ) -> Callable[[featurestore_service.GetFeatureRequest], feature.Feature]: + r"""Return a callable for the get feature method over gRPC. + + Gets details of a single Feature. + + Returns: + Callable[[~.GetFeatureRequest], + ~.Feature]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_feature" not in self._stubs: + self._stubs["get_feature"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureRegistryService/GetFeature", + request_serializer=featurestore_service.GetFeatureRequest.serialize, + response_deserializer=feature.Feature.deserialize, + ) + return self._stubs["get_feature"] + + @property + def list_features( + self, + ) -> Callable[ + [featurestore_service.ListFeaturesRequest], + featurestore_service.ListFeaturesResponse, + ]: + r"""Return a callable for the list features method over gRPC. + + Lists Features in a given FeatureGroup. + + Returns: + Callable[[~.ListFeaturesRequest], + ~.ListFeaturesResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_features" not in self._stubs: + self._stubs["list_features"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureRegistryService/ListFeatures", + request_serializer=featurestore_service.ListFeaturesRequest.serialize, + response_deserializer=featurestore_service.ListFeaturesResponse.deserialize, + ) + return self._stubs["list_features"] + + @property + def update_feature( + self, + ) -> Callable[ + [featurestore_service.UpdateFeatureRequest], operations_pb2.Operation + ]: + r"""Return a callable for the update feature method over gRPC. + + Updates the parameters of a single Feature. + + Returns: + Callable[[~.UpdateFeatureRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "update_feature" not in self._stubs: + self._stubs["update_feature"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureRegistryService/UpdateFeature", + request_serializer=featurestore_service.UpdateFeatureRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["update_feature"] + + @property + def delete_feature( + self, + ) -> Callable[ + [featurestore_service.DeleteFeatureRequest], operations_pb2.Operation + ]: + r"""Return a callable for the delete feature method over gRPC. + + Deletes a single Feature. + + Returns: + Callable[[~.DeleteFeatureRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_feature" not in self._stubs: + self._stubs["delete_feature"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureRegistryService/DeleteFeature", + request_serializer=featurestore_service.DeleteFeatureRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["delete_feature"] + + def close(self): + self._logged_channel.close() + + @property + def delete_operation( + self, + ) -> Callable[[operations_pb2.DeleteOperationRequest], None]: + r"""Return a callable for the delete_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_operation" not in self._stubs: + self._stubs["delete_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/DeleteOperation", + request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["delete_operation"] + + @property + def cancel_operation( + self, + ) -> Callable[[operations_pb2.CancelOperationRequest], None]: + r"""Return a callable for the cancel_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "cancel_operation" not in self._stubs: + self._stubs["cancel_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/CancelOperation", + request_serializer=operations_pb2.CancelOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["cancel_operation"] + + @property + def wait_operation( + self, + ) -> Callable[[operations_pb2.WaitOperationRequest], None]: + r"""Return a callable for the wait_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "wait_operation" not in self._stubs: + self._stubs["wait_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/WaitOperation", + request_serializer=operations_pb2.WaitOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["wait_operation"] + + @property + def get_operation( + self, + ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]: + r"""Return a callable for the get_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_operation" not in self._stubs: + self._stubs["get_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/GetOperation", + request_serializer=operations_pb2.GetOperationRequest.SerializeToString, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["get_operation"] + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse + ]: + r"""Return a callable for the list_operations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_operations" not in self._stubs: + self._stubs["list_operations"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/ListOperations", + request_serializer=operations_pb2.ListOperationsRequest.SerializeToString, + response_deserializer=operations_pb2.ListOperationsResponse.FromString, + ) + return self._stubs["list_operations"] + + @property + def list_locations( + self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse + ]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_locations" not in self._stubs: + self._stubs["list_locations"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/ListLocations", + request_serializer=locations_pb2.ListLocationsRequest.SerializeToString, + response_deserializer=locations_pb2.ListLocationsResponse.FromString, + ) + return self._stubs["list_locations"] + + @property + def get_location( + self, + ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_location" not in self._stubs: + self._stubs["get_location"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/GetLocation", + request_serializer=locations_pb2.GetLocationRequest.SerializeToString, + response_deserializer=locations_pb2.Location.FromString, + ) + return self._stubs["get_location"] + + @property + def set_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.SetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the set iam policy method over gRPC. + Sets the IAM access control policy on the specified + function. Replaces any existing policy. + Returns: + Callable[[~.SetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "set_iam_policy" not in self._stubs: + self._stubs["set_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/SetIamPolicy", + request_serializer=iam_policy_pb2.SetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["set_iam_policy"] + + @property + def get_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.GetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the get iam policy method over gRPC. + Gets the IAM access control policy for a function. + Returns an empty policy if the function exists and does + not have a policy set. + Returns: + Callable[[~.GetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_iam_policy" not in self._stubs: + self._stubs["get_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/GetIamPolicy", + request_serializer=iam_policy_pb2.GetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["get_iam_policy"] + + @property + def test_iam_permissions( + self, + ) -> Callable[ + [iam_policy_pb2.TestIamPermissionsRequest], + iam_policy_pb2.TestIamPermissionsResponse, + ]: + r"""Return a callable for the test iam permissions method over gRPC. + Tests the specified permissions against the IAM access control + policy for a function. If the function does not exist, this will + return an empty set of permissions, not a NOT_FOUND error. + Returns: + Callable[[~.TestIamPermissionsRequest], + ~.TestIamPermissionsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "test_iam_permissions" not in self._stubs: + self._stubs["test_iam_permissions"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/TestIamPermissions", + request_serializer=iam_policy_pb2.TestIamPermissionsRequest.SerializeToString, + response_deserializer=iam_policy_pb2.TestIamPermissionsResponse.FromString, + ) + return self._stubs["test_iam_permissions"] + + @property + def kind(self) -> str: + return "grpc" + + +__all__ = ("FeatureRegistryServiceGrpcTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/transports/grpc_asyncio.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/transports/grpc_asyncio.py new file mode 100644 index 0000000000000000000000000000000000000000..78f193547b43558c9e28fcb96d9019f6a46f7eb4 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/transports/grpc_asyncio.py @@ -0,0 +1,999 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import inspect +import json +import pickle +import logging as std_logging +import warnings +from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import gapic_v1 +from google.api_core import grpc_helpers_async +from google.api_core import exceptions as core_exceptions +from google.api_core import retry_async as retries +from google.api_core import operations_v1 +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.protobuf.json_format import MessageToJson +import google.protobuf.message + +import grpc # type: ignore +import proto # type: ignore +from grpc.experimental import aio # type: ignore + +from google.cloud.aiplatform_v1.types import feature +from google.cloud.aiplatform_v1.types import feature_group +from google.cloud.aiplatform_v1.types import feature_registry_service +from google.cloud.aiplatform_v1.types import featurestore_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .base import FeatureRegistryServiceTransport, DEFAULT_CLIENT_INFO +from .grpc import FeatureRegistryServiceGrpcTransport + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class _LoggingClientAIOInterceptor( + grpc.aio.UnaryUnaryClientInterceptor +): # pragma: NO COVER + async def intercept_unary_unary(self, continuation, client_call_details, request): + logging_enabled = CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ) + if logging_enabled: # pragma: NO COVER + request_metadata = client_call_details.metadata + if isinstance(request, proto.Message): + request_payload = type(request).to_json(request) + elif isinstance(request, google.protobuf.message.Message): + request_payload = MessageToJson(request) + else: + request_payload = f"{type(request).__name__}: {pickle.dumps(request)}" + + request_metadata = { + key: value.decode("utf-8") if isinstance(value, bytes) else value + for key, value in request_metadata + } + grpc_request = { + "payload": request_payload, + "requestMethod": "grpc", + "metadata": dict(request_metadata), + } + _LOGGER.debug( + f"Sending request for {client_call_details.method}", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": str(client_call_details.method), + "request": grpc_request, + "metadata": grpc_request["metadata"], + }, + ) + response = await continuation(client_call_details, request) + if logging_enabled: # pragma: NO COVER + response_metadata = await response.trailing_metadata() + # Convert gRPC metadata `` to list of tuples + metadata = ( + dict([(k, str(v)) for k, v in response_metadata]) + if response_metadata + else None + ) + result = await response + if isinstance(result, proto.Message): + response_payload = type(result).to_json(result) + elif isinstance(result, google.protobuf.message.Message): + response_payload = MessageToJson(result) + else: + response_payload = f"{type(result).__name__}: {pickle.dumps(result)}" + grpc_response = { + "payload": response_payload, + "metadata": metadata, + "status": "OK", + } + _LOGGER.debug( + f"Received response to rpc {client_call_details.method}.", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": str(client_call_details.method), + "response": grpc_response, + "metadata": grpc_response["metadata"], + }, + ) + return response + + +class FeatureRegistryServiceGrpcAsyncIOTransport(FeatureRegistryServiceTransport): + """gRPC AsyncIO backend transport for FeatureRegistryService. + + The service that handles CRUD and List for resources for + FeatureRegistry. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + + _grpc_channel: aio.Channel + _stubs: Dict[str, Callable] = {} + + @classmethod + def create_channel( + cls, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs, + ) -> aio.Channel: + """Create and return a gRPC AsyncIO channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. This argument will be + removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + aio.Channel: A gRPC AsyncIO channel object. + """ + + return grpc_helpers_async.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs, + ) + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: Optional[Union[aio.Channel, Callable[..., aio.Channel]]] = None, + api_mtls_endpoint: Optional[str] = None, + client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if a ``channel`` instance is provided. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if a ``channel`` instance is provided. + This argument will be removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + channel (Optional[Union[aio.Channel, Callable[..., aio.Channel]]]): + A ``Channel`` instance through which to make calls, or a Callable + that constructs and returns one. If set to None, ``self.create_channel`` + is used to create the channel. If a Callable is given, it will be called + with the same arguments as used in ``self.create_channel``. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if a ``channel`` instance is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if isinstance(channel, aio.Channel): + # Ignore credentials if a channel was passed. + credentials = None + self._ignore_credentials = True + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + # initialize with the provided callable or the default channel + channel_init = channel or type(self).create_channel + self._grpc_channel = channel_init( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + self._interceptor = _LoggingClientAIOInterceptor() + self._grpc_channel._unary_unary_interceptors.append(self._interceptor) + self._logged_channel = self._grpc_channel + self._wrap_with_kind = ( + "kind" in inspect.signature(gapic_v1.method_async.wrap_method).parameters + ) + # Wrap messages. This must be done after self._logged_channel exists + self._prep_wrapped_messages(client_info) + + @property + def grpc_channel(self) -> aio.Channel: + """Create the channel designed to connect to this service. + + This property caches on the instance; repeated calls return + the same channel. + """ + # Return the channel from cache. + return self._grpc_channel + + @property + def operations_client(self) -> operations_v1.OperationsAsyncClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Quick check: Only create a new client if we do not already have one. + if self._operations_client is None: + self._operations_client = operations_v1.OperationsAsyncClient( + self._logged_channel + ) + + # Return the client from cache. + return self._operations_client + + @property + def create_feature_group( + self, + ) -> Callable[ + [feature_registry_service.CreateFeatureGroupRequest], + Awaitable[operations_pb2.Operation], + ]: + r"""Return a callable for the create feature group method over gRPC. + + Creates a new FeatureGroup in a given project and + location. + + Returns: + Callable[[~.CreateFeatureGroupRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "create_feature_group" not in self._stubs: + self._stubs["create_feature_group"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureRegistryService/CreateFeatureGroup", + request_serializer=feature_registry_service.CreateFeatureGroupRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["create_feature_group"] + + @property + def get_feature_group( + self, + ) -> Callable[ + [feature_registry_service.GetFeatureGroupRequest], + Awaitable[feature_group.FeatureGroup], + ]: + r"""Return a callable for the get feature group method over gRPC. + + Gets details of a single FeatureGroup. + + Returns: + Callable[[~.GetFeatureGroupRequest], + Awaitable[~.FeatureGroup]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_feature_group" not in self._stubs: + self._stubs["get_feature_group"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureRegistryService/GetFeatureGroup", + request_serializer=feature_registry_service.GetFeatureGroupRequest.serialize, + response_deserializer=feature_group.FeatureGroup.deserialize, + ) + return self._stubs["get_feature_group"] + + @property + def list_feature_groups( + self, + ) -> Callable[ + [feature_registry_service.ListFeatureGroupsRequest], + Awaitable[feature_registry_service.ListFeatureGroupsResponse], + ]: + r"""Return a callable for the list feature groups method over gRPC. + + Lists FeatureGroups in a given project and location. + + Returns: + Callable[[~.ListFeatureGroupsRequest], + Awaitable[~.ListFeatureGroupsResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_feature_groups" not in self._stubs: + self._stubs["list_feature_groups"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureRegistryService/ListFeatureGroups", + request_serializer=feature_registry_service.ListFeatureGroupsRequest.serialize, + response_deserializer=feature_registry_service.ListFeatureGroupsResponse.deserialize, + ) + return self._stubs["list_feature_groups"] + + @property + def update_feature_group( + self, + ) -> Callable[ + [feature_registry_service.UpdateFeatureGroupRequest], + Awaitable[operations_pb2.Operation], + ]: + r"""Return a callable for the update feature group method over gRPC. + + Updates the parameters of a single FeatureGroup. + + Returns: + Callable[[~.UpdateFeatureGroupRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "update_feature_group" not in self._stubs: + self._stubs["update_feature_group"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureRegistryService/UpdateFeatureGroup", + request_serializer=feature_registry_service.UpdateFeatureGroupRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["update_feature_group"] + + @property + def delete_feature_group( + self, + ) -> Callable[ + [feature_registry_service.DeleteFeatureGroupRequest], + Awaitable[operations_pb2.Operation], + ]: + r"""Return a callable for the delete feature group method over gRPC. + + Deletes a single FeatureGroup. + + Returns: + Callable[[~.DeleteFeatureGroupRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_feature_group" not in self._stubs: + self._stubs["delete_feature_group"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureRegistryService/DeleteFeatureGroup", + request_serializer=feature_registry_service.DeleteFeatureGroupRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["delete_feature_group"] + + @property + def create_feature( + self, + ) -> Callable[ + [featurestore_service.CreateFeatureRequest], Awaitable[operations_pb2.Operation] + ]: + r"""Return a callable for the create feature method over gRPC. + + Creates a new Feature in a given FeatureGroup. + + Returns: + Callable[[~.CreateFeatureRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "create_feature" not in self._stubs: + self._stubs["create_feature"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureRegistryService/CreateFeature", + request_serializer=featurestore_service.CreateFeatureRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["create_feature"] + + @property + def batch_create_features( + self, + ) -> Callable[ + [featurestore_service.BatchCreateFeaturesRequest], + Awaitable[operations_pb2.Operation], + ]: + r"""Return a callable for the batch create features method over gRPC. + + Creates a batch of Features in a given FeatureGroup. + + Returns: + Callable[[~.BatchCreateFeaturesRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "batch_create_features" not in self._stubs: + self._stubs["batch_create_features"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureRegistryService/BatchCreateFeatures", + request_serializer=featurestore_service.BatchCreateFeaturesRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["batch_create_features"] + + @property + def get_feature( + self, + ) -> Callable[[featurestore_service.GetFeatureRequest], Awaitable[feature.Feature]]: + r"""Return a callable for the get feature method over gRPC. + + Gets details of a single Feature. + + Returns: + Callable[[~.GetFeatureRequest], + Awaitable[~.Feature]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_feature" not in self._stubs: + self._stubs["get_feature"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureRegistryService/GetFeature", + request_serializer=featurestore_service.GetFeatureRequest.serialize, + response_deserializer=feature.Feature.deserialize, + ) + return self._stubs["get_feature"] + + @property + def list_features( + self, + ) -> Callable[ + [featurestore_service.ListFeaturesRequest], + Awaitable[featurestore_service.ListFeaturesResponse], + ]: + r"""Return a callable for the list features method over gRPC. + + Lists Features in a given FeatureGroup. + + Returns: + Callable[[~.ListFeaturesRequest], + Awaitable[~.ListFeaturesResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_features" not in self._stubs: + self._stubs["list_features"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureRegistryService/ListFeatures", + request_serializer=featurestore_service.ListFeaturesRequest.serialize, + response_deserializer=featurestore_service.ListFeaturesResponse.deserialize, + ) + return self._stubs["list_features"] + + @property + def update_feature( + self, + ) -> Callable[ + [featurestore_service.UpdateFeatureRequest], Awaitable[operations_pb2.Operation] + ]: + r"""Return a callable for the update feature method over gRPC. + + Updates the parameters of a single Feature. + + Returns: + Callable[[~.UpdateFeatureRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "update_feature" not in self._stubs: + self._stubs["update_feature"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureRegistryService/UpdateFeature", + request_serializer=featurestore_service.UpdateFeatureRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["update_feature"] + + @property + def delete_feature( + self, + ) -> Callable[ + [featurestore_service.DeleteFeatureRequest], Awaitable[operations_pb2.Operation] + ]: + r"""Return a callable for the delete feature method over gRPC. + + Deletes a single Feature. + + Returns: + Callable[[~.DeleteFeatureRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_feature" not in self._stubs: + self._stubs["delete_feature"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeatureRegistryService/DeleteFeature", + request_serializer=featurestore_service.DeleteFeatureRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["delete_feature"] + + def _prep_wrapped_messages(self, client_info): + """Precompute the wrapped methods, overriding the base class method to use async wrappers.""" + self._wrapped_methods = { + self.create_feature_group: self._wrap_method( + self.create_feature_group, + default_timeout=None, + client_info=client_info, + ), + self.get_feature_group: self._wrap_method( + self.get_feature_group, + default_timeout=None, + client_info=client_info, + ), + self.list_feature_groups: self._wrap_method( + self.list_feature_groups, + default_timeout=None, + client_info=client_info, + ), + self.update_feature_group: self._wrap_method( + self.update_feature_group, + default_timeout=None, + client_info=client_info, + ), + self.delete_feature_group: self._wrap_method( + self.delete_feature_group, + default_timeout=None, + client_info=client_info, + ), + self.create_feature: self._wrap_method( + self.create_feature, + default_timeout=None, + client_info=client_info, + ), + self.batch_create_features: self._wrap_method( + self.batch_create_features, + default_timeout=None, + client_info=client_info, + ), + self.get_feature: self._wrap_method( + self.get_feature, + default_timeout=None, + client_info=client_info, + ), + self.list_features: self._wrap_method( + self.list_features, + default_timeout=None, + client_info=client_info, + ), + self.update_feature: self._wrap_method( + self.update_feature, + default_timeout=None, + client_info=client_info, + ), + self.delete_feature: self._wrap_method( + self.delete_feature, + default_timeout=None, + client_info=client_info, + ), + self.get_location: self._wrap_method( + self.get_location, + default_timeout=None, + client_info=client_info, + ), + self.list_locations: self._wrap_method( + self.list_locations, + default_timeout=None, + client_info=client_info, + ), + self.get_iam_policy: self._wrap_method( + self.get_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.set_iam_policy: self._wrap_method( + self.set_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.test_iam_permissions: self._wrap_method( + self.test_iam_permissions, + default_timeout=None, + client_info=client_info, + ), + self.cancel_operation: self._wrap_method( + self.cancel_operation, + default_timeout=None, + client_info=client_info, + ), + self.delete_operation: self._wrap_method( + self.delete_operation, + default_timeout=None, + client_info=client_info, + ), + self.get_operation: self._wrap_method( + self.get_operation, + default_timeout=None, + client_info=client_info, + ), + self.list_operations: self._wrap_method( + self.list_operations, + default_timeout=None, + client_info=client_info, + ), + self.wait_operation: self._wrap_method( + self.wait_operation, + default_timeout=None, + client_info=client_info, + ), + } + + def _wrap_method(self, func, *args, **kwargs): + if self._wrap_with_kind: # pragma: NO COVER + kwargs["kind"] = self.kind + return gapic_v1.method_async.wrap_method(func, *args, **kwargs) + + def close(self): + return self._logged_channel.close() + + @property + def kind(self) -> str: + return "grpc_asyncio" + + @property + def delete_operation( + self, + ) -> Callable[[operations_pb2.DeleteOperationRequest], None]: + r"""Return a callable for the delete_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_operation" not in self._stubs: + self._stubs["delete_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/DeleteOperation", + request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["delete_operation"] + + @property + def cancel_operation( + self, + ) -> Callable[[operations_pb2.CancelOperationRequest], None]: + r"""Return a callable for the cancel_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "cancel_operation" not in self._stubs: + self._stubs["cancel_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/CancelOperation", + request_serializer=operations_pb2.CancelOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["cancel_operation"] + + @property + def wait_operation( + self, + ) -> Callable[[operations_pb2.WaitOperationRequest], None]: + r"""Return a callable for the wait_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "wait_operation" not in self._stubs: + self._stubs["wait_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/WaitOperation", + request_serializer=operations_pb2.WaitOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["wait_operation"] + + @property + def get_operation( + self, + ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]: + r"""Return a callable for the get_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_operation" not in self._stubs: + self._stubs["get_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/GetOperation", + request_serializer=operations_pb2.GetOperationRequest.SerializeToString, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["get_operation"] + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse + ]: + r"""Return a callable for the list_operations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_operations" not in self._stubs: + self._stubs["list_operations"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/ListOperations", + request_serializer=operations_pb2.ListOperationsRequest.SerializeToString, + response_deserializer=operations_pb2.ListOperationsResponse.FromString, + ) + return self._stubs["list_operations"] + + @property + def list_locations( + self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse + ]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_locations" not in self._stubs: + self._stubs["list_locations"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/ListLocations", + request_serializer=locations_pb2.ListLocationsRequest.SerializeToString, + response_deserializer=locations_pb2.ListLocationsResponse.FromString, + ) + return self._stubs["list_locations"] + + @property + def get_location( + self, + ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_location" not in self._stubs: + self._stubs["get_location"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/GetLocation", + request_serializer=locations_pb2.GetLocationRequest.SerializeToString, + response_deserializer=locations_pb2.Location.FromString, + ) + return self._stubs["get_location"] + + @property + def set_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.SetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the set iam policy method over gRPC. + Sets the IAM access control policy on the specified + function. Replaces any existing policy. + Returns: + Callable[[~.SetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "set_iam_policy" not in self._stubs: + self._stubs["set_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/SetIamPolicy", + request_serializer=iam_policy_pb2.SetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["set_iam_policy"] + + @property + def get_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.GetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the get iam policy method over gRPC. + Gets the IAM access control policy for a function. + Returns an empty policy if the function exists and does + not have a policy set. + Returns: + Callable[[~.GetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_iam_policy" not in self._stubs: + self._stubs["get_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/GetIamPolicy", + request_serializer=iam_policy_pb2.GetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["get_iam_policy"] + + @property + def test_iam_permissions( + self, + ) -> Callable[ + [iam_policy_pb2.TestIamPermissionsRequest], + iam_policy_pb2.TestIamPermissionsResponse, + ]: + r"""Return a callable for the test iam permissions method over gRPC. + Tests the specified permissions against the IAM access control + policy for a function. If the function does not exist, this will + return an empty set of permissions, not a NOT_FOUND error. + Returns: + Callable[[~.TestIamPermissionsRequest], + ~.TestIamPermissionsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "test_iam_permissions" not in self._stubs: + self._stubs["test_iam_permissions"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/TestIamPermissions", + request_serializer=iam_policy_pb2.TestIamPermissionsRequest.SerializeToString, + response_deserializer=iam_policy_pb2.TestIamPermissionsResponse.FromString, + ) + return self._stubs["test_iam_permissions"] + + +__all__ = ("FeatureRegistryServiceGrpcAsyncIOTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/transports/rest.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/transports/rest.py new file mode 100644 index 0000000000000000000000000000000000000000..f02a9bf94f5e3386a4488d8f25d5e4eb1c88008f --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/transports/rest.py @@ -0,0 +1,6259 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging +import json # type: ignore + +from google.auth.transport.requests import AuthorizedSession # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.api_core import exceptions as core_exceptions +from google.api_core import retry as retries +from google.api_core import rest_helpers +from google.api_core import rest_streaming +from google.api_core import gapic_v1 +import google.protobuf + +from google.protobuf import json_format +from google.api_core import operations_v1 +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore + +from requests import __version__ as requests_version +import dataclasses +from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union +import warnings + + +from google.cloud.aiplatform_v1.types import feature +from google.cloud.aiplatform_v1.types import feature_group +from google.cloud.aiplatform_v1.types import feature_registry_service +from google.cloud.aiplatform_v1.types import featurestore_service +from google.longrunning import operations_pb2 # type: ignore + + +from .rest_base import _BaseFeatureRegistryServiceRestTransport +from .base import DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = logging.getLogger(__name__) + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version, + grpc_version=None, + rest_version=f"requests@{requests_version}", +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +class FeatureRegistryServiceRestInterceptor: + """Interceptor for FeatureRegistryService. + + Interceptors are used to manipulate requests, request metadata, and responses + in arbitrary ways. + Example use cases include: + * Logging + * Verifying requests according to service or custom semantics + * Stripping extraneous information from responses + + These use cases and more can be enabled by injecting an + instance of a custom subclass when constructing the FeatureRegistryServiceRestTransport. + + .. code-block:: python + class MyCustomFeatureRegistryServiceInterceptor(FeatureRegistryServiceRestInterceptor): + def pre_batch_create_features(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_batch_create_features(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_create_feature(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_create_feature(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_create_feature_group(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_create_feature_group(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_delete_feature(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_delete_feature(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_delete_feature_group(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_delete_feature_group(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_get_feature(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_get_feature(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_get_feature_group(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_get_feature_group(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_list_feature_groups(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_list_feature_groups(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_list_features(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_list_features(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_update_feature(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_update_feature(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_update_feature_group(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_update_feature_group(self, response): + logging.log(f"Received response: {response}") + return response + + transport = FeatureRegistryServiceRestTransport(interceptor=MyCustomFeatureRegistryServiceInterceptor()) + client = FeatureRegistryServiceClient(transport=transport) + + + """ + + def pre_batch_create_features( + self, + request: featurestore_service.BatchCreateFeaturesRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + featurestore_service.BatchCreateFeaturesRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for batch_create_features + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + def post_batch_create_features( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for batch_create_features + + DEPRECATED. Please use the `post_batch_create_features_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. This `post_batch_create_features` interceptor runs + before the `post_batch_create_features_with_metadata` interceptor. + """ + return response + + def post_batch_create_features_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for batch_create_features + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureRegistryService server but before it is returned to user code. + + We recommend only using this `post_batch_create_features_with_metadata` + interceptor in new development instead of the `post_batch_create_features` interceptor. + When both interceptors are used, this `post_batch_create_features_with_metadata` interceptor runs after the + `post_batch_create_features` interceptor. The (possibly modified) response returned by + `post_batch_create_features` will be passed to + `post_batch_create_features_with_metadata`. + """ + return response, metadata + + def pre_create_feature( + self, + request: featurestore_service.CreateFeatureRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + featurestore_service.CreateFeatureRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for create_feature + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + def post_create_feature( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for create_feature + + DEPRECATED. Please use the `post_create_feature_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. This `post_create_feature` interceptor runs + before the `post_create_feature_with_metadata` interceptor. + """ + return response + + def post_create_feature_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for create_feature + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureRegistryService server but before it is returned to user code. + + We recommend only using this `post_create_feature_with_metadata` + interceptor in new development instead of the `post_create_feature` interceptor. + When both interceptors are used, this `post_create_feature_with_metadata` interceptor runs after the + `post_create_feature` interceptor. The (possibly modified) response returned by + `post_create_feature` will be passed to + `post_create_feature_with_metadata`. + """ + return response, metadata + + def pre_create_feature_group( + self, + request: feature_registry_service.CreateFeatureGroupRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_registry_service.CreateFeatureGroupRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for create_feature_group + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + def post_create_feature_group( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for create_feature_group + + DEPRECATED. Please use the `post_create_feature_group_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. This `post_create_feature_group` interceptor runs + before the `post_create_feature_group_with_metadata` interceptor. + """ + return response + + def post_create_feature_group_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for create_feature_group + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureRegistryService server but before it is returned to user code. + + We recommend only using this `post_create_feature_group_with_metadata` + interceptor in new development instead of the `post_create_feature_group` interceptor. + When both interceptors are used, this `post_create_feature_group_with_metadata` interceptor runs after the + `post_create_feature_group` interceptor. The (possibly modified) response returned by + `post_create_feature_group` will be passed to + `post_create_feature_group_with_metadata`. + """ + return response, metadata + + def pre_delete_feature( + self, + request: featurestore_service.DeleteFeatureRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + featurestore_service.DeleteFeatureRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for delete_feature + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + def post_delete_feature( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for delete_feature + + DEPRECATED. Please use the `post_delete_feature_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. This `post_delete_feature` interceptor runs + before the `post_delete_feature_with_metadata` interceptor. + """ + return response + + def post_delete_feature_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for delete_feature + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureRegistryService server but before it is returned to user code. + + We recommend only using this `post_delete_feature_with_metadata` + interceptor in new development instead of the `post_delete_feature` interceptor. + When both interceptors are used, this `post_delete_feature_with_metadata` interceptor runs after the + `post_delete_feature` interceptor. The (possibly modified) response returned by + `post_delete_feature` will be passed to + `post_delete_feature_with_metadata`. + """ + return response, metadata + + def pre_delete_feature_group( + self, + request: feature_registry_service.DeleteFeatureGroupRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_registry_service.DeleteFeatureGroupRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for delete_feature_group + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + def post_delete_feature_group( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for delete_feature_group + + DEPRECATED. Please use the `post_delete_feature_group_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. This `post_delete_feature_group` interceptor runs + before the `post_delete_feature_group_with_metadata` interceptor. + """ + return response + + def post_delete_feature_group_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for delete_feature_group + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureRegistryService server but before it is returned to user code. + + We recommend only using this `post_delete_feature_group_with_metadata` + interceptor in new development instead of the `post_delete_feature_group` interceptor. + When both interceptors are used, this `post_delete_feature_group_with_metadata` interceptor runs after the + `post_delete_feature_group` interceptor. The (possibly modified) response returned by + `post_delete_feature_group` will be passed to + `post_delete_feature_group_with_metadata`. + """ + return response, metadata + + def pre_get_feature( + self, + request: featurestore_service.GetFeatureRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + featurestore_service.GetFeatureRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_feature + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + def post_get_feature(self, response: feature.Feature) -> feature.Feature: + """Post-rpc interceptor for get_feature + + DEPRECATED. Please use the `post_get_feature_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. This `post_get_feature` interceptor runs + before the `post_get_feature_with_metadata` interceptor. + """ + return response + + def post_get_feature_with_metadata( + self, + response: feature.Feature, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[feature.Feature, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for get_feature + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureRegistryService server but before it is returned to user code. + + We recommend only using this `post_get_feature_with_metadata` + interceptor in new development instead of the `post_get_feature` interceptor. + When both interceptors are used, this `post_get_feature_with_metadata` interceptor runs after the + `post_get_feature` interceptor. The (possibly modified) response returned by + `post_get_feature` will be passed to + `post_get_feature_with_metadata`. + """ + return response, metadata + + def pre_get_feature_group( + self, + request: feature_registry_service.GetFeatureGroupRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_registry_service.GetFeatureGroupRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for get_feature_group + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + def post_get_feature_group( + self, response: feature_group.FeatureGroup + ) -> feature_group.FeatureGroup: + """Post-rpc interceptor for get_feature_group + + DEPRECATED. Please use the `post_get_feature_group_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. This `post_get_feature_group` interceptor runs + before the `post_get_feature_group_with_metadata` interceptor. + """ + return response + + def post_get_feature_group_with_metadata( + self, + response: feature_group.FeatureGroup, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[feature_group.FeatureGroup, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for get_feature_group + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureRegistryService server but before it is returned to user code. + + We recommend only using this `post_get_feature_group_with_metadata` + interceptor in new development instead of the `post_get_feature_group` interceptor. + When both interceptors are used, this `post_get_feature_group_with_metadata` interceptor runs after the + `post_get_feature_group` interceptor. The (possibly modified) response returned by + `post_get_feature_group` will be passed to + `post_get_feature_group_with_metadata`. + """ + return response, metadata + + def pre_list_feature_groups( + self, + request: feature_registry_service.ListFeatureGroupsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_registry_service.ListFeatureGroupsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for list_feature_groups + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + def post_list_feature_groups( + self, response: feature_registry_service.ListFeatureGroupsResponse + ) -> feature_registry_service.ListFeatureGroupsResponse: + """Post-rpc interceptor for list_feature_groups + + DEPRECATED. Please use the `post_list_feature_groups_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. This `post_list_feature_groups` interceptor runs + before the `post_list_feature_groups_with_metadata` interceptor. + """ + return response + + def post_list_feature_groups_with_metadata( + self, + response: feature_registry_service.ListFeatureGroupsResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_registry_service.ListFeatureGroupsResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for list_feature_groups + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureRegistryService server but before it is returned to user code. + + We recommend only using this `post_list_feature_groups_with_metadata` + interceptor in new development instead of the `post_list_feature_groups` interceptor. + When both interceptors are used, this `post_list_feature_groups_with_metadata` interceptor runs after the + `post_list_feature_groups` interceptor. The (possibly modified) response returned by + `post_list_feature_groups` will be passed to + `post_list_feature_groups_with_metadata`. + """ + return response, metadata + + def pre_list_features( + self, + request: featurestore_service.ListFeaturesRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + featurestore_service.ListFeaturesRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for list_features + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + def post_list_features( + self, response: featurestore_service.ListFeaturesResponse + ) -> featurestore_service.ListFeaturesResponse: + """Post-rpc interceptor for list_features + + DEPRECATED. Please use the `post_list_features_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. This `post_list_features` interceptor runs + before the `post_list_features_with_metadata` interceptor. + """ + return response + + def post_list_features_with_metadata( + self, + response: featurestore_service.ListFeaturesResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + featurestore_service.ListFeaturesResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for list_features + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureRegistryService server but before it is returned to user code. + + We recommend only using this `post_list_features_with_metadata` + interceptor in new development instead of the `post_list_features` interceptor. + When both interceptors are used, this `post_list_features_with_metadata` interceptor runs after the + `post_list_features` interceptor. The (possibly modified) response returned by + `post_list_features` will be passed to + `post_list_features_with_metadata`. + """ + return response, metadata + + def pre_update_feature( + self, + request: featurestore_service.UpdateFeatureRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + featurestore_service.UpdateFeatureRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for update_feature + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + def post_update_feature( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for update_feature + + DEPRECATED. Please use the `post_update_feature_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. This `post_update_feature` interceptor runs + before the `post_update_feature_with_metadata` interceptor. + """ + return response + + def post_update_feature_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for update_feature + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureRegistryService server but before it is returned to user code. + + We recommend only using this `post_update_feature_with_metadata` + interceptor in new development instead of the `post_update_feature` interceptor. + When both interceptors are used, this `post_update_feature_with_metadata` interceptor runs after the + `post_update_feature` interceptor. The (possibly modified) response returned by + `post_update_feature` will be passed to + `post_update_feature_with_metadata`. + """ + return response, metadata + + def pre_update_feature_group( + self, + request: feature_registry_service.UpdateFeatureGroupRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_registry_service.UpdateFeatureGroupRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for update_feature_group + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + def post_update_feature_group( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for update_feature_group + + DEPRECATED. Please use the `post_update_feature_group_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. This `post_update_feature_group` interceptor runs + before the `post_update_feature_group_with_metadata` interceptor. + """ + return response + + def post_update_feature_group_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for update_feature_group + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureRegistryService server but before it is returned to user code. + + We recommend only using this `post_update_feature_group_with_metadata` + interceptor in new development instead of the `post_update_feature_group` interceptor. + When both interceptors are used, this `post_update_feature_group_with_metadata` interceptor runs after the + `post_update_feature_group` interceptor. The (possibly modified) response returned by + `post_update_feature_group` will be passed to + `post_update_feature_group_with_metadata`. + """ + return response, metadata + + def pre_get_location( + self, + request: locations_pb2.GetLocationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.GetLocationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_location + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + def post_get_location( + self, response: locations_pb2.Location + ) -> locations_pb2.Location: + """Post-rpc interceptor for get_location + + Override in a subclass to manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. + """ + return response + + def pre_list_locations( + self, + request: locations_pb2.ListLocationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.ListLocationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_locations + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + def post_list_locations( + self, response: locations_pb2.ListLocationsResponse + ) -> locations_pb2.ListLocationsResponse: + """Post-rpc interceptor for list_locations + + Override in a subclass to manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. + """ + return response + + def pre_get_iam_policy( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.GetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + def post_get_iam_policy(self, response: policy_pb2.Policy) -> policy_pb2.Policy: + """Post-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. + """ + return response + + def pre_set_iam_policy( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.SetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + def post_set_iam_policy(self, response: policy_pb2.Policy) -> policy_pb2.Policy: + """Post-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. + """ + return response + + def pre_test_iam_permissions( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.TestIamPermissionsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + def post_test_iam_permissions( + self, response: iam_policy_pb2.TestIamPermissionsResponse + ) -> iam_policy_pb2.TestIamPermissionsResponse: + """Post-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. + """ + return response + + def pre_cancel_operation( + self, + request: operations_pb2.CancelOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.CancelOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + def post_cancel_operation(self, response: None) -> None: + """Post-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. + """ + return response + + def pre_delete_operation( + self, + request: operations_pb2.DeleteOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.DeleteOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for delete_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + def post_delete_operation(self, response: None) -> None: + """Post-rpc interceptor for delete_operation + + Override in a subclass to manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. + """ + return response + + def pre_get_operation( + self, + request: operations_pb2.GetOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.GetOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + def post_get_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for get_operation + + Override in a subclass to manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. + """ + return response + + def pre_list_operations( + self, + request: operations_pb2.ListOperationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.ListOperationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_operations + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + def post_list_operations( + self, response: operations_pb2.ListOperationsResponse + ) -> operations_pb2.ListOperationsResponse: + """Post-rpc interceptor for list_operations + + Override in a subclass to manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. + """ + return response + + def pre_wait_operation( + self, + request: operations_pb2.WaitOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.WaitOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for wait_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + def post_wait_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for wait_operation + + Override in a subclass to manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. + """ + return response + + +@dataclasses.dataclass +class FeatureRegistryServiceRestStub: + _session: AuthorizedSession + _host: str + _interceptor: FeatureRegistryServiceRestInterceptor + + +class FeatureRegistryServiceRestTransport(_BaseFeatureRegistryServiceRestTransport): + """REST backend synchronous transport for FeatureRegistryService. + + The service that handles CRUD and List for resources for + FeatureRegistry. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + """ + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + url_scheme: str = "https", + interceptor: Optional[FeatureRegistryServiceRestInterceptor] = None, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. This argument will be + removed in the next major version of this library. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if ``channel`` is provided. + client_cert_source_for_mtls (Callable[[], Tuple[bytes, bytes]]): Client + certificate to configure mutual TLS HTTP channel. It is ignored + if ``channel`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + url_scheme: the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + # TODO(yon-mg): resolve other ctor params i.e. scopes, quota, etc. + # TODO: When custom host (api_endpoint) is set, `scopes` must *also* be set on the + # credentials object + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + url_scheme=url_scheme, + api_audience=api_audience, + ) + self._session = AuthorizedSession( + self._credentials, default_host=self.DEFAULT_HOST + ) + self._operations_client: Optional[operations_v1.AbstractOperationsClient] = None + if client_cert_source_for_mtls: + self._session.configure_mtls_channel(client_cert_source_for_mtls) + self._interceptor = interceptor or FeatureRegistryServiceRestInterceptor() + self._prep_wrapped_messages(client_info) + + @property + def operations_client(self) -> operations_v1.AbstractOperationsClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Only create a new client if we do not already have one. + if self._operations_client is None: + http_options: Dict[str, List[Dict[str, str]]] = { + "google.longrunning.Operations.CancelOperation": [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + ], + "google.longrunning.Operations.DeleteOperation": [ + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensions/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "delete", + "uri": 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"/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/schedules/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=reasoningEngines/*/sessions/*}/operations", + }, + ], + "google.longrunning.Operations.WaitOperation": [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:wait", + }, + ], + } + + rest_transport = operations_v1.OperationsRestTransport( + host=self._host, + # use the credentials which are saved + credentials=self._credentials, + scopes=self._scopes, + http_options=http_options, + path_prefix="v1", + ) + + self._operations_client = operations_v1.AbstractOperationsClient( + transport=rest_transport + ) + + # Return the client from cache. + return self._operations_client + + class _BatchCreateFeatures( + _BaseFeatureRegistryServiceRestTransport._BaseBatchCreateFeatures, + FeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("FeatureRegistryServiceRestTransport.BatchCreateFeatures") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: featurestore_service.BatchCreateFeaturesRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the batch create features method over HTTP. + + Args: + request (~.featurestore_service.BatchCreateFeaturesRequest): + The request object. Request message for + [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures]. + Request message for + [FeatureRegistryService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeatureRegistryService.BatchCreateFeatures]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseBatchCreateFeatures._get_http_options() + ) + + request, metadata = self._interceptor.pre_batch_create_features( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseBatchCreateFeatures._get_transcoded_request( + http_options, request + ) + + body = _BaseFeatureRegistryServiceRestTransport._BaseBatchCreateFeatures._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseBatchCreateFeatures._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.BatchCreateFeatures", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "BatchCreateFeatures", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + FeatureRegistryServiceRestTransport._BatchCreateFeatures._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_batch_create_features(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_batch_create_features_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.batch_create_features", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "BatchCreateFeatures", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _CreateFeature( + _BaseFeatureRegistryServiceRestTransport._BaseCreateFeature, + FeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("FeatureRegistryServiceRestTransport.CreateFeature") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: featurestore_service.CreateFeatureRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the create feature method over HTTP. + + Args: + request (~.featurestore_service.CreateFeatureRequest): + The request object. Request message for + [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeature]. + Request message for + [FeatureRegistryService.CreateFeature][google.cloud.aiplatform.v1.FeatureRegistryService.CreateFeature]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseCreateFeature._get_http_options() + ) + + request, metadata = self._interceptor.pre_create_feature(request, metadata) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseCreateFeature._get_transcoded_request( + http_options, request + ) + + body = _BaseFeatureRegistryServiceRestTransport._BaseCreateFeature._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseCreateFeature._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.CreateFeature", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "CreateFeature", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureRegistryServiceRestTransport._CreateFeature._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_create_feature(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_create_feature_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.create_feature", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "CreateFeature", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _CreateFeatureGroup( + _BaseFeatureRegistryServiceRestTransport._BaseCreateFeatureGroup, + FeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("FeatureRegistryServiceRestTransport.CreateFeatureGroup") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: feature_registry_service.CreateFeatureGroupRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the create feature group method over HTTP. + + Args: + request (~.feature_registry_service.CreateFeatureGroupRequest): + The request object. Request message for + [FeatureRegistryService.CreateFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.CreateFeatureGroup]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseCreateFeatureGroup._get_http_options() + ) + + request, metadata = self._interceptor.pre_create_feature_group( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseCreateFeatureGroup._get_transcoded_request( + http_options, request + ) + + body = _BaseFeatureRegistryServiceRestTransport._BaseCreateFeatureGroup._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseCreateFeatureGroup._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.CreateFeatureGroup", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "CreateFeatureGroup", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + FeatureRegistryServiceRestTransport._CreateFeatureGroup._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_create_feature_group(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_create_feature_group_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.create_feature_group", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "CreateFeatureGroup", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _DeleteFeature( + _BaseFeatureRegistryServiceRestTransport._BaseDeleteFeature, + FeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("FeatureRegistryServiceRestTransport.DeleteFeature") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: featurestore_service.DeleteFeatureRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the delete feature method over HTTP. + + Args: + request (~.featurestore_service.DeleteFeatureRequest): + The request object. Request message for + [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeature]. + Request message for + [FeatureRegistryService.DeleteFeature][google.cloud.aiplatform.v1.FeatureRegistryService.DeleteFeature]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseDeleteFeature._get_http_options() + ) + + request, metadata = self._interceptor.pre_delete_feature(request, metadata) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseDeleteFeature._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseDeleteFeature._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.DeleteFeature", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "DeleteFeature", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureRegistryServiceRestTransport._DeleteFeature._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_delete_feature(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_delete_feature_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.delete_feature", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "DeleteFeature", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _DeleteFeatureGroup( + _BaseFeatureRegistryServiceRestTransport._BaseDeleteFeatureGroup, + FeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("FeatureRegistryServiceRestTransport.DeleteFeatureGroup") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: feature_registry_service.DeleteFeatureGroupRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the delete feature group method over HTTP. + + Args: + request (~.feature_registry_service.DeleteFeatureGroupRequest): + The request object. Request message for + [FeatureRegistryService.DeleteFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.DeleteFeatureGroup]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseDeleteFeatureGroup._get_http_options() + ) + + request, metadata = self._interceptor.pre_delete_feature_group( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseDeleteFeatureGroup._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseDeleteFeatureGroup._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.DeleteFeatureGroup", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "DeleteFeatureGroup", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + FeatureRegistryServiceRestTransport._DeleteFeatureGroup._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_delete_feature_group(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_delete_feature_group_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.delete_feature_group", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "DeleteFeatureGroup", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _GetFeature( + _BaseFeatureRegistryServiceRestTransport._BaseGetFeature, + FeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("FeatureRegistryServiceRestTransport.GetFeature") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: featurestore_service.GetFeatureRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature.Feature: + r"""Call the get feature method over HTTP. + + Args: + request (~.featurestore_service.GetFeatureRequest): + The request object. Request message for + [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1.FeaturestoreService.GetFeature]. + Request message for + [FeatureRegistryService.GetFeature][google.cloud.aiplatform.v1.FeatureRegistryService.GetFeature]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.feature.Feature: + Feature Metadata information. + For example, color is a feature that + describes an apple. + + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseGetFeature._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_feature(request, metadata) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseGetFeature._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseGetFeature._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.GetFeature", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "GetFeature", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureRegistryServiceRestTransport._GetFeature._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = feature.Feature() + pb_resp = feature.Feature.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_get_feature(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_get_feature_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = feature.Feature.to_json(response) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.get_feature", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "GetFeature", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _GetFeatureGroup( + _BaseFeatureRegistryServiceRestTransport._BaseGetFeatureGroup, + FeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("FeatureRegistryServiceRestTransport.GetFeatureGroup") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: feature_registry_service.GetFeatureGroupRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_group.FeatureGroup: + r"""Call the get feature group method over HTTP. + + Args: + request (~.feature_registry_service.GetFeatureGroupRequest): + The request object. Request message for + [FeatureRegistryService.GetFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.GetFeatureGroup]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.feature_group.FeatureGroup: + Vertex AI Feature Group. + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseGetFeatureGroup._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_feature_group( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseGetFeatureGroup._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseGetFeatureGroup._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.GetFeatureGroup", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "GetFeatureGroup", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + FeatureRegistryServiceRestTransport._GetFeatureGroup._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = feature_group.FeatureGroup() + pb_resp = feature_group.FeatureGroup.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_get_feature_group(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_get_feature_group_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = feature_group.FeatureGroup.to_json(response) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.get_feature_group", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "GetFeatureGroup", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _ListFeatureGroups( + _BaseFeatureRegistryServiceRestTransport._BaseListFeatureGroups, + FeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("FeatureRegistryServiceRestTransport.ListFeatureGroups") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: feature_registry_service.ListFeatureGroupsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_registry_service.ListFeatureGroupsResponse: + r"""Call the list feature groups method over HTTP. + + Args: + request (~.feature_registry_service.ListFeatureGroupsRequest): + The request object. Request message for + [FeatureRegistryService.ListFeatureGroups][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatureGroups]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.feature_registry_service.ListFeatureGroupsResponse: + Response message for + [FeatureRegistryService.ListFeatureGroups][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatureGroups]. + + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseListFeatureGroups._get_http_options() + ) + + request, metadata = self._interceptor.pre_list_feature_groups( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseListFeatureGroups._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseListFeatureGroups._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.ListFeatureGroups", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "ListFeatureGroups", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + FeatureRegistryServiceRestTransport._ListFeatureGroups._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = feature_registry_service.ListFeatureGroupsResponse() + pb_resp = feature_registry_service.ListFeatureGroupsResponse.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_list_feature_groups(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_list_feature_groups_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = ( + feature_registry_service.ListFeatureGroupsResponse.to_json( + response + ) + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.list_feature_groups", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "ListFeatureGroups", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _ListFeatures( + _BaseFeatureRegistryServiceRestTransport._BaseListFeatures, + FeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("FeatureRegistryServiceRestTransport.ListFeatures") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: featurestore_service.ListFeaturesRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> featurestore_service.ListFeaturesResponse: + r"""Call the list features method over HTTP. + + Args: + request (~.featurestore_service.ListFeaturesRequest): + The request object. Request message for + [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]. + Request message for + [FeatureRegistryService.ListFeatures][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatures]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.featurestore_service.ListFeaturesResponse: + Response message for + [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]. + Response message for + [FeatureRegistryService.ListFeatures][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatures]. + + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseListFeatures._get_http_options() + ) + + request, metadata = self._interceptor.pre_list_features(request, metadata) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseListFeatures._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseListFeatures._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.ListFeatures", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "ListFeatures", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureRegistryServiceRestTransport._ListFeatures._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = featurestore_service.ListFeaturesResponse() + pb_resp = featurestore_service.ListFeaturesResponse.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_list_features(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_list_features_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = ( + featurestore_service.ListFeaturesResponse.to_json(response) + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.list_features", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "ListFeatures", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _UpdateFeature( + _BaseFeatureRegistryServiceRestTransport._BaseUpdateFeature, + FeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("FeatureRegistryServiceRestTransport.UpdateFeature") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: featurestore_service.UpdateFeatureRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the update feature method over HTTP. + + Args: + request (~.featurestore_service.UpdateFeatureRequest): + The request object. Request message for + [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeature]. + Request message for + [FeatureRegistryService.UpdateFeature][google.cloud.aiplatform.v1.FeatureRegistryService.UpdateFeature]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseUpdateFeature._get_http_options() + ) + + request, metadata = self._interceptor.pre_update_feature(request, metadata) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseUpdateFeature._get_transcoded_request( + http_options, request + ) + + body = _BaseFeatureRegistryServiceRestTransport._BaseUpdateFeature._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseUpdateFeature._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.UpdateFeature", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "UpdateFeature", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureRegistryServiceRestTransport._UpdateFeature._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_update_feature(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_update_feature_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.update_feature", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "UpdateFeature", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _UpdateFeatureGroup( + _BaseFeatureRegistryServiceRestTransport._BaseUpdateFeatureGroup, + FeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("FeatureRegistryServiceRestTransport.UpdateFeatureGroup") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: feature_registry_service.UpdateFeatureGroupRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the update feature group method over HTTP. + + Args: + request (~.feature_registry_service.UpdateFeatureGroupRequest): + The request object. Request message for + [FeatureRegistryService.UpdateFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.UpdateFeatureGroup]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseUpdateFeatureGroup._get_http_options() + ) + + request, metadata = self._interceptor.pre_update_feature_group( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseUpdateFeatureGroup._get_transcoded_request( + http_options, request + ) + + body = _BaseFeatureRegistryServiceRestTransport._BaseUpdateFeatureGroup._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseUpdateFeatureGroup._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.UpdateFeatureGroup", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "UpdateFeatureGroup", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + FeatureRegistryServiceRestTransport._UpdateFeatureGroup._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_update_feature_group(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_update_feature_group_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.update_feature_group", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "UpdateFeatureGroup", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + @property + def batch_create_features( + self, + ) -> Callable[ + [featurestore_service.BatchCreateFeaturesRequest], operations_pb2.Operation + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._BatchCreateFeatures(self._session, self._host, self._interceptor) # type: ignore + + @property + def create_feature( + self, + ) -> Callable[ + [featurestore_service.CreateFeatureRequest], operations_pb2.Operation + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._CreateFeature(self._session, self._host, self._interceptor) # type: ignore + + @property + def create_feature_group( + self, + ) -> Callable[ + [feature_registry_service.CreateFeatureGroupRequest], operations_pb2.Operation + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._CreateFeatureGroup(self._session, self._host, self._interceptor) # type: ignore + + @property + def delete_feature( + self, + ) -> Callable[ + [featurestore_service.DeleteFeatureRequest], operations_pb2.Operation + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._DeleteFeature(self._session, self._host, self._interceptor) # type: ignore + + @property + def delete_feature_group( + self, + ) -> Callable[ + [feature_registry_service.DeleteFeatureGroupRequest], operations_pb2.Operation + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._DeleteFeatureGroup(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_feature( + self, + ) -> Callable[[featurestore_service.GetFeatureRequest], feature.Feature]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._GetFeature(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_feature_group( + self, + ) -> Callable[ + [feature_registry_service.GetFeatureGroupRequest], feature_group.FeatureGroup + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._GetFeatureGroup(self._session, self._host, self._interceptor) # type: ignore + + @property + def list_feature_groups( + self, + ) -> Callable[ + [feature_registry_service.ListFeatureGroupsRequest], + feature_registry_service.ListFeatureGroupsResponse, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._ListFeatureGroups(self._session, self._host, self._interceptor) # type: ignore + + @property + def list_features( + self, + ) -> Callable[ + [featurestore_service.ListFeaturesRequest], + featurestore_service.ListFeaturesResponse, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._ListFeatures(self._session, self._host, self._interceptor) # type: ignore + + @property + def update_feature( + self, + ) -> Callable[ + [featurestore_service.UpdateFeatureRequest], operations_pb2.Operation + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._UpdateFeature(self._session, self._host, self._interceptor) # type: ignore + + @property + def update_feature_group( + self, + ) -> Callable[ + [feature_registry_service.UpdateFeatureGroupRequest], operations_pb2.Operation + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._UpdateFeatureGroup(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_location(self): + return self._GetLocation(self._session, self._host, self._interceptor) # type: ignore + + class _GetLocation( + _BaseFeatureRegistryServiceRestTransport._BaseGetLocation, + FeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("FeatureRegistryServiceRestTransport.GetLocation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: locations_pb2.GetLocationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Call the get location method over HTTP. + + Args: + request (locations_pb2.GetLocationRequest): + The request object for GetLocation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.Location: Response from GetLocation method. + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseGetLocation._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_location(request, metadata) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseGetLocation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseGetLocation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "GetLocation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureRegistryServiceRestTransport._GetLocation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = locations_pb2.Location() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_get_location(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "GetLocation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_locations(self): + return self._ListLocations(self._session, self._host, self._interceptor) # type: ignore + + class _ListLocations( + _BaseFeatureRegistryServiceRestTransport._BaseListLocations, + FeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("FeatureRegistryServiceRestTransport.ListLocations") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: locations_pb2.ListLocationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Call the list locations method over HTTP. + + Args: + request (locations_pb2.ListLocationsRequest): + The request object for ListLocations method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.ListLocationsResponse: Response from ListLocations method. + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseListLocations._get_http_options() + ) + + request, metadata = self._interceptor.pre_list_locations(request, metadata) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseListLocations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseListLocations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "ListLocations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureRegistryServiceRestTransport._ListLocations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = locations_pb2.ListLocationsResponse() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_list_locations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "ListLocations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def get_iam_policy(self): + return self._GetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _GetIamPolicy( + _BaseFeatureRegistryServiceRestTransport._BaseGetIamPolicy, + FeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("FeatureRegistryServiceRestTransport.GetIamPolicy") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the get iam policy method over HTTP. + + Args: + request (iam_policy_pb2.GetIamPolicyRequest): + The request object for GetIamPolicy method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from GetIamPolicy method. + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseGetIamPolicy._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_iam_policy(request, metadata) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseGetIamPolicy._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseGetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "GetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureRegistryServiceRestTransport._GetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_get_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "GetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def set_iam_policy(self): + return self._SetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _SetIamPolicy( + _BaseFeatureRegistryServiceRestTransport._BaseSetIamPolicy, + FeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("FeatureRegistryServiceRestTransport.SetIamPolicy") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the set iam policy method over HTTP. + + Args: + request (iam_policy_pb2.SetIamPolicyRequest): + The request object for SetIamPolicy method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from SetIamPolicy method. + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseSetIamPolicy._get_http_options() + ) + + request, metadata = self._interceptor.pre_set_iam_policy(request, metadata) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseSetIamPolicy._get_transcoded_request( + http_options, request + ) + + body = _BaseFeatureRegistryServiceRestTransport._BaseSetIamPolicy._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseSetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "SetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureRegistryServiceRestTransport._SetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_set_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "SetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def test_iam_permissions(self): + return self._TestIamPermissions(self._session, self._host, self._interceptor) # type: ignore + + class _TestIamPermissions( + _BaseFeatureRegistryServiceRestTransport._BaseTestIamPermissions, + FeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("FeatureRegistryServiceRestTransport.TestIamPermissions") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Call the test iam permissions method over HTTP. + + Args: + request (iam_policy_pb2.TestIamPermissionsRequest): + The request object for TestIamPermissions method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + iam_policy_pb2.TestIamPermissionsResponse: Response from TestIamPermissions method. + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseTestIamPermissions._get_http_options() + ) + + request, metadata = self._interceptor.pre_test_iam_permissions( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseTestIamPermissions._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseTestIamPermissions._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "TestIamPermissions", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + FeatureRegistryServiceRestTransport._TestIamPermissions._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = iam_policy_pb2.TestIamPermissionsResponse() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_test_iam_permissions(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "TestIamPermissions", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def cancel_operation(self): + return self._CancelOperation(self._session, self._host, self._interceptor) # type: ignore + + class _CancelOperation( + _BaseFeatureRegistryServiceRestTransport._BaseCancelOperation, + FeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("FeatureRegistryServiceRestTransport.CancelOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.CancelOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the cancel operation method over HTTP. + + Args: + request (operations_pb2.CancelOperationRequest): + The request object for CancelOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseCancelOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_cancel_operation( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseCancelOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseCancelOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.CancelOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "CancelOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + FeatureRegistryServiceRestTransport._CancelOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + return self._interceptor.post_cancel_operation(None) + + @property + def delete_operation(self): + return self._DeleteOperation(self._session, self._host, self._interceptor) # type: ignore + + class _DeleteOperation( + _BaseFeatureRegistryServiceRestTransport._BaseDeleteOperation, + FeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("FeatureRegistryServiceRestTransport.DeleteOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.DeleteOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the delete operation method over HTTP. + + Args: + request (operations_pb2.DeleteOperationRequest): + The request object for DeleteOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseDeleteOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_delete_operation( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseDeleteOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseDeleteOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.DeleteOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "DeleteOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + FeatureRegistryServiceRestTransport._DeleteOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + return self._interceptor.post_delete_operation(None) + + @property + def get_operation(self): + return self._GetOperation(self._session, self._host, self._interceptor) # type: ignore + + class _GetOperation( + _BaseFeatureRegistryServiceRestTransport._BaseGetOperation, + FeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("FeatureRegistryServiceRestTransport.GetOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.GetOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the get operation method over HTTP. + + Args: + request (operations_pb2.GetOperationRequest): + The request object for GetOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from GetOperation method. + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseGetOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_operation(request, metadata) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseGetOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseGetOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "GetOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureRegistryServiceRestTransport._GetOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_get_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "GetOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_operations(self): + return self._ListOperations(self._session, self._host, self._interceptor) # type: ignore + + class _ListOperations( + _BaseFeatureRegistryServiceRestTransport._BaseListOperations, + FeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("FeatureRegistryServiceRestTransport.ListOperations") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.ListOperationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Call the list operations method over HTTP. + + Args: + request (operations_pb2.ListOperationsRequest): + The request object for ListOperations method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.ListOperationsResponse: Response from ListOperations method. + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseListOperations._get_http_options() + ) + + request, metadata = self._interceptor.pre_list_operations(request, metadata) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseListOperations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseListOperations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "ListOperations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + FeatureRegistryServiceRestTransport._ListOperations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = operations_pb2.ListOperationsResponse() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_list_operations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "ListOperations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def wait_operation(self): + return self._WaitOperation(self._session, self._host, self._interceptor) # type: ignore + + class _WaitOperation( + _BaseFeatureRegistryServiceRestTransport._BaseWaitOperation, + FeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("FeatureRegistryServiceRestTransport.WaitOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.WaitOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the wait operation method over HTTP. + + Args: + request (operations_pb2.WaitOperationRequest): + The request object for WaitOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from WaitOperation method. + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseWaitOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_wait_operation(request, metadata) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseWaitOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseWaitOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "WaitOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeatureRegistryServiceRestTransport._WaitOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_wait_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "WaitOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def kind(self) -> str: + return "rest" + + def close(self): + self._session.close() + + +__all__ = ("FeatureRegistryServiceRestTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/transports/rest_asyncio.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/transports/rest_asyncio.py new file mode 100644 index 0000000000000000000000000000000000000000..b029900a45f6709aba8f7125b46e0f542a29ce92 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/transports/rest_asyncio.py @@ -0,0 +1,6491 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +import google.auth + +try: + import aiohttp # type: ignore + from google.auth.aio.transport.sessions import AsyncAuthorizedSession # type: ignore + from google.api_core import rest_streaming_async # type: ignore + from google.api_core.operations_v1 import AsyncOperationsRestClient # type: ignore +except ImportError as e: # pragma: NO COVER + raise ImportError( + "`rest_asyncio` transport requires the library to be installed with the `async_rest` extra. Install the library with the `async_rest` extra using `pip install google-cloud-aiplatform[async_rest]`" + ) from e + +from google.auth.aio import credentials as ga_credentials_async # type: ignore + +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import operations_v1 +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore +from google.api_core import retry_async as retries +from google.api_core import rest_helpers +from google.api_core import rest_streaming_async # type: ignore +import google.protobuf + +from google.protobuf import json_format +from google.api_core import operations_v1 +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore + +import json # type: ignore +import dataclasses +from typing import Any, Dict, List, Callable, Tuple, Optional, Sequence, Union + + +from google.cloud.aiplatform_v1.types import feature +from google.cloud.aiplatform_v1.types import feature_group +from google.cloud.aiplatform_v1.types import feature_registry_service +from google.cloud.aiplatform_v1.types import featurestore_service +from google.longrunning import operations_pb2 # type: ignore + + +from .rest_base import _BaseFeatureRegistryServiceRestTransport + +from .base import DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO + + +import logging + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = logging.getLogger(__name__) + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version, + grpc_version=None, + rest_version=f"google-auth@{google.auth.__version__}", +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +class AsyncFeatureRegistryServiceRestInterceptor: + """Asynchronous Interceptor for FeatureRegistryService. + + Interceptors are used to manipulate requests, request metadata, and responses + in arbitrary ways. + Example use cases include: + * Logging + * Verifying requests according to service or custom semantics + * Stripping extraneous information from responses + + These use cases and more can be enabled by injecting an + instance of a custom subclass when constructing the AsyncFeatureRegistryServiceRestTransport. + + .. code-block:: python + class MyCustomFeatureRegistryServiceInterceptor(FeatureRegistryServiceRestInterceptor): + async def pre_batch_create_features(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_batch_create_features(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_create_feature(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_create_feature(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_create_feature_group(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_create_feature_group(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_delete_feature(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_delete_feature(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_delete_feature_group(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_delete_feature_group(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_get_feature(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_get_feature(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_get_feature_group(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_get_feature_group(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_list_feature_groups(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_list_feature_groups(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_list_features(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_list_features(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_update_feature(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_update_feature(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_update_feature_group(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_update_feature_group(self, response): + logging.log(f"Received response: {response}") + return response + + transport = AsyncFeatureRegistryServiceRestTransport(interceptor=MyCustomFeatureRegistryServiceInterceptor()) + client = async FeatureRegistryServiceClient(transport=transport) + + + """ + + async def pre_batch_create_features( + self, + request: featurestore_service.BatchCreateFeaturesRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + featurestore_service.BatchCreateFeaturesRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for batch_create_features + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + async def post_batch_create_features( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for batch_create_features + + DEPRECATED. Please use the `post_batch_create_features_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. This `post_batch_create_features` interceptor runs + before the `post_batch_create_features_with_metadata` interceptor. + """ + return response + + async def post_batch_create_features_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for batch_create_features + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureRegistryService server but before it is returned to user code. + + We recommend only using this `post_batch_create_features_with_metadata` + interceptor in new development instead of the `post_batch_create_features` interceptor. + When both interceptors are used, this `post_batch_create_features_with_metadata` interceptor runs after the + `post_batch_create_features` interceptor. The (possibly modified) response returned by + `post_batch_create_features` will be passed to + `post_batch_create_features_with_metadata`. + """ + return response, metadata + + async def pre_create_feature( + self, + request: featurestore_service.CreateFeatureRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + featurestore_service.CreateFeatureRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for create_feature + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + async def post_create_feature( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for create_feature + + DEPRECATED. Please use the `post_create_feature_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. This `post_create_feature` interceptor runs + before the `post_create_feature_with_metadata` interceptor. + """ + return response + + async def post_create_feature_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for create_feature + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureRegistryService server but before it is returned to user code. + + We recommend only using this `post_create_feature_with_metadata` + interceptor in new development instead of the `post_create_feature` interceptor. + When both interceptors are used, this `post_create_feature_with_metadata` interceptor runs after the + `post_create_feature` interceptor. The (possibly modified) response returned by + `post_create_feature` will be passed to + `post_create_feature_with_metadata`. + """ + return response, metadata + + async def pre_create_feature_group( + self, + request: feature_registry_service.CreateFeatureGroupRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_registry_service.CreateFeatureGroupRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for create_feature_group + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + async def post_create_feature_group( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for create_feature_group + + DEPRECATED. Please use the `post_create_feature_group_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. This `post_create_feature_group` interceptor runs + before the `post_create_feature_group_with_metadata` interceptor. + """ + return response + + async def post_create_feature_group_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for create_feature_group + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureRegistryService server but before it is returned to user code. + + We recommend only using this `post_create_feature_group_with_metadata` + interceptor in new development instead of the `post_create_feature_group` interceptor. + When both interceptors are used, this `post_create_feature_group_with_metadata` interceptor runs after the + `post_create_feature_group` interceptor. The (possibly modified) response returned by + `post_create_feature_group` will be passed to + `post_create_feature_group_with_metadata`. + """ + return response, metadata + + async def pre_delete_feature( + self, + request: featurestore_service.DeleteFeatureRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + featurestore_service.DeleteFeatureRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for delete_feature + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + async def post_delete_feature( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for delete_feature + + DEPRECATED. Please use the `post_delete_feature_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. This `post_delete_feature` interceptor runs + before the `post_delete_feature_with_metadata` interceptor. + """ + return response + + async def post_delete_feature_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for delete_feature + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureRegistryService server but before it is returned to user code. + + We recommend only using this `post_delete_feature_with_metadata` + interceptor in new development instead of the `post_delete_feature` interceptor. + When both interceptors are used, this `post_delete_feature_with_metadata` interceptor runs after the + `post_delete_feature` interceptor. The (possibly modified) response returned by + `post_delete_feature` will be passed to + `post_delete_feature_with_metadata`. + """ + return response, metadata + + async def pre_delete_feature_group( + self, + request: feature_registry_service.DeleteFeatureGroupRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_registry_service.DeleteFeatureGroupRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for delete_feature_group + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + async def post_delete_feature_group( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for delete_feature_group + + DEPRECATED. Please use the `post_delete_feature_group_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. This `post_delete_feature_group` interceptor runs + before the `post_delete_feature_group_with_metadata` interceptor. + """ + return response + + async def post_delete_feature_group_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for delete_feature_group + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureRegistryService server but before it is returned to user code. + + We recommend only using this `post_delete_feature_group_with_metadata` + interceptor in new development instead of the `post_delete_feature_group` interceptor. + When both interceptors are used, this `post_delete_feature_group_with_metadata` interceptor runs after the + `post_delete_feature_group` interceptor. The (possibly modified) response returned by + `post_delete_feature_group` will be passed to + `post_delete_feature_group_with_metadata`. + """ + return response, metadata + + async def pre_get_feature( + self, + request: featurestore_service.GetFeatureRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + featurestore_service.GetFeatureRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_feature + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + async def post_get_feature(self, response: feature.Feature) -> feature.Feature: + """Post-rpc interceptor for get_feature + + DEPRECATED. Please use the `post_get_feature_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. This `post_get_feature` interceptor runs + before the `post_get_feature_with_metadata` interceptor. + """ + return response + + async def post_get_feature_with_metadata( + self, + response: feature.Feature, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[feature.Feature, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for get_feature + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureRegistryService server but before it is returned to user code. + + We recommend only using this `post_get_feature_with_metadata` + interceptor in new development instead of the `post_get_feature` interceptor. + When both interceptors are used, this `post_get_feature_with_metadata` interceptor runs after the + `post_get_feature` interceptor. The (possibly modified) response returned by + `post_get_feature` will be passed to + `post_get_feature_with_metadata`. + """ + return response, metadata + + async def pre_get_feature_group( + self, + request: feature_registry_service.GetFeatureGroupRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_registry_service.GetFeatureGroupRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for get_feature_group + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + async def post_get_feature_group( + self, response: feature_group.FeatureGroup + ) -> feature_group.FeatureGroup: + """Post-rpc interceptor for get_feature_group + + DEPRECATED. Please use the `post_get_feature_group_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. This `post_get_feature_group` interceptor runs + before the `post_get_feature_group_with_metadata` interceptor. + """ + return response + + async def post_get_feature_group_with_metadata( + self, + response: feature_group.FeatureGroup, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[feature_group.FeatureGroup, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for get_feature_group + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureRegistryService server but before it is returned to user code. + + We recommend only using this `post_get_feature_group_with_metadata` + interceptor in new development instead of the `post_get_feature_group` interceptor. + When both interceptors are used, this `post_get_feature_group_with_metadata` interceptor runs after the + `post_get_feature_group` interceptor. The (possibly modified) response returned by + `post_get_feature_group` will be passed to + `post_get_feature_group_with_metadata`. + """ + return response, metadata + + async def pre_list_feature_groups( + self, + request: feature_registry_service.ListFeatureGroupsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_registry_service.ListFeatureGroupsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for list_feature_groups + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + async def post_list_feature_groups( + self, response: feature_registry_service.ListFeatureGroupsResponse + ) -> feature_registry_service.ListFeatureGroupsResponse: + """Post-rpc interceptor for list_feature_groups + + DEPRECATED. Please use the `post_list_feature_groups_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. This `post_list_feature_groups` interceptor runs + before the `post_list_feature_groups_with_metadata` interceptor. + """ + return response + + async def post_list_feature_groups_with_metadata( + self, + response: feature_registry_service.ListFeatureGroupsResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_registry_service.ListFeatureGroupsResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for list_feature_groups + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureRegistryService server but before it is returned to user code. + + We recommend only using this `post_list_feature_groups_with_metadata` + interceptor in new development instead of the `post_list_feature_groups` interceptor. + When both interceptors are used, this `post_list_feature_groups_with_metadata` interceptor runs after the + `post_list_feature_groups` interceptor. The (possibly modified) response returned by + `post_list_feature_groups` will be passed to + `post_list_feature_groups_with_metadata`. + """ + return response, metadata + + async def pre_list_features( + self, + request: featurestore_service.ListFeaturesRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + featurestore_service.ListFeaturesRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for list_features + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + async def post_list_features( + self, response: featurestore_service.ListFeaturesResponse + ) -> featurestore_service.ListFeaturesResponse: + """Post-rpc interceptor for list_features + + DEPRECATED. Please use the `post_list_features_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. This `post_list_features` interceptor runs + before the `post_list_features_with_metadata` interceptor. + """ + return response + + async def post_list_features_with_metadata( + self, + response: featurestore_service.ListFeaturesResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + featurestore_service.ListFeaturesResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for list_features + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureRegistryService server but before it is returned to user code. + + We recommend only using this `post_list_features_with_metadata` + interceptor in new development instead of the `post_list_features` interceptor. + When both interceptors are used, this `post_list_features_with_metadata` interceptor runs after the + `post_list_features` interceptor. The (possibly modified) response returned by + `post_list_features` will be passed to + `post_list_features_with_metadata`. + """ + return response, metadata + + async def pre_update_feature( + self, + request: featurestore_service.UpdateFeatureRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + featurestore_service.UpdateFeatureRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for update_feature + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + async def post_update_feature( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for update_feature + + DEPRECATED. Please use the `post_update_feature_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. This `post_update_feature` interceptor runs + before the `post_update_feature_with_metadata` interceptor. + """ + return response + + async def post_update_feature_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for update_feature + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureRegistryService server but before it is returned to user code. + + We recommend only using this `post_update_feature_with_metadata` + interceptor in new development instead of the `post_update_feature` interceptor. + When both interceptors are used, this `post_update_feature_with_metadata` interceptor runs after the + `post_update_feature` interceptor. The (possibly modified) response returned by + `post_update_feature` will be passed to + `post_update_feature_with_metadata`. + """ + return response, metadata + + async def pre_update_feature_group( + self, + request: feature_registry_service.UpdateFeatureGroupRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + feature_registry_service.UpdateFeatureGroupRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for update_feature_group + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + async def post_update_feature_group( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for update_feature_group + + DEPRECATED. Please use the `post_update_feature_group_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. This `post_update_feature_group` interceptor runs + before the `post_update_feature_group_with_metadata` interceptor. + """ + return response + + async def post_update_feature_group_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for update_feature_group + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeatureRegistryService server but before it is returned to user code. + + We recommend only using this `post_update_feature_group_with_metadata` + interceptor in new development instead of the `post_update_feature_group` interceptor. + When both interceptors are used, this `post_update_feature_group_with_metadata` interceptor runs after the + `post_update_feature_group` interceptor. The (possibly modified) response returned by + `post_update_feature_group` will be passed to + `post_update_feature_group_with_metadata`. + """ + return response, metadata + + async def pre_get_location( + self, + request: locations_pb2.GetLocationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.GetLocationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_location + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + async def post_get_location( + self, response: locations_pb2.Location + ) -> locations_pb2.Location: + """Post-rpc interceptor for get_location + + Override in a subclass to manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. + """ + return response + + async def pre_list_locations( + self, + request: locations_pb2.ListLocationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.ListLocationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_locations + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + async def post_list_locations( + self, response: locations_pb2.ListLocationsResponse + ) -> locations_pb2.ListLocationsResponse: + """Post-rpc interceptor for list_locations + + Override in a subclass to manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. + """ + return response + + async def pre_get_iam_policy( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.GetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + async def post_get_iam_policy( + self, response: policy_pb2.Policy + ) -> policy_pb2.Policy: + """Post-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. + """ + return response + + async def pre_set_iam_policy( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.SetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + async def post_set_iam_policy( + self, response: policy_pb2.Policy + ) -> policy_pb2.Policy: + """Post-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. + """ + return response + + async def pre_test_iam_permissions( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.TestIamPermissionsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + async def post_test_iam_permissions( + self, response: iam_policy_pb2.TestIamPermissionsResponse + ) -> iam_policy_pb2.TestIamPermissionsResponse: + """Post-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. + """ + return response + + async def pre_cancel_operation( + self, + request: operations_pb2.CancelOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.CancelOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + async def post_cancel_operation(self, response: None) -> None: + """Post-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. + """ + return response + + async def pre_delete_operation( + self, + request: operations_pb2.DeleteOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.DeleteOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for delete_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + async def post_delete_operation(self, response: None) -> None: + """Post-rpc interceptor for delete_operation + + Override in a subclass to manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. + """ + return response + + async def pre_get_operation( + self, + request: operations_pb2.GetOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.GetOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + async def post_get_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for get_operation + + Override in a subclass to manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. + """ + return response + + async def pre_list_operations( + self, + request: operations_pb2.ListOperationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.ListOperationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_operations + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + async def post_list_operations( + self, response: operations_pb2.ListOperationsResponse + ) -> operations_pb2.ListOperationsResponse: + """Post-rpc interceptor for list_operations + + Override in a subclass to manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. + """ + return response + + async def pre_wait_operation( + self, + request: operations_pb2.WaitOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.WaitOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for wait_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeatureRegistryService server. + """ + return request, metadata + + async def post_wait_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for wait_operation + + Override in a subclass to manipulate the response + after it is returned by the FeatureRegistryService server but before + it is returned to user code. + """ + return response + + +@dataclasses.dataclass +class AsyncFeatureRegistryServiceRestStub: + _session: AsyncAuthorizedSession + _host: str + _interceptor: AsyncFeatureRegistryServiceRestInterceptor + + +class AsyncFeatureRegistryServiceRestTransport( + _BaseFeatureRegistryServiceRestTransport +): + """Asynchronous REST backend transport for FeatureRegistryService. + + The service that handles CRUD and List for resources for + FeatureRegistry. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + """ + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials_async.Credentials] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + url_scheme: str = "https", + interceptor: Optional[AsyncFeatureRegistryServiceRestInterceptor] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.aio.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + url_scheme (str): the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=False, + url_scheme=url_scheme, + api_audience=None, + ) + self._session = AsyncAuthorizedSession(self._credentials) # type: ignore + self._interceptor = interceptor or AsyncFeatureRegistryServiceRestInterceptor() + self._wrap_with_kind = True + self._prep_wrapped_messages(client_info) + self._operations_client: Optional[operations_v1.AsyncOperationsRestClient] = ( + None + ) + + def _prep_wrapped_messages(self, client_info): + """Precompute the wrapped methods, overriding the base class method to use async wrappers.""" + self._wrapped_methods = { + self.create_feature_group: self._wrap_method( + self.create_feature_group, + default_timeout=None, + client_info=client_info, + ), + self.get_feature_group: self._wrap_method( + self.get_feature_group, + default_timeout=None, + client_info=client_info, + ), + self.list_feature_groups: self._wrap_method( + self.list_feature_groups, + default_timeout=None, + client_info=client_info, + ), + self.update_feature_group: self._wrap_method( + self.update_feature_group, + default_timeout=None, + client_info=client_info, + ), + self.delete_feature_group: self._wrap_method( + self.delete_feature_group, + default_timeout=None, + client_info=client_info, + ), + self.create_feature: self._wrap_method( + self.create_feature, + default_timeout=None, + client_info=client_info, + ), + self.batch_create_features: self._wrap_method( + self.batch_create_features, + default_timeout=None, + client_info=client_info, + ), + self.get_feature: self._wrap_method( + self.get_feature, + default_timeout=None, + client_info=client_info, + ), + self.list_features: self._wrap_method( + self.list_features, + default_timeout=None, + client_info=client_info, + ), + self.update_feature: self._wrap_method( + self.update_feature, + default_timeout=None, + client_info=client_info, + ), + self.delete_feature: self._wrap_method( + self.delete_feature, + default_timeout=None, + client_info=client_info, + ), + self.get_location: self._wrap_method( + self.get_location, + default_timeout=None, + client_info=client_info, + ), + self.list_locations: self._wrap_method( + self.list_locations, + default_timeout=None, + client_info=client_info, + ), + self.get_iam_policy: self._wrap_method( + self.get_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.set_iam_policy: self._wrap_method( + self.set_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.test_iam_permissions: self._wrap_method( + self.test_iam_permissions, + default_timeout=None, + client_info=client_info, + ), + self.cancel_operation: self._wrap_method( + self.cancel_operation, + default_timeout=None, + client_info=client_info, + ), + self.delete_operation: self._wrap_method( + self.delete_operation, + default_timeout=None, + client_info=client_info, + ), + self.get_operation: self._wrap_method( + self.get_operation, + default_timeout=None, + client_info=client_info, + ), + self.list_operations: self._wrap_method( + self.list_operations, + default_timeout=None, + client_info=client_info, + ), + self.wait_operation: self._wrap_method( + self.wait_operation, + default_timeout=None, + client_info=client_info, + ), + } + + def _wrap_method(self, func, *args, **kwargs): + if self._wrap_with_kind: # pragma: NO COVER + kwargs["kind"] = self.kind + return gapic_v1.method_async.wrap_method(func, *args, **kwargs) + + class _BatchCreateFeatures( + _BaseFeatureRegistryServiceRestTransport._BaseBatchCreateFeatures, + AsyncFeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("AsyncFeatureRegistryServiceRestTransport.BatchCreateFeatures") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: featurestore_service.BatchCreateFeaturesRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the batch create features method over HTTP. + + Args: + request (~.featurestore_service.BatchCreateFeaturesRequest): + The request object. Request message for + [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures]. + Request message for + [FeatureRegistryService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeatureRegistryService.BatchCreateFeatures]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseBatchCreateFeatures._get_http_options() + ) + + request, metadata = await self._interceptor.pre_batch_create_features( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseBatchCreateFeatures._get_transcoded_request( + http_options, request + ) + + body = _BaseFeatureRegistryServiceRestTransport._BaseBatchCreateFeatures._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseBatchCreateFeatures._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.BatchCreateFeatures", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "BatchCreateFeatures", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureRegistryServiceRestTransport._BatchCreateFeatures._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = operations_pb2.Operation() + pb_resp = resp + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_batch_create_features(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_batch_create_features_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient.batch_create_features", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "BatchCreateFeatures", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _CreateFeature( + _BaseFeatureRegistryServiceRestTransport._BaseCreateFeature, + AsyncFeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("AsyncFeatureRegistryServiceRestTransport.CreateFeature") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: featurestore_service.CreateFeatureRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the create feature method over HTTP. + + Args: + request (~.featurestore_service.CreateFeatureRequest): + The request object. Request message for + [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeature]. + Request message for + [FeatureRegistryService.CreateFeature][google.cloud.aiplatform.v1.FeatureRegistryService.CreateFeature]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseCreateFeature._get_http_options() + ) + + request, metadata = await self._interceptor.pre_create_feature( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseCreateFeature._get_transcoded_request( + http_options, request + ) + + body = _BaseFeatureRegistryServiceRestTransport._BaseCreateFeature._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseCreateFeature._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.CreateFeature", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "CreateFeature", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureRegistryServiceRestTransport._CreateFeature._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = operations_pb2.Operation() + pb_resp = resp + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_create_feature(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_create_feature_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient.create_feature", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "CreateFeature", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _CreateFeatureGroup( + _BaseFeatureRegistryServiceRestTransport._BaseCreateFeatureGroup, + AsyncFeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("AsyncFeatureRegistryServiceRestTransport.CreateFeatureGroup") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: feature_registry_service.CreateFeatureGroupRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the create feature group method over HTTP. + + Args: + request (~.feature_registry_service.CreateFeatureGroupRequest): + The request object. Request message for + [FeatureRegistryService.CreateFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.CreateFeatureGroup]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseCreateFeatureGroup._get_http_options() + ) + + request, metadata = await self._interceptor.pre_create_feature_group( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseCreateFeatureGroup._get_transcoded_request( + http_options, request + ) + + body = _BaseFeatureRegistryServiceRestTransport._BaseCreateFeatureGroup._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseCreateFeatureGroup._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.CreateFeatureGroup", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "CreateFeatureGroup", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureRegistryServiceRestTransport._CreateFeatureGroup._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = operations_pb2.Operation() + pb_resp = resp + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_create_feature_group(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_create_feature_group_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient.create_feature_group", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "CreateFeatureGroup", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _DeleteFeature( + _BaseFeatureRegistryServiceRestTransport._BaseDeleteFeature, + AsyncFeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("AsyncFeatureRegistryServiceRestTransport.DeleteFeature") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: featurestore_service.DeleteFeatureRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the delete feature method over HTTP. + + Args: + request (~.featurestore_service.DeleteFeatureRequest): + The request object. Request message for + [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeature]. + Request message for + [FeatureRegistryService.DeleteFeature][google.cloud.aiplatform.v1.FeatureRegistryService.DeleteFeature]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseDeleteFeature._get_http_options() + ) + + request, metadata = await self._interceptor.pre_delete_feature( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseDeleteFeature._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseDeleteFeature._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.DeleteFeature", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "DeleteFeature", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureRegistryServiceRestTransport._DeleteFeature._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = operations_pb2.Operation() + pb_resp = resp + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_delete_feature(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_delete_feature_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient.delete_feature", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "DeleteFeature", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _DeleteFeatureGroup( + _BaseFeatureRegistryServiceRestTransport._BaseDeleteFeatureGroup, + AsyncFeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("AsyncFeatureRegistryServiceRestTransport.DeleteFeatureGroup") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: feature_registry_service.DeleteFeatureGroupRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the delete feature group method over HTTP. + + Args: + request (~.feature_registry_service.DeleteFeatureGroupRequest): + The request object. Request message for + [FeatureRegistryService.DeleteFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.DeleteFeatureGroup]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseDeleteFeatureGroup._get_http_options() + ) + + request, metadata = await self._interceptor.pre_delete_feature_group( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseDeleteFeatureGroup._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseDeleteFeatureGroup._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.DeleteFeatureGroup", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "DeleteFeatureGroup", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureRegistryServiceRestTransport._DeleteFeatureGroup._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = operations_pb2.Operation() + pb_resp = resp + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_delete_feature_group(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_delete_feature_group_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient.delete_feature_group", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "DeleteFeatureGroup", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _GetFeature( + _BaseFeatureRegistryServiceRestTransport._BaseGetFeature, + AsyncFeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("AsyncFeatureRegistryServiceRestTransport.GetFeature") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: featurestore_service.GetFeatureRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature.Feature: + r"""Call the get feature method over HTTP. + + Args: + request (~.featurestore_service.GetFeatureRequest): + The request object. Request message for + [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1.FeaturestoreService.GetFeature]. + Request message for + [FeatureRegistryService.GetFeature][google.cloud.aiplatform.v1.FeatureRegistryService.GetFeature]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.feature.Feature: + Feature Metadata information. + For example, color is a feature that + describes an apple. + + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseGetFeature._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_feature( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseGetFeature._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseGetFeature._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.GetFeature", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "GetFeature", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureRegistryServiceRestTransport._GetFeature._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = feature.Feature() + pb_resp = feature.Feature.pb(resp) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_get_feature(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_get_feature_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = feature.Feature.to_json(response) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient.get_feature", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "GetFeature", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _GetFeatureGroup( + _BaseFeatureRegistryServiceRestTransport._BaseGetFeatureGroup, + AsyncFeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("AsyncFeatureRegistryServiceRestTransport.GetFeatureGroup") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: feature_registry_service.GetFeatureGroupRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_group.FeatureGroup: + r"""Call the get feature group method over HTTP. + + Args: + request (~.feature_registry_service.GetFeatureGroupRequest): + The request object. Request message for + [FeatureRegistryService.GetFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.GetFeatureGroup]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.feature_group.FeatureGroup: + Vertex AI Feature Group. + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseGetFeatureGroup._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_feature_group( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseGetFeatureGroup._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseGetFeatureGroup._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.GetFeatureGroup", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "GetFeatureGroup", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureRegistryServiceRestTransport._GetFeatureGroup._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = feature_group.FeatureGroup() + pb_resp = feature_group.FeatureGroup.pb(resp) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_get_feature_group(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_get_feature_group_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = feature_group.FeatureGroup.to_json(response) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient.get_feature_group", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "GetFeatureGroup", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _ListFeatureGroups( + _BaseFeatureRegistryServiceRestTransport._BaseListFeatureGroups, + AsyncFeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("AsyncFeatureRegistryServiceRestTransport.ListFeatureGroups") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: feature_registry_service.ListFeatureGroupsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature_registry_service.ListFeatureGroupsResponse: + r"""Call the list feature groups method over HTTP. + + Args: + request (~.feature_registry_service.ListFeatureGroupsRequest): + The request object. Request message for + [FeatureRegistryService.ListFeatureGroups][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatureGroups]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.feature_registry_service.ListFeatureGroupsResponse: + Response message for + [FeatureRegistryService.ListFeatureGroups][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatureGroups]. + + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseListFeatureGroups._get_http_options() + ) + + request, metadata = await self._interceptor.pre_list_feature_groups( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseListFeatureGroups._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseListFeatureGroups._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.ListFeatureGroups", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "ListFeatureGroups", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureRegistryServiceRestTransport._ListFeatureGroups._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = feature_registry_service.ListFeatureGroupsResponse() + pb_resp = feature_registry_service.ListFeatureGroupsResponse.pb(resp) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_list_feature_groups(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_list_feature_groups_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = ( + feature_registry_service.ListFeatureGroupsResponse.to_json( + response + ) + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient.list_feature_groups", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "ListFeatureGroups", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _ListFeatures( + _BaseFeatureRegistryServiceRestTransport._BaseListFeatures, + AsyncFeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("AsyncFeatureRegistryServiceRestTransport.ListFeatures") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: featurestore_service.ListFeaturesRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> featurestore_service.ListFeaturesResponse: + r"""Call the list features method over HTTP. + + Args: + request (~.featurestore_service.ListFeaturesRequest): + The request object. Request message for + [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]. + Request message for + [FeatureRegistryService.ListFeatures][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatures]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.featurestore_service.ListFeaturesResponse: + Response message for + [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]. + Response message for + [FeatureRegistryService.ListFeatures][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatures]. + + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseListFeatures._get_http_options() + ) + + request, metadata = await self._interceptor.pre_list_features( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseListFeatures._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseListFeatures._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.ListFeatures", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "ListFeatures", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureRegistryServiceRestTransport._ListFeatures._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = featurestore_service.ListFeaturesResponse() + pb_resp = featurestore_service.ListFeaturesResponse.pb(resp) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_list_features(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_list_features_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = ( + featurestore_service.ListFeaturesResponse.to_json(response) + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient.list_features", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "ListFeatures", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _UpdateFeature( + _BaseFeatureRegistryServiceRestTransport._BaseUpdateFeature, + AsyncFeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("AsyncFeatureRegistryServiceRestTransport.UpdateFeature") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: featurestore_service.UpdateFeatureRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the update feature method over HTTP. + + Args: + request (~.featurestore_service.UpdateFeatureRequest): + The request object. Request message for + [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeature]. + Request message for + [FeatureRegistryService.UpdateFeature][google.cloud.aiplatform.v1.FeatureRegistryService.UpdateFeature]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseUpdateFeature._get_http_options() + ) + + request, metadata = await self._interceptor.pre_update_feature( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseUpdateFeature._get_transcoded_request( + http_options, request + ) + + body = _BaseFeatureRegistryServiceRestTransport._BaseUpdateFeature._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseUpdateFeature._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.UpdateFeature", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "UpdateFeature", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureRegistryServiceRestTransport._UpdateFeature._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = operations_pb2.Operation() + pb_resp = resp + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_update_feature(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_update_feature_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient.update_feature", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "UpdateFeature", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _UpdateFeatureGroup( + _BaseFeatureRegistryServiceRestTransport._BaseUpdateFeatureGroup, + AsyncFeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("AsyncFeatureRegistryServiceRestTransport.UpdateFeatureGroup") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: feature_registry_service.UpdateFeatureGroupRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the update feature group method over HTTP. + + Args: + request (~.feature_registry_service.UpdateFeatureGroupRequest): + The request object. Request message for + [FeatureRegistryService.UpdateFeatureGroup][google.cloud.aiplatform.v1.FeatureRegistryService.UpdateFeatureGroup]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseUpdateFeatureGroup._get_http_options() + ) + + request, metadata = await self._interceptor.pre_update_feature_group( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseUpdateFeatureGroup._get_transcoded_request( + http_options, request + ) + + body = _BaseFeatureRegistryServiceRestTransport._BaseUpdateFeatureGroup._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseUpdateFeatureGroup._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.UpdateFeatureGroup", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "UpdateFeatureGroup", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureRegistryServiceRestTransport._UpdateFeatureGroup._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = operations_pb2.Operation() + pb_resp = resp + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_update_feature_group(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_update_feature_group_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient.update_feature_group", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "UpdateFeatureGroup", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + @property + def operations_client(self) -> AsyncOperationsRestClient: + """Create the async client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Only create a new client if we do not already have one. + if self._operations_client is None: + http_options: Dict[str, List[Dict[str, str]]] = { + "google.longrunning.Operations.CancelOperation": [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + ], + "google.longrunning.Operations.DeleteOperation": [ + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensions/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": 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"/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/schedules/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/schedules/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=reasoningEngines/*/sessions/*}/operations", + }, + ], + "google.longrunning.Operations.WaitOperation": [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:wait", + }, + ], + } + + rest_transport = operations_v1.AsyncOperationsRestTransport( # type: ignore + host=self._host, + # use the credentials which are saved + credentials=self._credentials, # type: ignore + http_options=http_options, + path_prefix="v1", + ) + + self._operations_client = AsyncOperationsRestClient( + transport=rest_transport + ) + + # Return the client from cache. + return self._operations_client + + @property + def batch_create_features( + self, + ) -> Callable[ + [featurestore_service.BatchCreateFeaturesRequest], operations_pb2.Operation + ]: + return self._BatchCreateFeatures(self._session, self._host, self._interceptor) # type: ignore + + @property + def create_feature( + self, + ) -> Callable[ + [featurestore_service.CreateFeatureRequest], operations_pb2.Operation + ]: + return self._CreateFeature(self._session, self._host, self._interceptor) # type: ignore + + @property + def create_feature_group( + self, + ) -> Callable[ + [feature_registry_service.CreateFeatureGroupRequest], operations_pb2.Operation + ]: + return self._CreateFeatureGroup(self._session, self._host, self._interceptor) # type: ignore + + @property + def delete_feature( + self, + ) -> Callable[ + [featurestore_service.DeleteFeatureRequest], operations_pb2.Operation + ]: + return self._DeleteFeature(self._session, self._host, self._interceptor) # type: ignore + + @property + def delete_feature_group( + self, + ) -> Callable[ + [feature_registry_service.DeleteFeatureGroupRequest], operations_pb2.Operation + ]: + return self._DeleteFeatureGroup(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_feature( + self, + ) -> Callable[[featurestore_service.GetFeatureRequest], feature.Feature]: + return self._GetFeature(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_feature_group( + self, + ) -> Callable[ + [feature_registry_service.GetFeatureGroupRequest], feature_group.FeatureGroup + ]: + return self._GetFeatureGroup(self._session, self._host, self._interceptor) # type: ignore + + @property + def list_feature_groups( + self, + ) -> Callable[ + [feature_registry_service.ListFeatureGroupsRequest], + feature_registry_service.ListFeatureGroupsResponse, + ]: + return self._ListFeatureGroups(self._session, self._host, self._interceptor) # type: ignore + + @property + def list_features( + self, + ) -> Callable[ + [featurestore_service.ListFeaturesRequest], + featurestore_service.ListFeaturesResponse, + ]: + return self._ListFeatures(self._session, self._host, self._interceptor) # type: ignore + + @property + def update_feature( + self, + ) -> Callable[ + [featurestore_service.UpdateFeatureRequest], operations_pb2.Operation + ]: + return self._UpdateFeature(self._session, self._host, self._interceptor) # type: ignore + + @property + def update_feature_group( + self, + ) -> Callable[ + [feature_registry_service.UpdateFeatureGroupRequest], operations_pb2.Operation + ]: + return self._UpdateFeatureGroup(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_location(self): + return self._GetLocation(self._session, self._host, self._interceptor) # type: ignore + + class _GetLocation( + _BaseFeatureRegistryServiceRestTransport._BaseGetLocation, + AsyncFeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("AsyncFeatureRegistryServiceRestTransport.GetLocation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: locations_pb2.GetLocationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Call the get location method over HTTP. + + Args: + request (locations_pb2.GetLocationRequest): + The request object for GetLocation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.Location: Response from GetLocation method. + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseGetLocation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_location( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseGetLocation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseGetLocation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "GetLocation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureRegistryServiceRestTransport._GetLocation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = locations_pb2.Location() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_get_location(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "GetLocation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_locations(self): + return self._ListLocations(self._session, self._host, self._interceptor) # type: ignore + + class _ListLocations( + _BaseFeatureRegistryServiceRestTransport._BaseListLocations, + AsyncFeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("AsyncFeatureRegistryServiceRestTransport.ListLocations") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: locations_pb2.ListLocationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Call the list locations method over HTTP. + + Args: + request (locations_pb2.ListLocationsRequest): + The request object for ListLocations method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.ListLocationsResponse: Response from ListLocations method. + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseListLocations._get_http_options() + ) + + request, metadata = await self._interceptor.pre_list_locations( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseListLocations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseListLocations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "ListLocations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureRegistryServiceRestTransport._ListLocations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = locations_pb2.ListLocationsResponse() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_list_locations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "ListLocations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def get_iam_policy(self): + return self._GetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _GetIamPolicy( + _BaseFeatureRegistryServiceRestTransport._BaseGetIamPolicy, + AsyncFeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("AsyncFeatureRegistryServiceRestTransport.GetIamPolicy") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the get iam policy method over HTTP. + + Args: + request (iam_policy_pb2.GetIamPolicyRequest): + The request object for GetIamPolicy method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from GetIamPolicy method. + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseGetIamPolicy._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_iam_policy( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseGetIamPolicy._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseGetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "GetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureRegistryServiceRestTransport._GetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_get_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "GetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def set_iam_policy(self): + return self._SetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _SetIamPolicy( + _BaseFeatureRegistryServiceRestTransport._BaseSetIamPolicy, + AsyncFeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("AsyncFeatureRegistryServiceRestTransport.SetIamPolicy") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the set iam policy method over HTTP. + + Args: + request (iam_policy_pb2.SetIamPolicyRequest): + The request object for SetIamPolicy method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from SetIamPolicy method. + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseSetIamPolicy._get_http_options() + ) + + request, metadata = await self._interceptor.pre_set_iam_policy( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseSetIamPolicy._get_transcoded_request( + http_options, request + ) + + body = _BaseFeatureRegistryServiceRestTransport._BaseSetIamPolicy._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseSetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "SetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureRegistryServiceRestTransport._SetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_set_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "SetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def test_iam_permissions(self): + return self._TestIamPermissions(self._session, self._host, self._interceptor) # type: ignore + + class _TestIamPermissions( + _BaseFeatureRegistryServiceRestTransport._BaseTestIamPermissions, + AsyncFeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("AsyncFeatureRegistryServiceRestTransport.TestIamPermissions") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Call the test iam permissions method over HTTP. + + Args: + request (iam_policy_pb2.TestIamPermissionsRequest): + The request object for TestIamPermissions method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + iam_policy_pb2.TestIamPermissionsResponse: Response from TestIamPermissions method. + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseTestIamPermissions._get_http_options() + ) + + request, metadata = await self._interceptor.pre_test_iam_permissions( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseTestIamPermissions._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseTestIamPermissions._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "TestIamPermissions", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureRegistryServiceRestTransport._TestIamPermissions._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = iam_policy_pb2.TestIamPermissionsResponse() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_test_iam_permissions(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "TestIamPermissions", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def cancel_operation(self): + return self._CancelOperation(self._session, self._host, self._interceptor) # type: ignore + + class _CancelOperation( + _BaseFeatureRegistryServiceRestTransport._BaseCancelOperation, + AsyncFeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("AsyncFeatureRegistryServiceRestTransport.CancelOperation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.CancelOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the cancel operation method over HTTP. + + Args: + request (operations_pb2.CancelOperationRequest): + The request object for CancelOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseCancelOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_cancel_operation( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseCancelOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseCancelOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.CancelOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "CancelOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureRegistryServiceRestTransport._CancelOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + return await self._interceptor.post_cancel_operation(None) + + @property + def delete_operation(self): + return self._DeleteOperation(self._session, self._host, self._interceptor) # type: ignore + + class _DeleteOperation( + _BaseFeatureRegistryServiceRestTransport._BaseDeleteOperation, + AsyncFeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("AsyncFeatureRegistryServiceRestTransport.DeleteOperation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.DeleteOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the delete operation method over HTTP. + + Args: + request (operations_pb2.DeleteOperationRequest): + The request object for DeleteOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseDeleteOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_delete_operation( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseDeleteOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseDeleteOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.DeleteOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "DeleteOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureRegistryServiceRestTransport._DeleteOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + return await self._interceptor.post_delete_operation(None) + + @property + def get_operation(self): + return self._GetOperation(self._session, self._host, self._interceptor) # type: ignore + + class _GetOperation( + _BaseFeatureRegistryServiceRestTransport._BaseGetOperation, + AsyncFeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("AsyncFeatureRegistryServiceRestTransport.GetOperation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.GetOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the get operation method over HTTP. + + Args: + request (operations_pb2.GetOperationRequest): + The request object for GetOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from GetOperation method. + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseGetOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_operation( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseGetOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseGetOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "GetOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureRegistryServiceRestTransport._GetOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_get_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "GetOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_operations(self): + return self._ListOperations(self._session, self._host, self._interceptor) # type: ignore + + class _ListOperations( + _BaseFeatureRegistryServiceRestTransport._BaseListOperations, + AsyncFeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("AsyncFeatureRegistryServiceRestTransport.ListOperations") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.ListOperationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Call the list operations method over HTTP. + + Args: + request (operations_pb2.ListOperationsRequest): + The request object for ListOperations method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.ListOperationsResponse: Response from ListOperations method. + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseListOperations._get_http_options() + ) + + request, metadata = await self._interceptor.pre_list_operations( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseListOperations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseListOperations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "ListOperations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureRegistryServiceRestTransport._ListOperations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = operations_pb2.ListOperationsResponse() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_list_operations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "ListOperations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def wait_operation(self): + return self._WaitOperation(self._session, self._host, self._interceptor) # type: ignore + + class _WaitOperation( + _BaseFeatureRegistryServiceRestTransport._BaseWaitOperation, + AsyncFeatureRegistryServiceRestStub, + ): + def __hash__(self): + return hash("AsyncFeatureRegistryServiceRestTransport.WaitOperation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.WaitOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the wait operation method over HTTP. + + Args: + request (operations_pb2.WaitOperationRequest): + The request object for WaitOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from WaitOperation method. + """ + + http_options = ( + _BaseFeatureRegistryServiceRestTransport._BaseWaitOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_wait_operation( + request, metadata + ) + transcoded_request = _BaseFeatureRegistryServiceRestTransport._BaseWaitOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeatureRegistryServiceRestTransport._BaseWaitOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeatureRegistryServiceClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "WaitOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeatureRegistryServiceRestTransport._WaitOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_wait_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeatureRegistryServiceAsyncClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeatureRegistryService", + "rpcName": "WaitOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def kind(self) -> str: + return "rest_asyncio" + + async def close(self): + await self._session.close() diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/transports/rest_base.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/transports/rest_base.py new file mode 100644 index 0000000000000000000000000000000000000000..8389f9ba83a56cfe44137748b3d04734a3cd836a --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/feature_registry_service/transports/rest_base.py @@ -0,0 +1,3044 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import json # type: ignore +from google.api_core import path_template +from google.api_core import gapic_v1 + +from google.protobuf import json_format +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore +from .base import FeatureRegistryServiceTransport, DEFAULT_CLIENT_INFO + +import re +from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union + + +from google.cloud.aiplatform_v1.types import feature +from google.cloud.aiplatform_v1.types import feature_group +from google.cloud.aiplatform_v1.types import feature_registry_service +from google.cloud.aiplatform_v1.types import featurestore_service +from google.longrunning import operations_pb2 # type: ignore + + +class _BaseFeatureRegistryServiceRestTransport(FeatureRegistryServiceTransport): + """Base REST backend transport for FeatureRegistryService. + + Note: This class is not meant to be used directly. Use its sync and + async sub-classes instead. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + """ + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[Any] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + url_scheme: str = "https", + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[Any]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + url_scheme: the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + maybe_url_match = re.match("^(?Phttp(?:s)?://)?(?P.*)$", host) + if maybe_url_match is None: + raise ValueError( + f"Unexpected hostname structure: {host}" + ) # pragma: NO COVER + + url_match_items = maybe_url_match.groupdict() + + host = f"{url_scheme}://{host}" if not url_match_items["scheme"] else host + + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + class _BaseBatchCreateFeatures: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{parent=projects/*/locations/*/featureGroups/*}/features:batchCreate", + "body": "*", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = featurestore_service.BatchCreateFeaturesRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request["body"], use_integers_for_enums=True + ) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseFeatureRegistryServiceRestTransport._BaseBatchCreateFeatures._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseCreateFeature: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + "featureId": "", + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{parent=projects/*/locations/*/featureGroups/*}/features", + "body": "feature", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = featurestore_service.CreateFeatureRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request["body"], use_integers_for_enums=True + ) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseFeatureRegistryServiceRestTransport._BaseCreateFeature._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseCreateFeatureGroup: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + "featureGroupId": "", + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{parent=projects/*/locations/*}/featureGroups", + "body": "feature_group", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = feature_registry_service.CreateFeatureGroupRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request["body"], use_integers_for_enums=True + ) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseFeatureRegistryServiceRestTransport._BaseCreateFeatureGroup._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseDeleteFeature: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = featurestore_service.DeleteFeatureRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseFeatureRegistryServiceRestTransport._BaseDeleteFeature._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseDeleteFeatureGroup: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = feature_registry_service.DeleteFeatureGroupRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseFeatureRegistryServiceRestTransport._BaseDeleteFeatureGroup._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseGetFeature: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = featurestore_service.GetFeatureRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseFeatureRegistryServiceRestTransport._BaseGetFeature._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseGetFeatureGroup: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = feature_registry_service.GetFeatureGroupRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseFeatureRegistryServiceRestTransport._BaseGetFeatureGroup._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseListFeatureGroups: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/v1/{parent=projects/*/locations/*}/featureGroups", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = feature_registry_service.ListFeatureGroupsRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseFeatureRegistryServiceRestTransport._BaseListFeatureGroups._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseListFeatures: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/v1/{parent=projects/*/locations/*/featureGroups/*}/features", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = featurestore_service.ListFeaturesRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseFeatureRegistryServiceRestTransport._BaseListFeatures._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseUpdateFeature: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "patch", + "uri": "/v1/{feature.name=projects/*/locations/*/featureGroups/*/features/*}", + "body": "feature", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = featurestore_service.UpdateFeatureRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request["body"], use_integers_for_enums=True + ) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseFeatureRegistryServiceRestTransport._BaseUpdateFeature._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseUpdateFeatureGroup: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "patch", + "uri": "/v1/{feature_group.name=projects/*/locations/*/featureGroups/*}", + "body": "feature_group", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = feature_registry_service.UpdateFeatureGroupRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request["body"], use_integers_for_enums=True + ) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseFeatureRegistryServiceRestTransport._BaseUpdateFeatureGroup._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseGetLocation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseListLocations: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*}/locations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*}/locations", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseGetIamPolicy: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/models/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/models/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/endpoints/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/publishers/*/models/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureGroups/*}:getIamPolicy", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseSetIamPolicy: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/models/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/models/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/endpoints/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureGroups/*}:setIamPolicy", + "body": "*", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + body = json.dumps(transcoded_request["body"]) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseTestIamPermissions: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/models/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/models/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/endpoints/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureGroups/*}:testIamPermissions", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseCancelOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseDeleteOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensions/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseGetOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseListOperations: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/agents/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/apps/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensions/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/schedules/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/schedules/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=reasoningEngines/*/sessions/*}/operations", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseWaitOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:wait", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + +__all__ = ("_BaseFeatureRegistryServiceRestTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..2b01888ee2ed63124b05628f2ff6c606cb5bd0a3 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import FeaturestoreOnlineServingServiceClient +from .async_client import FeaturestoreOnlineServingServiceAsyncClient + +__all__ = ( + "FeaturestoreOnlineServingServiceClient", + "FeaturestoreOnlineServingServiceAsyncClient", +) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/__pycache__/__init__.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/__pycache__/__init__.cpython-311.pyc new file mode 100644 index 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0000000000000000000000000000000000000000..c3b462a6bff3146a0362839c04e6d38c246a0853 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/async_client.py @@ -0,0 +1,1443 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging as std_logging +from collections import OrderedDict +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + AsyncIterable, + Awaitable, + Sequence, + Tuple, + Type, + Union, +) + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.types import featurestore_online_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .transports.base import ( + FeaturestoreOnlineServingServiceTransport, + DEFAULT_CLIENT_INFO, +) +from .transports.grpc_asyncio import ( + FeaturestoreOnlineServingServiceGrpcAsyncIOTransport, +) +from .client import FeaturestoreOnlineServingServiceClient + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class FeaturestoreOnlineServingServiceAsyncClient: + """A service for serving online feature values.""" + + _client: FeaturestoreOnlineServingServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = FeaturestoreOnlineServingServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = FeaturestoreOnlineServingServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = ( + FeaturestoreOnlineServingServiceClient._DEFAULT_ENDPOINT_TEMPLATE + ) + _DEFAULT_UNIVERSE = FeaturestoreOnlineServingServiceClient._DEFAULT_UNIVERSE + + entity_type_path = staticmethod( + FeaturestoreOnlineServingServiceClient.entity_type_path + ) + parse_entity_type_path = staticmethod( + FeaturestoreOnlineServingServiceClient.parse_entity_type_path + ) + common_billing_account_path = staticmethod( + FeaturestoreOnlineServingServiceClient.common_billing_account_path + ) + parse_common_billing_account_path = staticmethod( + FeaturestoreOnlineServingServiceClient.parse_common_billing_account_path + ) + common_folder_path = staticmethod( + FeaturestoreOnlineServingServiceClient.common_folder_path + ) + parse_common_folder_path = staticmethod( + FeaturestoreOnlineServingServiceClient.parse_common_folder_path + ) + common_organization_path = staticmethod( + FeaturestoreOnlineServingServiceClient.common_organization_path + ) + parse_common_organization_path = staticmethod( + FeaturestoreOnlineServingServiceClient.parse_common_organization_path + ) + common_project_path = staticmethod( + FeaturestoreOnlineServingServiceClient.common_project_path + ) + parse_common_project_path = staticmethod( + FeaturestoreOnlineServingServiceClient.parse_common_project_path + ) + common_location_path = staticmethod( + FeaturestoreOnlineServingServiceClient.common_location_path + ) + parse_common_location_path = staticmethod( + FeaturestoreOnlineServingServiceClient.parse_common_location_path + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + FeaturestoreOnlineServingServiceAsyncClient: The constructed client. + """ + sa_info_func = ( + FeaturestoreOnlineServingServiceClient.from_service_account_info.__func__ # type: ignore + ) + return sa_info_func( + FeaturestoreOnlineServingServiceAsyncClient, info, *args, **kwargs + ) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + FeaturestoreOnlineServingServiceAsyncClient: The constructed client. + """ + sa_file_func = ( + FeaturestoreOnlineServingServiceClient.from_service_account_file.__func__ # type: ignore + ) + return sa_file_func( + FeaturestoreOnlineServingServiceAsyncClient, filename, *args, **kwargs + ) + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[ClientOptions] = None + ): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return FeaturestoreOnlineServingServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> FeaturestoreOnlineServingServiceTransport: + """Returns the transport used by the client instance. + + Returns: + FeaturestoreOnlineServingServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = FeaturestoreOnlineServingServiceClient.get_transport_class + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + FeaturestoreOnlineServingServiceTransport, + Callable[..., FeaturestoreOnlineServingServiceTransport], + ] + ] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the featurestore online serving service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,FeaturestoreOnlineServingServiceTransport,Callable[..., FeaturestoreOnlineServingServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport to use. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the FeaturestoreOnlineServingServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = FeaturestoreOnlineServingServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceAsyncClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "universeDomain": getattr( + self._client._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._client._transport._credentials).__module__}.{type(self._client._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, "get_cred_info", lambda: None + )(), + } + if hasattr(self._client._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "credentialsType": None, + } + ), + ) + + async def read_feature_values( + self, + request: Optional[ + Union[featurestore_online_service.ReadFeatureValuesRequest, dict] + ] = None, + *, + entity_type: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> featurestore_online_service.ReadFeatureValuesResponse: + r"""Reads Feature values of a specific entity of an + EntityType. For reading feature values of multiple + entities of an EntityType, please use + StreamingReadFeatureValues. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_read_feature_values(): + # Create a client + client = aiplatform_v1.FeaturestoreOnlineServingServiceAsyncClient() + + # Initialize request argument(s) + feature_selector = aiplatform_v1.FeatureSelector() + feature_selector.id_matcher.ids = ['ids_value1', 'ids_value2'] + + request = aiplatform_v1.ReadFeatureValuesRequest( + entity_type="entity_type_value", + entity_id="entity_id_value", + feature_selector=feature_selector, + ) + + # Make the request + response = await client.read_feature_values(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ReadFeatureValuesRequest, dict]]): + The request object. Request message for + [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues]. + entity_type (:class:`str`): + Required. The resource name of the EntityType for the + entity being read. Value format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}``. + For example, for a machine learning model predicting + user clicks on a website, an EntityType ID could be + ``user``. + + This corresponds to the ``entity_type`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.ReadFeatureValuesResponse: + Response message for + [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [entity_type] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, featurestore_online_service.ReadFeatureValuesRequest + ): + request = featurestore_online_service.ReadFeatureValuesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if entity_type is not None: + request.entity_type = entity_type + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.read_feature_values + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("entity_type", request.entity_type),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def streaming_read_feature_values( + self, + request: Optional[ + Union[featurestore_online_service.StreamingReadFeatureValuesRequest, dict] + ] = None, + *, + entity_type: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> Awaitable[ + AsyncIterable[featurestore_online_service.ReadFeatureValuesResponse] + ]: + r"""Reads Feature values for multiple entities. Depending + on their size, data for different entities may be broken + up across multiple responses. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_streaming_read_feature_values(): + # Create a client + client = aiplatform_v1.FeaturestoreOnlineServingServiceAsyncClient() + + # Initialize request argument(s) + feature_selector = aiplatform_v1.FeatureSelector() + feature_selector.id_matcher.ids = ['ids_value1', 'ids_value2'] + + request = aiplatform_v1.StreamingReadFeatureValuesRequest( + entity_type="entity_type_value", + entity_ids=['entity_ids_value1', 'entity_ids_value2'], + feature_selector=feature_selector, + ) + + # Make the request + stream = await client.streaming_read_feature_values(request=request) + + # Handle the response + async for response in stream: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.StreamingReadFeatureValuesRequest, dict]]): + The request object. Request message for + [FeaturestoreOnlineServingService.StreamingReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.StreamingReadFeatureValues]. + entity_type (:class:`str`): + Required. The resource name of the entities' type. Value + format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}``. + For example, for a machine learning model predicting + user clicks on a website, an EntityType ID could be + ``user``. + + This corresponds to the ``entity_type`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + AsyncIterable[google.cloud.aiplatform_v1.types.ReadFeatureValuesResponse]: + Response message for + [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [entity_type] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, featurestore_online_service.StreamingReadFeatureValuesRequest + ): + request = featurestore_online_service.StreamingReadFeatureValuesRequest( + request + ) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if entity_type is not None: + request.entity_type = entity_type + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.streaming_read_feature_values + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("entity_type", request.entity_type),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def write_feature_values( + self, + request: Optional[ + Union[featurestore_online_service.WriteFeatureValuesRequest, dict] + ] = None, + *, + entity_type: Optional[str] = None, + payloads: Optional[ + MutableSequence[featurestore_online_service.WriteFeatureValuesPayload] + ] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> featurestore_online_service.WriteFeatureValuesResponse: + r"""Writes Feature values of one or more entities of an + EntityType. + The Feature values are merged into existing entities if + any. The Feature values to be written must have + timestamp within the online storage retention. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_write_feature_values(): + # Create a client + client = aiplatform_v1.FeaturestoreOnlineServingServiceAsyncClient() + + # Initialize request argument(s) + payloads = aiplatform_v1.WriteFeatureValuesPayload() + payloads.entity_id = "entity_id_value" + + request = aiplatform_v1.WriteFeatureValuesRequest( + entity_type="entity_type_value", + payloads=payloads, + ) + + # Make the request + response = await client.write_feature_values(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.WriteFeatureValuesRequest, dict]]): + The request object. Request message for + [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues]. + entity_type (:class:`str`): + Required. The resource name of the EntityType for the + entities being written. Value format: + ``projects/{project}/locations/{location}/featurestores/ {featurestore}/entityTypes/{entityType}``. + For example, for a machine learning model predicting + user clicks on a website, an EntityType ID could be + ``user``. + + This corresponds to the ``entity_type`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + payloads (:class:`MutableSequence[google.cloud.aiplatform_v1.types.WriteFeatureValuesPayload]`): + Required. The entities to be written. Up to 100,000 + feature values can be written across all ``payloads``. + + This corresponds to the ``payloads`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.WriteFeatureValuesResponse: + Response message for + [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [entity_type, payloads] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, featurestore_online_service.WriteFeatureValuesRequest + ): + request = featurestore_online_service.WriteFeatureValuesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if entity_type is not None: + request.entity_type = entity_type + if payloads: + request.payloads.extend(payloads) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.write_feature_values + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("entity_type", request.entity_type),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[ + self._client._transport.test_iam_permissions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self) -> "FeaturestoreOnlineServingServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +__all__ = ("FeaturestoreOnlineServingServiceAsyncClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/client.py new file mode 100644 index 0000000000000000000000000000000000000000..d0f66125ff7cf33e785ea76726e75e1a9db3a2ac --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/client.py @@ -0,0 +1,1949 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from http import HTTPStatus +import json +import logging as std_logging +import os +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Iterable, + Sequence, + Tuple, + Type, + Union, + cast, +) +import warnings + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + +from google.cloud.aiplatform_v1.types import featurestore_online_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .transports.base import ( + FeaturestoreOnlineServingServiceTransport, + DEFAULT_CLIENT_INFO, +) +from .transports.grpc import FeaturestoreOnlineServingServiceGrpcTransport +from .transports.grpc_asyncio import ( + FeaturestoreOnlineServingServiceGrpcAsyncIOTransport, +) +from .transports.rest import FeaturestoreOnlineServingServiceRestTransport + +try: + from .transports.rest_asyncio import ( + AsyncFeaturestoreOnlineServingServiceRestTransport, + ) + + HAS_ASYNC_REST_DEPENDENCIES = True +except ImportError as e: # pragma: NO COVER + HAS_ASYNC_REST_DEPENDENCIES = False + ASYNC_REST_EXCEPTION = e + + +class FeaturestoreOnlineServingServiceClientMeta(type): + """Metaclass for the FeaturestoreOnlineServingService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + + _transport_registry = ( + OrderedDict() + ) # type: Dict[str, Type[FeaturestoreOnlineServingServiceTransport]] + _transport_registry["grpc"] = FeaturestoreOnlineServingServiceGrpcTransport + _transport_registry["grpc_asyncio"] = ( + FeaturestoreOnlineServingServiceGrpcAsyncIOTransport + ) + _transport_registry["rest"] = FeaturestoreOnlineServingServiceRestTransport + if HAS_ASYNC_REST_DEPENDENCIES: # pragma: NO COVER + _transport_registry["rest_asyncio"] = ( + AsyncFeaturestoreOnlineServingServiceRestTransport + ) + + def get_transport_class( + cls, + label: Optional[str] = None, + ) -> Type[FeaturestoreOnlineServingServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if ( + label == "rest_asyncio" and not HAS_ASYNC_REST_DEPENDENCIES + ): # pragma: NO COVER + raise ASYNC_REST_EXCEPTION + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class FeaturestoreOnlineServingServiceClient( + metaclass=FeaturestoreOnlineServingServiceClientMeta +): + """A service for serving online feature values.""" + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "aiplatform.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @staticmethod + def _use_client_cert_effective(): + """Returns whether client certificate should be used for mTLS if the + google-auth version supports should_use_client_cert automatic mTLS enablement. + + Alternatively, read from the GOOGLE_API_USE_CLIENT_CERTIFICATE env var. + + Returns: + bool: whether client certificate should be used for mTLS + Raises: + ValueError: (If using a version of google-auth without should_use_client_cert and + GOOGLE_API_USE_CLIENT_CERTIFICATE is set to an unexpected value.) + """ + # check if google-auth version supports should_use_client_cert for automatic mTLS enablement + if hasattr(mtls, "should_use_client_cert"): # pragma: NO COVER + return mtls.should_use_client_cert() + else: # pragma: NO COVER + # if unsupported, fallback to reading from env var + use_client_cert_str = os.getenv( + "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false" + ).lower() + if use_client_cert_str not in ("true", "false"): + raise ValueError( + "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be" + " either `true` or `false`" + ) + return use_client_cert_str == "true" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + FeaturestoreOnlineServingServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + FeaturestoreOnlineServingServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file(filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> FeaturestoreOnlineServingServiceTransport: + """Returns the transport used by the client instance. + + Returns: + FeaturestoreOnlineServingServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def entity_type_path( + project: str, + location: str, + featurestore: str, + entity_type: str, + ) -> str: + """Returns a fully-qualified entity_type string.""" + return "projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}".format( + project=project, + location=location, + featurestore=featurestore, + entity_type=entity_type, + ) + + @staticmethod + def parse_entity_type_path(path: str) -> Dict[str, str]: + """Parses a entity_type path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/featurestores/(?P.+?)/entityTypes/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path( + billing_account: str, + ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format( + billing_account=billing_account, + ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str, str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path( + folder: str, + ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format( + folder=folder, + ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str, str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path( + organization: str, + ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format( + organization=organization, + ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str, str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path( + project: str, + ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format( + project=project, + ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str, str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path( + project: str, + location: str, + ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format( + project=project, + location=location, + ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str, str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[client_options_lib.ClientOptions] = None + ): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn( + "get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning, + ) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = ( + FeaturestoreOnlineServingServiceClient._use_client_cert_effective() + ) + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert: + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = ( + FeaturestoreOnlineServingServiceClient._use_client_cert_effective() + ) + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + return use_client_cert, use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint( + api_override, client_cert_source, universe_domain, use_mtls_endpoint + ): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + _default_universe = FeaturestoreOnlineServingServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError( + f"mTLS is not supported in any universe other than {_default_universe}." + ) + api_endpoint = FeaturestoreOnlineServingServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = FeaturestoreOnlineServingServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format( + UNIVERSE_DOMAIN=universe_domain + ) + return api_endpoint + + @staticmethod + def _get_universe_domain( + client_universe_domain: Optional[str], universe_domain_env: Optional[str] + ) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = FeaturestoreOnlineServingServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + + # NOTE (b/349488459): universe validation is disabled until further notice. + return True + + def _add_cred_info_for_auth_errors( + self, error: core_exceptions.GoogleAPICallError + ) -> None: + """Adds credential info string to error details for 401/403/404 errors. + + Args: + error (google.api_core.exceptions.GoogleAPICallError): The error to add the cred info. + """ + if error.code not in [ + HTTPStatus.UNAUTHORIZED, + HTTPStatus.FORBIDDEN, + HTTPStatus.NOT_FOUND, + ]: + return + + cred = self._transport._credentials + + # get_cred_info is only available in google-auth>=2.35.0 + if not hasattr(cred, "get_cred_info"): + return + + # ignore the type check since pypy test fails when get_cred_info + # is not available + cred_info = cred.get_cred_info() # type: ignore + if cred_info and hasattr(error._details, "append"): + error._details.append(json.dumps(cred_info)) + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + FeaturestoreOnlineServingServiceTransport, + Callable[..., FeaturestoreOnlineServingServiceTransport], + ] + ] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the featurestore online serving service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,FeaturestoreOnlineServingServiceTransport,Callable[..., FeaturestoreOnlineServingServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the FeaturestoreOnlineServingServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast( + client_options_lib.ClientOptions, self._client_options + ) + + universe_domain_opt = getattr(self._client_options, "universe_domain", None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = ( + FeaturestoreOnlineServingServiceClient._read_environment_variables() + ) + self._client_cert_source = ( + FeaturestoreOnlineServingServiceClient._get_client_cert_source( + self._client_options.client_cert_source, self._use_client_cert + ) + ) + self._universe_domain = ( + FeaturestoreOnlineServingServiceClient._get_universe_domain( + universe_domain_opt, self._universe_domain_env + ) + ) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + if CLIENT_LOGGING_SUPPORTED: # pragma: NO COVER + # Setup logging. + client_logging.initialize_logging() + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError( + "client_options.api_key and credentials are mutually exclusive" + ) + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance( + transport, FeaturestoreOnlineServingServiceTransport + ) + if transport_provided: + # transport is a FeaturestoreOnlineServingServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError( + "When providing a transport instance, " + "provide its credentials directly." + ) + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(FeaturestoreOnlineServingServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = ( + self._api_endpoint + or FeaturestoreOnlineServingServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint, + ) + ) + + if not transport_provided: + transport_init: Union[ + Type[FeaturestoreOnlineServingServiceTransport], + Callable[..., FeaturestoreOnlineServingServiceTransport], + ] = ( + FeaturestoreOnlineServingServiceClient.get_transport_class(transport) + if isinstance(transport, str) or transport is None + else cast( + Callable[..., FeaturestoreOnlineServingServiceTransport], transport + ) + ) + + if "rest_asyncio" in str(transport_init): + unsupported_params = { + "google.api_core.client_options.ClientOptions.credentials_file": self._client_options.credentials_file, + "google.api_core.client_options.ClientOptions.scopes": self._client_options.scopes, + "google.api_core.client_options.ClientOptions.quota_project_id": self._client_options.quota_project_id, + "google.api_core.client_options.ClientOptions.client_cert_source": self._client_options.client_cert_source, + "google.api_core.client_options.ClientOptions.api_audience": self._client_options.api_audience, + } + provided_unsupported_params = [ + name + for name, value in unsupported_params.items() + if value is not None + ] + if provided_unsupported_params: + raise core_exceptions.AsyncRestUnsupportedParameterError( # type: ignore + f"The following provided parameters are not supported for `transport=rest_asyncio`: {', '.join(provided_unsupported_params)}" + ) + self._transport = transport_init( + credentials=credentials, + host=self._api_endpoint, + client_info=client_info, + ) + return + + import google.auth._default # type: ignore + + if api_key_value and hasattr( + google.auth._default, "get_api_key_credentials" + ): + credentials = google.auth._default.get_api_key_credentials( + api_key_value + ) + + # initialize with the provided callable or the passed in class + self._transport = transport_init( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + if "async" not in str(self._transport): + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "universeDomain": getattr( + self._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._transport._credentials).__module__}.{type(self._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, + "get_cred_info", + lambda: None, + )(), + } + if hasattr(self._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "credentialsType": None, + } + ), + ) + + def read_feature_values( + self, + request: Optional[ + Union[featurestore_online_service.ReadFeatureValuesRequest, dict] + ] = None, + *, + entity_type: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> featurestore_online_service.ReadFeatureValuesResponse: + r"""Reads Feature values of a specific entity of an + EntityType. For reading feature values of multiple + entities of an EntityType, please use + StreamingReadFeatureValues. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_read_feature_values(): + # Create a client + client = aiplatform_v1.FeaturestoreOnlineServingServiceClient() + + # Initialize request argument(s) + feature_selector = aiplatform_v1.FeatureSelector() + feature_selector.id_matcher.ids = ['ids_value1', 'ids_value2'] + + request = aiplatform_v1.ReadFeatureValuesRequest( + entity_type="entity_type_value", + entity_id="entity_id_value", + feature_selector=feature_selector, + ) + + # Make the request + response = client.read_feature_values(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ReadFeatureValuesRequest, dict]): + The request object. Request message for + [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues]. + entity_type (str): + Required. The resource name of the EntityType for the + entity being read. Value format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}``. + For example, for a machine learning model predicting + user clicks on a website, an EntityType ID could be + ``user``. + + This corresponds to the ``entity_type`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.ReadFeatureValuesResponse: + Response message for + [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [entity_type] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, featurestore_online_service.ReadFeatureValuesRequest + ): + request = featurestore_online_service.ReadFeatureValuesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if entity_type is not None: + request.entity_type = entity_type + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.read_feature_values] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("entity_type", request.entity_type),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def streaming_read_feature_values( + self, + request: Optional[ + Union[featurestore_online_service.StreamingReadFeatureValuesRequest, dict] + ] = None, + *, + entity_type: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> Iterable[featurestore_online_service.ReadFeatureValuesResponse]: + r"""Reads Feature values for multiple entities. Depending + on their size, data for different entities may be broken + up across multiple responses. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_streaming_read_feature_values(): + # Create a client + client = aiplatform_v1.FeaturestoreOnlineServingServiceClient() + + # Initialize request argument(s) + feature_selector = aiplatform_v1.FeatureSelector() + feature_selector.id_matcher.ids = ['ids_value1', 'ids_value2'] + + request = aiplatform_v1.StreamingReadFeatureValuesRequest( + entity_type="entity_type_value", + entity_ids=['entity_ids_value1', 'entity_ids_value2'], + feature_selector=feature_selector, + ) + + # Make the request + stream = client.streaming_read_feature_values(request=request) + + # Handle the response + for response in stream: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.StreamingReadFeatureValuesRequest, dict]): + The request object. Request message for + [FeaturestoreOnlineServingService.StreamingReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.StreamingReadFeatureValues]. + entity_type (str): + Required. The resource name of the entities' type. Value + format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}``. + For example, for a machine learning model predicting + user clicks on a website, an EntityType ID could be + ``user``. + + This corresponds to the ``entity_type`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + Iterable[google.cloud.aiplatform_v1.types.ReadFeatureValuesResponse]: + Response message for + [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [entity_type] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, featurestore_online_service.StreamingReadFeatureValuesRequest + ): + request = featurestore_online_service.StreamingReadFeatureValuesRequest( + request + ) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if entity_type is not None: + request.entity_type = entity_type + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.streaming_read_feature_values + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("entity_type", request.entity_type),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def write_feature_values( + self, + request: Optional[ + Union[featurestore_online_service.WriteFeatureValuesRequest, dict] + ] = None, + *, + entity_type: Optional[str] = None, + payloads: Optional[ + MutableSequence[featurestore_online_service.WriteFeatureValuesPayload] + ] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> featurestore_online_service.WriteFeatureValuesResponse: + r"""Writes Feature values of one or more entities of an + EntityType. + The Feature values are merged into existing entities if + any. The Feature values to be written must have + timestamp within the online storage retention. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_write_feature_values(): + # Create a client + client = aiplatform_v1.FeaturestoreOnlineServingServiceClient() + + # Initialize request argument(s) + payloads = aiplatform_v1.WriteFeatureValuesPayload() + payloads.entity_id = "entity_id_value" + + request = aiplatform_v1.WriteFeatureValuesRequest( + entity_type="entity_type_value", + payloads=payloads, + ) + + # Make the request + response = client.write_feature_values(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.WriteFeatureValuesRequest, dict]): + The request object. Request message for + [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues]. + entity_type (str): + Required. The resource name of the EntityType for the + entities being written. Value format: + ``projects/{project}/locations/{location}/featurestores/ {featurestore}/entityTypes/{entityType}``. + For example, for a machine learning model predicting + user clicks on a website, an EntityType ID could be + ``user``. + + This corresponds to the ``entity_type`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + payloads (MutableSequence[google.cloud.aiplatform_v1.types.WriteFeatureValuesPayload]): + Required. The entities to be written. Up to 100,000 + feature values can be written across all ``payloads``. + + This corresponds to the ``payloads`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.WriteFeatureValuesResponse: + Response message for + [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [entity_type, payloads] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, featurestore_online_service.WriteFeatureValuesRequest + ): + request = featurestore_online_service.WriteFeatureValuesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if entity_type is not None: + request.entity_type = entity_type + if payloads is not None: + request.payloads = payloads + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.write_feature_values] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("entity_type", request.entity_type),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def __enter__(self) -> "FeaturestoreOnlineServingServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + +__all__ = ("FeaturestoreOnlineServingServiceClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/transports/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/transports/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..c2b0c85800efab90a672a8090f11eb650f86ebec --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/transports/__init__.py @@ -0,0 +1,60 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from typing import Dict, Type, Tuple + +from .base import FeaturestoreOnlineServingServiceTransport +from .grpc import FeaturestoreOnlineServingServiceGrpcTransport +from .grpc_asyncio import FeaturestoreOnlineServingServiceGrpcAsyncIOTransport +from .rest import FeaturestoreOnlineServingServiceRestTransport +from .rest import FeaturestoreOnlineServingServiceRestInterceptor + +ASYNC_REST_CLASSES: Tuple[str, ...] +try: + from .rest_asyncio import AsyncFeaturestoreOnlineServingServiceRestTransport + from .rest_asyncio import AsyncFeaturestoreOnlineServingServiceRestInterceptor + + ASYNC_REST_CLASSES = ( + "AsyncFeaturestoreOnlineServingServiceRestTransport", + "AsyncFeaturestoreOnlineServingServiceRestInterceptor", + ) + HAS_REST_ASYNC = True +except ImportError: # pragma: NO COVER + ASYNC_REST_CLASSES = () + HAS_REST_ASYNC = False + + +# Compile a registry of transports. +_transport_registry = ( + OrderedDict() +) # type: Dict[str, Type[FeaturestoreOnlineServingServiceTransport]] +_transport_registry["grpc"] = FeaturestoreOnlineServingServiceGrpcTransport +_transport_registry["grpc_asyncio"] = ( + FeaturestoreOnlineServingServiceGrpcAsyncIOTransport +) +_transport_registry["rest"] = FeaturestoreOnlineServingServiceRestTransport +if HAS_REST_ASYNC: # pragma: NO COVER + _transport_registry["rest_asyncio"] = ( + AsyncFeaturestoreOnlineServingServiceRestTransport + ) + +__all__ = ( + "FeaturestoreOnlineServingServiceTransport", + "FeaturestoreOnlineServingServiceGrpcTransport", + "FeaturestoreOnlineServingServiceGrpcAsyncIOTransport", + "FeaturestoreOnlineServingServiceRestTransport", + "FeaturestoreOnlineServingServiceRestInterceptor", +) + ASYNC_REST_CLASSES diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/transports/__pycache__/__init__.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/transports/__pycache__/__init__.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..a6df8db72e1698f1dfeaba21d7404fe8898ede8c Binary files 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a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/transports/base.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/transports/base.py new file mode 100644 index 0000000000000000000000000000000000000000..3a2826883243e462a89f60e275c0d26465972150 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/transports/base.py @@ -0,0 +1,360 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import abc +from typing import Awaitable, Callable, Dict, Optional, Sequence, Union + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +import google.auth # type: ignore +import google.api_core +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +from google.cloud.aiplatform_v1.types import featurestore_online_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +class FeaturestoreOnlineServingServiceTransport(abc.ABC): + """Abstract transport class for FeaturestoreOnlineServingService.""" + + AUTH_SCOPES = ("https://www.googleapis.com/auth/cloud-platform",) + + DEFAULT_HOST: str = "aiplatform.googleapis.com" + + def __init__( + self, + *, + host: str = DEFAULT_HOST, + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + **kwargs, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. This argument will be + removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A list of scopes. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + """ + + # Save the scopes. + self._scopes = scopes + if not hasattr(self, "_ignore_credentials"): + self._ignore_credentials: bool = False + + # If no credentials are provided, then determine the appropriate + # defaults. + if credentials and credentials_file: + raise core_exceptions.DuplicateCredentialArgs( + "'credentials_file' and 'credentials' are mutually exclusive" + ) + + if credentials_file is not None: + credentials, _ = google.auth.load_credentials_from_file( + credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + default_scopes=self.AUTH_SCOPES, + ) + elif credentials is None and not self._ignore_credentials: + credentials, _ = google.auth.default( + scopes=scopes, + quota_project_id=quota_project_id, + default_scopes=self.AUTH_SCOPES, + ) + # Don't apply audience if the credentials file passed from user. + if hasattr(credentials, "with_gdch_audience"): + credentials = credentials.with_gdch_audience( + api_audience if api_audience else host + ) + + # If the credentials are service account credentials, then always try to use self signed JWT. + if ( + always_use_jwt_access + and isinstance(credentials, service_account.Credentials) + and hasattr(service_account.Credentials, "with_always_use_jwt_access") + ): + credentials = credentials.with_always_use_jwt_access(True) + + # Save the credentials. + self._credentials = credentials + + # Save the hostname. Default to port 443 (HTTPS) if none is specified. + if ":" not in host: + host += ":443" + self._host = host + + @property + def host(self): + return self._host + + def _prep_wrapped_messages(self, client_info): + # Precompute the wrapped methods. + self._wrapped_methods = { + self.read_feature_values: gapic_v1.method.wrap_method( + self.read_feature_values, + default_timeout=None, + client_info=client_info, + ), + self.streaming_read_feature_values: gapic_v1.method.wrap_method( + self.streaming_read_feature_values, + default_timeout=None, + client_info=client_info, + ), + self.write_feature_values: gapic_v1.method.wrap_method( + self.write_feature_values, + default_timeout=None, + client_info=client_info, + ), + self.get_location: gapic_v1.method.wrap_method( + self.get_location, + default_timeout=None, + client_info=client_info, + ), + self.list_locations: gapic_v1.method.wrap_method( + self.list_locations, + default_timeout=None, + client_info=client_info, + ), + self.get_iam_policy: gapic_v1.method.wrap_method( + self.get_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.set_iam_policy: gapic_v1.method.wrap_method( + self.set_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.test_iam_permissions: gapic_v1.method.wrap_method( + self.test_iam_permissions, + default_timeout=None, + client_info=client_info, + ), + self.cancel_operation: gapic_v1.method.wrap_method( + self.cancel_operation, + default_timeout=None, + client_info=client_info, + ), + self.delete_operation: gapic_v1.method.wrap_method( + self.delete_operation, + default_timeout=None, + client_info=client_info, + ), + self.get_operation: gapic_v1.method.wrap_method( + self.get_operation, + default_timeout=None, + client_info=client_info, + ), + self.list_operations: gapic_v1.method.wrap_method( + self.list_operations, + default_timeout=None, + client_info=client_info, + ), + self.wait_operation: gapic_v1.method.wrap_method( + self.wait_operation, + default_timeout=None, + client_info=client_info, + ), + } + + def close(self): + """Closes resources associated with the transport. + + .. warning:: + Only call this method if the transport is NOT shared + with other clients - this may cause errors in other clients! + """ + raise NotImplementedError() + + @property + def read_feature_values( + self, + ) -> Callable[ + [featurestore_online_service.ReadFeatureValuesRequest], + Union[ + featurestore_online_service.ReadFeatureValuesResponse, + Awaitable[featurestore_online_service.ReadFeatureValuesResponse], + ], + ]: + raise NotImplementedError() + + @property + def streaming_read_feature_values( + self, + ) -> Callable[ + [featurestore_online_service.StreamingReadFeatureValuesRequest], + Union[ + featurestore_online_service.ReadFeatureValuesResponse, + Awaitable[featurestore_online_service.ReadFeatureValuesResponse], + ], + ]: + raise NotImplementedError() + + @property + def write_feature_values( + self, + ) -> Callable[ + [featurestore_online_service.WriteFeatureValuesRequest], + Union[ + featurestore_online_service.WriteFeatureValuesResponse, + Awaitable[featurestore_online_service.WriteFeatureValuesResponse], + ], + ]: + raise NotImplementedError() + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], + Union[ + operations_pb2.ListOperationsResponse, + Awaitable[operations_pb2.ListOperationsResponse], + ], + ]: + raise NotImplementedError() + + @property + def get_operation( + self, + ) -> Callable[ + [operations_pb2.GetOperationRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def cancel_operation( + self, + ) -> Callable[ + [operations_pb2.CancelOperationRequest], + None, + ]: + raise NotImplementedError() + + @property + def delete_operation( + self, + ) -> Callable[ + [operations_pb2.DeleteOperationRequest], + None, + ]: + raise NotImplementedError() + + @property + def wait_operation( + self, + ) -> Callable[ + [operations_pb2.WaitOperationRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def set_iam_policy( + self, + ) -> Callable[ + [iam_policy_pb2.SetIamPolicyRequest], + Union[policy_pb2.Policy, Awaitable[policy_pb2.Policy]], + ]: + raise NotImplementedError() + + @property + def get_iam_policy( + self, + ) -> Callable[ + [iam_policy_pb2.GetIamPolicyRequest], + Union[policy_pb2.Policy, Awaitable[policy_pb2.Policy]], + ]: + raise NotImplementedError() + + @property + def test_iam_permissions( + self, + ) -> Callable[ + [iam_policy_pb2.TestIamPermissionsRequest], + Union[ + iam_policy_pb2.TestIamPermissionsResponse, + Awaitable[iam_policy_pb2.TestIamPermissionsResponse], + ], + ]: + raise NotImplementedError() + + @property + def get_location( + self, + ) -> Callable[ + [locations_pb2.GetLocationRequest], + Union[locations_pb2.Location, Awaitable[locations_pb2.Location]], + ]: + raise NotImplementedError() + + @property + def list_locations( + self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], + Union[ + locations_pb2.ListLocationsResponse, + Awaitable[locations_pb2.ListLocationsResponse], + ], + ]: + raise NotImplementedError() + + @property + def kind(self) -> str: + raise NotImplementedError() + + +__all__ = ("FeaturestoreOnlineServingServiceTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/transports/grpc.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/transports/grpc.py new file mode 100644 index 0000000000000000000000000000000000000000..a08a6a6c08139a0941db834fba387df673f1c3d3 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/transports/grpc.py @@ -0,0 +1,640 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import json +import logging as std_logging +import pickle +import warnings +from typing import Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import grpc_helpers +from google.api_core import gapic_v1 +import google.auth # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.protobuf.json_format import MessageToJson +import google.protobuf.message + +import grpc # type: ignore +import proto # type: ignore + +from google.cloud.aiplatform_v1.types import featurestore_online_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .base import FeaturestoreOnlineServingServiceTransport, DEFAULT_CLIENT_INFO + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class _LoggingClientInterceptor(grpc.UnaryUnaryClientInterceptor): # pragma: NO COVER + def intercept_unary_unary(self, continuation, client_call_details, request): + logging_enabled = CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ) + if logging_enabled: # pragma: NO COVER + request_metadata = client_call_details.metadata + if isinstance(request, proto.Message): + request_payload = type(request).to_json(request) + elif isinstance(request, google.protobuf.message.Message): + request_payload = MessageToJson(request) + else: + request_payload = f"{type(request).__name__}: {pickle.dumps(request)}" + + request_metadata = { + key: value.decode("utf-8") if isinstance(value, bytes) else value + for key, value in request_metadata + } + grpc_request = { + "payload": request_payload, + "requestMethod": "grpc", + "metadata": dict(request_metadata), + } + _LOGGER.debug( + f"Sending request for {client_call_details.method}", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": str(client_call_details.method), + "request": grpc_request, + "metadata": grpc_request["metadata"], + }, + ) + response = continuation(client_call_details, request) + if logging_enabled: # pragma: NO COVER + response_metadata = response.trailing_metadata() + # Convert gRPC metadata `` to list of tuples + metadata = ( + dict([(k, str(v)) for k, v in response_metadata]) + if response_metadata + else None + ) + result = response.result() + if isinstance(result, proto.Message): + response_payload = type(result).to_json(result) + elif isinstance(result, google.protobuf.message.Message): + response_payload = MessageToJson(result) + else: + response_payload = f"{type(result).__name__}: {pickle.dumps(result)}" + grpc_response = { + "payload": response_payload, + "metadata": metadata, + "status": "OK", + } + _LOGGER.debug( + f"Received response for {client_call_details.method}.", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": client_call_details.method, + "response": grpc_response, + "metadata": grpc_response["metadata"], + }, + ) + return response + + +class FeaturestoreOnlineServingServiceGrpcTransport( + FeaturestoreOnlineServingServiceTransport +): + """gRPC backend transport for FeaturestoreOnlineServingService. + + A service for serving online feature values. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + + _stubs: Dict[str, Callable] + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]] = None, + api_mtls_endpoint: Optional[str] = None, + client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if a ``channel`` instance is provided. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if a ``channel`` instance is provided. + This argument will be removed in the next major version of this library. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if a ``channel`` instance is provided. + channel (Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]]): + A ``Channel`` instance through which to make calls, or a Callable + that constructs and returns one. If set to None, ``self.create_channel`` + is used to create the channel. If a Callable is given, it will be called + with the same arguments as used in ``self.create_channel``. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if a ``channel`` instance is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if isinstance(channel, grpc.Channel): + # Ignore credentials if a channel was passed. + credentials = None + self._ignore_credentials = True + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + # initialize with the provided callable or the default channel + channel_init = channel or type(self).create_channel + self._grpc_channel = channel_init( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + self._interceptor = _LoggingClientInterceptor() + self._logged_channel = grpc.intercept_channel( + self._grpc_channel, self._interceptor + ) + + # Wrap messages. This must be done after self._logged_channel exists + self._prep_wrapped_messages(client_info) + + @classmethod + def create_channel( + cls, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs, + ) -> grpc.Channel: + """Create and return a gRPC channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. This argument will be + removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + grpc.Channel: A gRPC channel object. + + Raises: + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + + return grpc_helpers.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs, + ) + + @property + def grpc_channel(self) -> grpc.Channel: + """Return the channel designed to connect to this service.""" + return self._grpc_channel + + @property + def read_feature_values( + self, + ) -> Callable[ + [featurestore_online_service.ReadFeatureValuesRequest], + featurestore_online_service.ReadFeatureValuesResponse, + ]: + r"""Return a callable for the read feature values method over gRPC. + + Reads Feature values of a specific entity of an + EntityType. For reading feature values of multiple + entities of an EntityType, please use + StreamingReadFeatureValues. + + Returns: + Callable[[~.ReadFeatureValuesRequest], + ~.ReadFeatureValuesResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "read_feature_values" not in self._stubs: + self._stubs["read_feature_values"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeaturestoreOnlineServingService/ReadFeatureValues", + request_serializer=featurestore_online_service.ReadFeatureValuesRequest.serialize, + response_deserializer=featurestore_online_service.ReadFeatureValuesResponse.deserialize, + ) + return self._stubs["read_feature_values"] + + @property + def streaming_read_feature_values( + self, + ) -> Callable[ + [featurestore_online_service.StreamingReadFeatureValuesRequest], + featurestore_online_service.ReadFeatureValuesResponse, + ]: + r"""Return a callable for the streaming read feature values method over gRPC. + + Reads Feature values for multiple entities. Depending + on their size, data for different entities may be broken + up across multiple responses. + + Returns: + Callable[[~.StreamingReadFeatureValuesRequest], + ~.ReadFeatureValuesResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "streaming_read_feature_values" not in self._stubs: + self._stubs["streaming_read_feature_values"] = ( + self._logged_channel.unary_stream( + "/google.cloud.aiplatform.v1.FeaturestoreOnlineServingService/StreamingReadFeatureValues", + request_serializer=featurestore_online_service.StreamingReadFeatureValuesRequest.serialize, + response_deserializer=featurestore_online_service.ReadFeatureValuesResponse.deserialize, + ) + ) + return self._stubs["streaming_read_feature_values"] + + @property + def write_feature_values( + self, + ) -> Callable[ + [featurestore_online_service.WriteFeatureValuesRequest], + featurestore_online_service.WriteFeatureValuesResponse, + ]: + r"""Return a callable for the write feature values method over gRPC. + + Writes Feature values of one or more entities of an + EntityType. + The Feature values are merged into existing entities if + any. The Feature values to be written must have + timestamp within the online storage retention. + + Returns: + Callable[[~.WriteFeatureValuesRequest], + ~.WriteFeatureValuesResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "write_feature_values" not in self._stubs: + self._stubs["write_feature_values"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeaturestoreOnlineServingService/WriteFeatureValues", + request_serializer=featurestore_online_service.WriteFeatureValuesRequest.serialize, + response_deserializer=featurestore_online_service.WriteFeatureValuesResponse.deserialize, + ) + return self._stubs["write_feature_values"] + + def close(self): + self._logged_channel.close() + + @property + def delete_operation( + self, + ) -> Callable[[operations_pb2.DeleteOperationRequest], None]: + r"""Return a callable for the delete_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_operation" not in self._stubs: + self._stubs["delete_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/DeleteOperation", + request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["delete_operation"] + + @property + def cancel_operation( + self, + ) -> Callable[[operations_pb2.CancelOperationRequest], None]: + r"""Return a callable for the cancel_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "cancel_operation" not in self._stubs: + self._stubs["cancel_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/CancelOperation", + request_serializer=operations_pb2.CancelOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["cancel_operation"] + + @property + def wait_operation( + self, + ) -> Callable[[operations_pb2.WaitOperationRequest], None]: + r"""Return a callable for the wait_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "wait_operation" not in self._stubs: + self._stubs["wait_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/WaitOperation", + request_serializer=operations_pb2.WaitOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["wait_operation"] + + @property + def get_operation( + self, + ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]: + r"""Return a callable for the get_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_operation" not in self._stubs: + self._stubs["get_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/GetOperation", + request_serializer=operations_pb2.GetOperationRequest.SerializeToString, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["get_operation"] + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse + ]: + r"""Return a callable for the list_operations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_operations" not in self._stubs: + self._stubs["list_operations"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/ListOperations", + request_serializer=operations_pb2.ListOperationsRequest.SerializeToString, + response_deserializer=operations_pb2.ListOperationsResponse.FromString, + ) + return self._stubs["list_operations"] + + @property + def list_locations( + self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse + ]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_locations" not in self._stubs: + self._stubs["list_locations"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/ListLocations", + request_serializer=locations_pb2.ListLocationsRequest.SerializeToString, + response_deserializer=locations_pb2.ListLocationsResponse.FromString, + ) + return self._stubs["list_locations"] + + @property + def get_location( + self, + ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_location" not in self._stubs: + self._stubs["get_location"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/GetLocation", + request_serializer=locations_pb2.GetLocationRequest.SerializeToString, + response_deserializer=locations_pb2.Location.FromString, + ) + return self._stubs["get_location"] + + @property + def set_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.SetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the set iam policy method over gRPC. + Sets the IAM access control policy on the specified + function. Replaces any existing policy. + Returns: + Callable[[~.SetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "set_iam_policy" not in self._stubs: + self._stubs["set_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/SetIamPolicy", + request_serializer=iam_policy_pb2.SetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["set_iam_policy"] + + @property + def get_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.GetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the get iam policy method over gRPC. + Gets the IAM access control policy for a function. + Returns an empty policy if the function exists and does + not have a policy set. + Returns: + Callable[[~.GetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_iam_policy" not in self._stubs: + self._stubs["get_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/GetIamPolicy", + request_serializer=iam_policy_pb2.GetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["get_iam_policy"] + + @property + def test_iam_permissions( + self, + ) -> Callable[ + [iam_policy_pb2.TestIamPermissionsRequest], + iam_policy_pb2.TestIamPermissionsResponse, + ]: + r"""Return a callable for the test iam permissions method over gRPC. + Tests the specified permissions against the IAM access control + policy for a function. If the function does not exist, this will + return an empty set of permissions, not a NOT_FOUND error. + Returns: + Callable[[~.TestIamPermissionsRequest], + ~.TestIamPermissionsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "test_iam_permissions" not in self._stubs: + self._stubs["test_iam_permissions"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/TestIamPermissions", + request_serializer=iam_policy_pb2.TestIamPermissionsRequest.SerializeToString, + response_deserializer=iam_policy_pb2.TestIamPermissionsResponse.FromString, + ) + return self._stubs["test_iam_permissions"] + + @property + def kind(self) -> str: + return "grpc" + + +__all__ = ("FeaturestoreOnlineServingServiceGrpcTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/transports/grpc_asyncio.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/transports/grpc_asyncio.py new file mode 100644 index 0000000000000000000000000000000000000000..b4018bedea461c660dee3c0cf19c5a5009bb99c8 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/transports/grpc_asyncio.py @@ -0,0 +1,723 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import inspect +import json +import pickle +import logging as std_logging +import warnings +from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import gapic_v1 +from google.api_core import grpc_helpers_async +from google.api_core import exceptions as core_exceptions +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.protobuf.json_format import MessageToJson +import google.protobuf.message + +import grpc # type: ignore +import proto # type: ignore +from grpc.experimental import aio # type: ignore + +from google.cloud.aiplatform_v1.types import featurestore_online_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .base import FeaturestoreOnlineServingServiceTransport, DEFAULT_CLIENT_INFO +from .grpc import FeaturestoreOnlineServingServiceGrpcTransport + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class _LoggingClientAIOInterceptor( + grpc.aio.UnaryUnaryClientInterceptor +): # pragma: NO COVER + async def intercept_unary_unary(self, continuation, client_call_details, request): + logging_enabled = CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ) + if logging_enabled: # pragma: NO COVER + request_metadata = client_call_details.metadata + if isinstance(request, proto.Message): + request_payload = type(request).to_json(request) + elif isinstance(request, google.protobuf.message.Message): + request_payload = MessageToJson(request) + else: + request_payload = f"{type(request).__name__}: {pickle.dumps(request)}" + + request_metadata = { + key: value.decode("utf-8") if isinstance(value, bytes) else value + for key, value in request_metadata + } + grpc_request = { + "payload": request_payload, + "requestMethod": "grpc", + "metadata": dict(request_metadata), + } + _LOGGER.debug( + f"Sending request for {client_call_details.method}", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": str(client_call_details.method), + "request": grpc_request, + "metadata": grpc_request["metadata"], + }, + ) + response = await continuation(client_call_details, request) + if logging_enabled: # pragma: NO COVER + response_metadata = await response.trailing_metadata() + # Convert gRPC metadata `` to list of tuples + metadata = ( + dict([(k, str(v)) for k, v in response_metadata]) + if response_metadata + else None + ) + result = await response + if isinstance(result, proto.Message): + response_payload = type(result).to_json(result) + elif isinstance(result, google.protobuf.message.Message): + response_payload = MessageToJson(result) + else: + response_payload = f"{type(result).__name__}: {pickle.dumps(result)}" + grpc_response = { + "payload": response_payload, + "metadata": metadata, + "status": "OK", + } + _LOGGER.debug( + f"Received response to rpc {client_call_details.method}.", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": str(client_call_details.method), + "response": grpc_response, + "metadata": grpc_response["metadata"], + }, + ) + return response + + +class FeaturestoreOnlineServingServiceGrpcAsyncIOTransport( + FeaturestoreOnlineServingServiceTransport +): + """gRPC AsyncIO backend transport for FeaturestoreOnlineServingService. + + A service for serving online feature values. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + + _grpc_channel: aio.Channel + _stubs: Dict[str, Callable] = {} + + @classmethod + def create_channel( + cls, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs, + ) -> aio.Channel: + """Create and return a gRPC AsyncIO channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. This argument will be + removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + aio.Channel: A gRPC AsyncIO channel object. + """ + + return grpc_helpers_async.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs, + ) + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: Optional[Union[aio.Channel, Callable[..., aio.Channel]]] = None, + api_mtls_endpoint: Optional[str] = None, + client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if a ``channel`` instance is provided. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if a ``channel`` instance is provided. + This argument will be removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + channel (Optional[Union[aio.Channel, Callable[..., aio.Channel]]]): + A ``Channel`` instance through which to make calls, or a Callable + that constructs and returns one. If set to None, ``self.create_channel`` + is used to create the channel. If a Callable is given, it will be called + with the same arguments as used in ``self.create_channel``. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if a ``channel`` instance is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if isinstance(channel, aio.Channel): + # Ignore credentials if a channel was passed. + credentials = None + self._ignore_credentials = True + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + # initialize with the provided callable or the default channel + channel_init = channel or type(self).create_channel + self._grpc_channel = channel_init( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + self._interceptor = _LoggingClientAIOInterceptor() + self._grpc_channel._unary_unary_interceptors.append(self._interceptor) + self._logged_channel = self._grpc_channel + self._wrap_with_kind = ( + "kind" in inspect.signature(gapic_v1.method_async.wrap_method).parameters + ) + # Wrap messages. This must be done after self._logged_channel exists + self._prep_wrapped_messages(client_info) + + @property + def grpc_channel(self) -> aio.Channel: + """Create the channel designed to connect to this service. + + This property caches on the instance; repeated calls return + the same channel. + """ + # Return the channel from cache. + return self._grpc_channel + + @property + def read_feature_values( + self, + ) -> Callable[ + [featurestore_online_service.ReadFeatureValuesRequest], + Awaitable[featurestore_online_service.ReadFeatureValuesResponse], + ]: + r"""Return a callable for the read feature values method over gRPC. + + Reads Feature values of a specific entity of an + EntityType. For reading feature values of multiple + entities of an EntityType, please use + StreamingReadFeatureValues. + + Returns: + Callable[[~.ReadFeatureValuesRequest], + Awaitable[~.ReadFeatureValuesResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "read_feature_values" not in self._stubs: + self._stubs["read_feature_values"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeaturestoreOnlineServingService/ReadFeatureValues", + request_serializer=featurestore_online_service.ReadFeatureValuesRequest.serialize, + response_deserializer=featurestore_online_service.ReadFeatureValuesResponse.deserialize, + ) + return self._stubs["read_feature_values"] + + @property + def streaming_read_feature_values( + self, + ) -> Callable[ + [featurestore_online_service.StreamingReadFeatureValuesRequest], + Awaitable[featurestore_online_service.ReadFeatureValuesResponse], + ]: + r"""Return a callable for the streaming read feature values method over gRPC. + + Reads Feature values for multiple entities. Depending + on their size, data for different entities may be broken + up across multiple responses. + + Returns: + Callable[[~.StreamingReadFeatureValuesRequest], + Awaitable[~.ReadFeatureValuesResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "streaming_read_feature_values" not in self._stubs: + self._stubs["streaming_read_feature_values"] = ( + self._logged_channel.unary_stream( + "/google.cloud.aiplatform.v1.FeaturestoreOnlineServingService/StreamingReadFeatureValues", + request_serializer=featurestore_online_service.StreamingReadFeatureValuesRequest.serialize, + response_deserializer=featurestore_online_service.ReadFeatureValuesResponse.deserialize, + ) + ) + return self._stubs["streaming_read_feature_values"] + + @property + def write_feature_values( + self, + ) -> Callable[ + [featurestore_online_service.WriteFeatureValuesRequest], + Awaitable[featurestore_online_service.WriteFeatureValuesResponse], + ]: + r"""Return a callable for the write feature values method over gRPC. + + Writes Feature values of one or more entities of an + EntityType. + The Feature values are merged into existing entities if + any. The Feature values to be written must have + timestamp within the online storage retention. + + Returns: + Callable[[~.WriteFeatureValuesRequest], + Awaitable[~.WriteFeatureValuesResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "write_feature_values" not in self._stubs: + self._stubs["write_feature_values"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.FeaturestoreOnlineServingService/WriteFeatureValues", + request_serializer=featurestore_online_service.WriteFeatureValuesRequest.serialize, + response_deserializer=featurestore_online_service.WriteFeatureValuesResponse.deserialize, + ) + return self._stubs["write_feature_values"] + + def _prep_wrapped_messages(self, client_info): + """Precompute the wrapped methods, overriding the base class method to use async wrappers.""" + self._wrapped_methods = { + self.read_feature_values: self._wrap_method( + self.read_feature_values, + default_timeout=None, + client_info=client_info, + ), + self.streaming_read_feature_values: self._wrap_method( + self.streaming_read_feature_values, + default_timeout=None, + client_info=client_info, + ), + self.write_feature_values: self._wrap_method( + self.write_feature_values, + default_timeout=None, + client_info=client_info, + ), + self.get_location: self._wrap_method( + self.get_location, + default_timeout=None, + client_info=client_info, + ), + self.list_locations: self._wrap_method( + self.list_locations, + default_timeout=None, + client_info=client_info, + ), + self.get_iam_policy: self._wrap_method( + self.get_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.set_iam_policy: self._wrap_method( + self.set_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.test_iam_permissions: self._wrap_method( + self.test_iam_permissions, + default_timeout=None, + client_info=client_info, + ), + self.cancel_operation: self._wrap_method( + self.cancel_operation, + default_timeout=None, + client_info=client_info, + ), + self.delete_operation: self._wrap_method( + self.delete_operation, + default_timeout=None, + client_info=client_info, + ), + self.get_operation: self._wrap_method( + self.get_operation, + default_timeout=None, + client_info=client_info, + ), + self.list_operations: self._wrap_method( + self.list_operations, + default_timeout=None, + client_info=client_info, + ), + self.wait_operation: self._wrap_method( + self.wait_operation, + default_timeout=None, + client_info=client_info, + ), + } + + def _wrap_method(self, func, *args, **kwargs): + if self._wrap_with_kind: # pragma: NO COVER + kwargs["kind"] = self.kind + return gapic_v1.method_async.wrap_method(func, *args, **kwargs) + + def close(self): + return self._logged_channel.close() + + @property + def kind(self) -> str: + return "grpc_asyncio" + + @property + def delete_operation( + self, + ) -> Callable[[operations_pb2.DeleteOperationRequest], None]: + r"""Return a callable for the delete_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_operation" not in self._stubs: + self._stubs["delete_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/DeleteOperation", + request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["delete_operation"] + + @property + def cancel_operation( + self, + ) -> Callable[[operations_pb2.CancelOperationRequest], None]: + r"""Return a callable for the cancel_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "cancel_operation" not in self._stubs: + self._stubs["cancel_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/CancelOperation", + request_serializer=operations_pb2.CancelOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["cancel_operation"] + + @property + def wait_operation( + self, + ) -> Callable[[operations_pb2.WaitOperationRequest], None]: + r"""Return a callable for the wait_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "wait_operation" not in self._stubs: + self._stubs["wait_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/WaitOperation", + request_serializer=operations_pb2.WaitOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["wait_operation"] + + @property + def get_operation( + self, + ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]: + r"""Return a callable for the get_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_operation" not in self._stubs: + self._stubs["get_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/GetOperation", + request_serializer=operations_pb2.GetOperationRequest.SerializeToString, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["get_operation"] + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse + ]: + r"""Return a callable for the list_operations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_operations" not in self._stubs: + self._stubs["list_operations"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/ListOperations", + request_serializer=operations_pb2.ListOperationsRequest.SerializeToString, + response_deserializer=operations_pb2.ListOperationsResponse.FromString, + ) + return self._stubs["list_operations"] + + @property + def list_locations( + self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse + ]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_locations" not in self._stubs: + self._stubs["list_locations"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/ListLocations", + request_serializer=locations_pb2.ListLocationsRequest.SerializeToString, + response_deserializer=locations_pb2.ListLocationsResponse.FromString, + ) + return self._stubs["list_locations"] + + @property + def get_location( + self, + ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_location" not in self._stubs: + self._stubs["get_location"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/GetLocation", + request_serializer=locations_pb2.GetLocationRequest.SerializeToString, + response_deserializer=locations_pb2.Location.FromString, + ) + return self._stubs["get_location"] + + @property + def set_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.SetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the set iam policy method over gRPC. + Sets the IAM access control policy on the specified + function. Replaces any existing policy. + Returns: + Callable[[~.SetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "set_iam_policy" not in self._stubs: + self._stubs["set_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/SetIamPolicy", + request_serializer=iam_policy_pb2.SetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["set_iam_policy"] + + @property + def get_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.GetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the get iam policy method over gRPC. + Gets the IAM access control policy for a function. + Returns an empty policy if the function exists and does + not have a policy set. + Returns: + Callable[[~.GetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_iam_policy" not in self._stubs: + self._stubs["get_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/GetIamPolicy", + request_serializer=iam_policy_pb2.GetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["get_iam_policy"] + + @property + def test_iam_permissions( + self, + ) -> Callable[ + [iam_policy_pb2.TestIamPermissionsRequest], + iam_policy_pb2.TestIamPermissionsResponse, + ]: + r"""Return a callable for the test iam permissions method over gRPC. + Tests the specified permissions against the IAM access control + policy for a function. If the function does not exist, this will + return an empty set of permissions, not a NOT_FOUND error. + Returns: + Callable[[~.TestIamPermissionsRequest], + ~.TestIamPermissionsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "test_iam_permissions" not in self._stubs: + self._stubs["test_iam_permissions"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/TestIamPermissions", + request_serializer=iam_policy_pb2.TestIamPermissionsRequest.SerializeToString, + response_deserializer=iam_policy_pb2.TestIamPermissionsResponse.FromString, + ) + return self._stubs["test_iam_permissions"] + + +__all__ = ("FeaturestoreOnlineServingServiceGrpcAsyncIOTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/transports/rest.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/transports/rest.py new file mode 100644 index 0000000000000000000000000000000000000000..ebf9b0d60191f6e434e723ac7cc6dd9c9a185461 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/transports/rest.py @@ -0,0 +1,2507 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging +import json # type: ignore + +from google.auth.transport.requests import AuthorizedSession # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.api_core import exceptions as core_exceptions +from google.api_core import retry as retries +from google.api_core import rest_helpers +from google.api_core import rest_streaming +from google.api_core import gapic_v1 +import google.protobuf + +from google.protobuf import json_format +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore + +from requests import __version__ as requests_version +import dataclasses +from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union +import warnings + + +from google.cloud.aiplatform_v1.types import featurestore_online_service +from google.longrunning import operations_pb2 # type: ignore + + +from .rest_base import _BaseFeaturestoreOnlineServingServiceRestTransport +from .base import DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = logging.getLogger(__name__) + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version, + grpc_version=None, + rest_version=f"requests@{requests_version}", +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +class FeaturestoreOnlineServingServiceRestInterceptor: + """Interceptor for FeaturestoreOnlineServingService. + + Interceptors are used to manipulate requests, request metadata, and responses + in arbitrary ways. + Example use cases include: + * Logging + * Verifying requests according to service or custom semantics + * Stripping extraneous information from responses + + These use cases and more can be enabled by injecting an + instance of a custom subclass when constructing the FeaturestoreOnlineServingServiceRestTransport. + + .. code-block:: python + class MyCustomFeaturestoreOnlineServingServiceInterceptor(FeaturestoreOnlineServingServiceRestInterceptor): + def pre_read_feature_values(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_read_feature_values(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_streaming_read_feature_values(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_streaming_read_feature_values(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_write_feature_values(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_write_feature_values(self, response): + logging.log(f"Received response: {response}") + return response + + transport = FeaturestoreOnlineServingServiceRestTransport(interceptor=MyCustomFeaturestoreOnlineServingServiceInterceptor()) + client = FeaturestoreOnlineServingServiceClient(transport=transport) + + + """ + + def pre_read_feature_values( + self, + request: featurestore_online_service.ReadFeatureValuesRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + featurestore_online_service.ReadFeatureValuesRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for read_feature_values + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeaturestoreOnlineServingService server. + """ + return request, metadata + + def post_read_feature_values( + self, response: featurestore_online_service.ReadFeatureValuesResponse + ) -> featurestore_online_service.ReadFeatureValuesResponse: + """Post-rpc interceptor for read_feature_values + + DEPRECATED. Please use the `post_read_feature_values_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeaturestoreOnlineServingService server but before + it is returned to user code. This `post_read_feature_values` interceptor runs + before the `post_read_feature_values_with_metadata` interceptor. + """ + return response + + def post_read_feature_values_with_metadata( + self, + response: featurestore_online_service.ReadFeatureValuesResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + featurestore_online_service.ReadFeatureValuesResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for read_feature_values + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeaturestoreOnlineServingService server but before it is returned to user code. + + We recommend only using this `post_read_feature_values_with_metadata` + interceptor in new development instead of the `post_read_feature_values` interceptor. + When both interceptors are used, this `post_read_feature_values_with_metadata` interceptor runs after the + `post_read_feature_values` interceptor. The (possibly modified) response returned by + `post_read_feature_values` will be passed to + `post_read_feature_values_with_metadata`. + """ + return response, metadata + + def pre_streaming_read_feature_values( + self, + request: featurestore_online_service.StreamingReadFeatureValuesRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + featurestore_online_service.StreamingReadFeatureValuesRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for streaming_read_feature_values + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeaturestoreOnlineServingService server. + """ + return request, metadata + + def post_streaming_read_feature_values( + self, response: rest_streaming.ResponseIterator + ) -> rest_streaming.ResponseIterator: + """Post-rpc interceptor for streaming_read_feature_values + + DEPRECATED. Please use the `post_streaming_read_feature_values_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeaturestoreOnlineServingService server but before + it is returned to user code. This `post_streaming_read_feature_values` interceptor runs + before the `post_streaming_read_feature_values_with_metadata` interceptor. + """ + return response + + def post_streaming_read_feature_values_with_metadata( + self, + response: rest_streaming.ResponseIterator, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + rest_streaming.ResponseIterator, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Post-rpc interceptor for streaming_read_feature_values + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeaturestoreOnlineServingService server but before it is returned to user code. + + We recommend only using this `post_streaming_read_feature_values_with_metadata` + interceptor in new development instead of the `post_streaming_read_feature_values` interceptor. + When both interceptors are used, this `post_streaming_read_feature_values_with_metadata` interceptor runs after the + `post_streaming_read_feature_values` interceptor. The (possibly modified) response returned by + `post_streaming_read_feature_values` will be passed to + `post_streaming_read_feature_values_with_metadata`. + """ + return response, metadata + + def pre_write_feature_values( + self, + request: featurestore_online_service.WriteFeatureValuesRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + featurestore_online_service.WriteFeatureValuesRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for write_feature_values + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeaturestoreOnlineServingService server. + """ + return request, metadata + + def post_write_feature_values( + self, response: featurestore_online_service.WriteFeatureValuesResponse + ) -> featurestore_online_service.WriteFeatureValuesResponse: + """Post-rpc interceptor for write_feature_values + + DEPRECATED. Please use the `post_write_feature_values_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeaturestoreOnlineServingService server but before + it is returned to user code. This `post_write_feature_values` interceptor runs + before the `post_write_feature_values_with_metadata` interceptor. + """ + return response + + def post_write_feature_values_with_metadata( + self, + response: featurestore_online_service.WriteFeatureValuesResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + featurestore_online_service.WriteFeatureValuesResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for write_feature_values + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeaturestoreOnlineServingService server but before it is returned to user code. + + We recommend only using this `post_write_feature_values_with_metadata` + interceptor in new development instead of the `post_write_feature_values` interceptor. + When both interceptors are used, this `post_write_feature_values_with_metadata` interceptor runs after the + `post_write_feature_values` interceptor. The (possibly modified) response returned by + `post_write_feature_values` will be passed to + `post_write_feature_values_with_metadata`. + """ + return response, metadata + + def pre_get_location( + self, + request: locations_pb2.GetLocationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.GetLocationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_location + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeaturestoreOnlineServingService server. + """ + return request, metadata + + def post_get_location( + self, response: locations_pb2.Location + ) -> locations_pb2.Location: + """Post-rpc interceptor for get_location + + Override in a subclass to manipulate the response + after it is returned by the FeaturestoreOnlineServingService server but before + it is returned to user code. + """ + return response + + def pre_list_locations( + self, + request: locations_pb2.ListLocationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.ListLocationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_locations + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeaturestoreOnlineServingService server. + """ + return request, metadata + + def post_list_locations( + self, response: locations_pb2.ListLocationsResponse + ) -> locations_pb2.ListLocationsResponse: + """Post-rpc interceptor for list_locations + + Override in a subclass to manipulate the response + after it is returned by the FeaturestoreOnlineServingService server but before + it is returned to user code. + """ + return response + + def pre_get_iam_policy( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.GetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeaturestoreOnlineServingService server. + """ + return request, metadata + + def post_get_iam_policy(self, response: policy_pb2.Policy) -> policy_pb2.Policy: + """Post-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the FeaturestoreOnlineServingService server but before + it is returned to user code. + """ + return response + + def pre_set_iam_policy( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.SetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeaturestoreOnlineServingService server. + """ + return request, metadata + + def post_set_iam_policy(self, response: policy_pb2.Policy) -> policy_pb2.Policy: + """Post-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the FeaturestoreOnlineServingService server but before + it is returned to user code. + """ + return response + + def pre_test_iam_permissions( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.TestIamPermissionsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeaturestoreOnlineServingService server. + """ + return request, metadata + + def post_test_iam_permissions( + self, response: iam_policy_pb2.TestIamPermissionsResponse + ) -> iam_policy_pb2.TestIamPermissionsResponse: + """Post-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the response + after it is returned by the FeaturestoreOnlineServingService server but before + it is returned to user code. + """ + return response + + def pre_cancel_operation( + self, + request: operations_pb2.CancelOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.CancelOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeaturestoreOnlineServingService server. + """ + return request, metadata + + def post_cancel_operation(self, response: None) -> None: + """Post-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the response + after it is returned by the FeaturestoreOnlineServingService server but before + it is returned to user code. + """ + return response + + def pre_delete_operation( + self, + request: operations_pb2.DeleteOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.DeleteOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for delete_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeaturestoreOnlineServingService server. + """ + return request, metadata + + def post_delete_operation(self, response: None) -> None: + """Post-rpc interceptor for delete_operation + + Override in a subclass to manipulate the response + after it is returned by the FeaturestoreOnlineServingService server but before + it is returned to user code. + """ + return response + + def pre_get_operation( + self, + request: operations_pb2.GetOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.GetOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeaturestoreOnlineServingService server. + """ + return request, metadata + + def post_get_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for get_operation + + Override in a subclass to manipulate the response + after it is returned by the FeaturestoreOnlineServingService server but before + it is returned to user code. + """ + return response + + def pre_list_operations( + self, + request: operations_pb2.ListOperationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.ListOperationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_operations + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeaturestoreOnlineServingService server. + """ + return request, metadata + + def post_list_operations( + self, response: operations_pb2.ListOperationsResponse + ) -> operations_pb2.ListOperationsResponse: + """Post-rpc interceptor for list_operations + + Override in a subclass to manipulate the response + after it is returned by the FeaturestoreOnlineServingService server but before + it is returned to user code. + """ + return response + + def pre_wait_operation( + self, + request: operations_pb2.WaitOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.WaitOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for wait_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeaturestoreOnlineServingService server. + """ + return request, metadata + + def post_wait_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for wait_operation + + Override in a subclass to manipulate the response + after it is returned by the FeaturestoreOnlineServingService server but before + it is returned to user code. + """ + return response + + +@dataclasses.dataclass +class FeaturestoreOnlineServingServiceRestStub: + _session: AuthorizedSession + _host: str + _interceptor: FeaturestoreOnlineServingServiceRestInterceptor + + +class FeaturestoreOnlineServingServiceRestTransport( + _BaseFeaturestoreOnlineServingServiceRestTransport +): + """REST backend synchronous transport for FeaturestoreOnlineServingService. + + A service for serving online feature values. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + """ + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + url_scheme: str = "https", + interceptor: Optional[FeaturestoreOnlineServingServiceRestInterceptor] = None, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. This argument will be + removed in the next major version of this library. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if ``channel`` is provided. + client_cert_source_for_mtls (Callable[[], Tuple[bytes, bytes]]): Client + certificate to configure mutual TLS HTTP channel. It is ignored + if ``channel`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + url_scheme: the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + # TODO(yon-mg): resolve other ctor params i.e. scopes, quota, etc. + # TODO: When custom host (api_endpoint) is set, `scopes` must *also* be set on the + # credentials object + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + url_scheme=url_scheme, + api_audience=api_audience, + ) + self._session = AuthorizedSession( + self._credentials, default_host=self.DEFAULT_HOST + ) + if client_cert_source_for_mtls: + self._session.configure_mtls_channel(client_cert_source_for_mtls) + self._interceptor = ( + interceptor or FeaturestoreOnlineServingServiceRestInterceptor() + ) + self._prep_wrapped_messages(client_info) + + class _ReadFeatureValues( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseReadFeatureValues, + FeaturestoreOnlineServingServiceRestStub, + ): + def __hash__(self): + return hash( + "FeaturestoreOnlineServingServiceRestTransport.ReadFeatureValues" + ) + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: featurestore_online_service.ReadFeatureValuesRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> featurestore_online_service.ReadFeatureValuesResponse: + r"""Call the read feature values method over HTTP. + + Args: + request (~.featurestore_online_service.ReadFeatureValuesRequest): + The request object. Request message for + [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.featurestore_online_service.ReadFeatureValuesResponse: + Response message for + [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues]. + + """ + + http_options = ( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseReadFeatureValues._get_http_options() + ) + + request, metadata = self._interceptor.pre_read_feature_values( + request, metadata + ) + transcoded_request = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseReadFeatureValues._get_transcoded_request( + http_options, request + ) + + body = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseReadFeatureValues._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseReadFeatureValues._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.ReadFeatureValues", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "ReadFeatureValues", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeaturestoreOnlineServingServiceRestTransport._ReadFeatureValues._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = featurestore_online_service.ReadFeatureValuesResponse() + pb_resp = featurestore_online_service.ReadFeatureValuesResponse.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_read_feature_values(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_read_feature_values_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = ( + featurestore_online_service.ReadFeatureValuesResponse.to_json( + response + ) + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.read_feature_values", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "ReadFeatureValues", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _StreamingReadFeatureValues( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseStreamingReadFeatureValues, + FeaturestoreOnlineServingServiceRestStub, + ): + def __hash__(self): + return hash( + "FeaturestoreOnlineServingServiceRestTransport.StreamingReadFeatureValues" + ) + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + stream=True, + ) + return response + + def __call__( + self, + request: featurestore_online_service.StreamingReadFeatureValuesRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> rest_streaming.ResponseIterator: + r"""Call the streaming read feature + values method over HTTP. + + Args: + request (~.featurestore_online_service.StreamingReadFeatureValuesRequest): + The request object. Request message for + [FeaturestoreOnlineServingService.StreamingReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.StreamingReadFeatureValues]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.featurestore_online_service.ReadFeatureValuesResponse: + Response message for + [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues]. + + """ + + http_options = ( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseStreamingReadFeatureValues._get_http_options() + ) + + request, metadata = self._interceptor.pre_streaming_read_feature_values( + request, metadata + ) + transcoded_request = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseStreamingReadFeatureValues._get_transcoded_request( + http_options, request + ) + + body = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseStreamingReadFeatureValues._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseStreamingReadFeatureValues._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.StreamingReadFeatureValues", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "StreamingReadFeatureValues", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeaturestoreOnlineServingServiceRestTransport._StreamingReadFeatureValues._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = rest_streaming.ResponseIterator( + response, featurestore_online_service.ReadFeatureValuesResponse + ) + + resp = self._interceptor.post_streaming_read_feature_values(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = ( + self._interceptor.post_streaming_read_feature_values_with_metadata( + resp, response_metadata + ) + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + http_response = { + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.streaming_read_feature_values", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "StreamingReadFeatureValues", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _WriteFeatureValues( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseWriteFeatureValues, + FeaturestoreOnlineServingServiceRestStub, + ): + def __hash__(self): + return hash( + "FeaturestoreOnlineServingServiceRestTransport.WriteFeatureValues" + ) + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: featurestore_online_service.WriteFeatureValuesRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> featurestore_online_service.WriteFeatureValuesResponse: + r"""Call the write feature values method over HTTP. + + Args: + request (~.featurestore_online_service.WriteFeatureValuesRequest): + The request object. Request message for + [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.featurestore_online_service.WriteFeatureValuesResponse: + Response message for + [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues]. + + """ + + http_options = ( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseWriteFeatureValues._get_http_options() + ) + + request, metadata = self._interceptor.pre_write_feature_values( + request, metadata + ) + transcoded_request = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseWriteFeatureValues._get_transcoded_request( + http_options, request + ) + + body = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseWriteFeatureValues._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseWriteFeatureValues._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.WriteFeatureValues", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "WriteFeatureValues", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeaturestoreOnlineServingServiceRestTransport._WriteFeatureValues._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = featurestore_online_service.WriteFeatureValuesResponse() + pb_resp = featurestore_online_service.WriteFeatureValuesResponse.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_write_feature_values(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_write_feature_values_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = ( + featurestore_online_service.WriteFeatureValuesResponse.to_json( + response + ) + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.write_feature_values", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "WriteFeatureValues", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + @property + def read_feature_values( + self, + ) -> Callable[ + [featurestore_online_service.ReadFeatureValuesRequest], + featurestore_online_service.ReadFeatureValuesResponse, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._ReadFeatureValues(self._session, self._host, self._interceptor) # type: ignore + + @property + def streaming_read_feature_values( + self, + ) -> Callable[ + [featurestore_online_service.StreamingReadFeatureValuesRequest], + featurestore_online_service.ReadFeatureValuesResponse, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._StreamingReadFeatureValues(self._session, self._host, self._interceptor) # type: ignore + + @property + def write_feature_values( + self, + ) -> Callable[ + [featurestore_online_service.WriteFeatureValuesRequest], + featurestore_online_service.WriteFeatureValuesResponse, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._WriteFeatureValues(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_location(self): + return self._GetLocation(self._session, self._host, self._interceptor) # type: ignore + + class _GetLocation( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseGetLocation, + FeaturestoreOnlineServingServiceRestStub, + ): + def __hash__(self): + return hash("FeaturestoreOnlineServingServiceRestTransport.GetLocation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: locations_pb2.GetLocationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Call the get location method over HTTP. + + Args: + request (locations_pb2.GetLocationRequest): + The request object for GetLocation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.Location: Response from GetLocation method. + """ + + http_options = ( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseGetLocation._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_location(request, metadata) + transcoded_request = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseGetLocation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseGetLocation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "GetLocation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeaturestoreOnlineServingServiceRestTransport._GetLocation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = locations_pb2.Location() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_get_location(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceAsyncClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "GetLocation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_locations(self): + return self._ListLocations(self._session, self._host, self._interceptor) # type: ignore + + class _ListLocations( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseListLocations, + FeaturestoreOnlineServingServiceRestStub, + ): + def __hash__(self): + return hash("FeaturestoreOnlineServingServiceRestTransport.ListLocations") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: locations_pb2.ListLocationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Call the list locations method over HTTP. + + Args: + request (locations_pb2.ListLocationsRequest): + The request object for ListLocations method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.ListLocationsResponse: Response from ListLocations method. + """ + + http_options = ( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseListLocations._get_http_options() + ) + + request, metadata = self._interceptor.pre_list_locations(request, metadata) + transcoded_request = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseListLocations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseListLocations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "ListLocations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeaturestoreOnlineServingServiceRestTransport._ListLocations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = locations_pb2.ListLocationsResponse() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_list_locations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceAsyncClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "ListLocations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def get_iam_policy(self): + return self._GetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _GetIamPolicy( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseGetIamPolicy, + FeaturestoreOnlineServingServiceRestStub, + ): + def __hash__(self): + return hash("FeaturestoreOnlineServingServiceRestTransport.GetIamPolicy") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the get iam policy method over HTTP. + + Args: + request (iam_policy_pb2.GetIamPolicyRequest): + The request object for GetIamPolicy method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from GetIamPolicy method. + """ + + http_options = ( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseGetIamPolicy._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_iam_policy(request, metadata) + transcoded_request = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseGetIamPolicy._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseGetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "GetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeaturestoreOnlineServingServiceRestTransport._GetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_get_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceAsyncClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "GetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def set_iam_policy(self): + return self._SetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _SetIamPolicy( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseSetIamPolicy, + FeaturestoreOnlineServingServiceRestStub, + ): + def __hash__(self): + return hash("FeaturestoreOnlineServingServiceRestTransport.SetIamPolicy") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the set iam policy method over HTTP. + + Args: + request (iam_policy_pb2.SetIamPolicyRequest): + The request object for SetIamPolicy method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from SetIamPolicy method. + """ + + http_options = ( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseSetIamPolicy._get_http_options() + ) + + request, metadata = self._interceptor.pre_set_iam_policy(request, metadata) + transcoded_request = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseSetIamPolicy._get_transcoded_request( + http_options, request + ) + + body = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseSetIamPolicy._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseSetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "SetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeaturestoreOnlineServingServiceRestTransport._SetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_set_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceAsyncClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "SetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def test_iam_permissions(self): + return self._TestIamPermissions(self._session, self._host, self._interceptor) # type: ignore + + class _TestIamPermissions( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseTestIamPermissions, + FeaturestoreOnlineServingServiceRestStub, + ): + def __hash__(self): + return hash( + "FeaturestoreOnlineServingServiceRestTransport.TestIamPermissions" + ) + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Call the test iam permissions method over HTTP. + + Args: + request (iam_policy_pb2.TestIamPermissionsRequest): + The request object for TestIamPermissions method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + iam_policy_pb2.TestIamPermissionsResponse: Response from TestIamPermissions method. + """ + + http_options = ( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseTestIamPermissions._get_http_options() + ) + + request, metadata = self._interceptor.pre_test_iam_permissions( + request, metadata + ) + transcoded_request = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseTestIamPermissions._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseTestIamPermissions._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "TestIamPermissions", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeaturestoreOnlineServingServiceRestTransport._TestIamPermissions._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = iam_policy_pb2.TestIamPermissionsResponse() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_test_iam_permissions(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceAsyncClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "TestIamPermissions", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def cancel_operation(self): + return self._CancelOperation(self._session, self._host, self._interceptor) # type: ignore + + class _CancelOperation( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseCancelOperation, + FeaturestoreOnlineServingServiceRestStub, + ): + def __hash__(self): + return hash("FeaturestoreOnlineServingServiceRestTransport.CancelOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.CancelOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the cancel operation method over HTTP. + + Args: + request (operations_pb2.CancelOperationRequest): + The request object for CancelOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseCancelOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_cancel_operation( + request, metadata + ) + transcoded_request = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseCancelOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseCancelOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.CancelOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "CancelOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeaturestoreOnlineServingServiceRestTransport._CancelOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + return self._interceptor.post_cancel_operation(None) + + @property + def delete_operation(self): + return self._DeleteOperation(self._session, self._host, self._interceptor) # type: ignore + + class _DeleteOperation( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseDeleteOperation, + FeaturestoreOnlineServingServiceRestStub, + ): + def __hash__(self): + return hash("FeaturestoreOnlineServingServiceRestTransport.DeleteOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.DeleteOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the delete operation method over HTTP. + + Args: + request (operations_pb2.DeleteOperationRequest): + The request object for DeleteOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseDeleteOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_delete_operation( + request, metadata + ) + transcoded_request = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseDeleteOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseDeleteOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.DeleteOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "DeleteOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeaturestoreOnlineServingServiceRestTransport._DeleteOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + return self._interceptor.post_delete_operation(None) + + @property + def get_operation(self): + return self._GetOperation(self._session, self._host, self._interceptor) # type: ignore + + class _GetOperation( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseGetOperation, + FeaturestoreOnlineServingServiceRestStub, + ): + def __hash__(self): + return hash("FeaturestoreOnlineServingServiceRestTransport.GetOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.GetOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the get operation method over HTTP. + + Args: + request (operations_pb2.GetOperationRequest): + The request object for GetOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from GetOperation method. + """ + + http_options = ( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseGetOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_operation(request, metadata) + transcoded_request = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseGetOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseGetOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "GetOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeaturestoreOnlineServingServiceRestTransport._GetOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_get_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceAsyncClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "GetOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_operations(self): + return self._ListOperations(self._session, self._host, self._interceptor) # type: ignore + + class _ListOperations( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseListOperations, + FeaturestoreOnlineServingServiceRestStub, + ): + def __hash__(self): + return hash("FeaturestoreOnlineServingServiceRestTransport.ListOperations") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.ListOperationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Call the list operations method over HTTP. + + Args: + request (operations_pb2.ListOperationsRequest): + The request object for ListOperations method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.ListOperationsResponse: Response from ListOperations method. + """ + + http_options = ( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseListOperations._get_http_options() + ) + + request, metadata = self._interceptor.pre_list_operations(request, metadata) + transcoded_request = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseListOperations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseListOperations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "ListOperations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeaturestoreOnlineServingServiceRestTransport._ListOperations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = operations_pb2.ListOperationsResponse() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_list_operations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceAsyncClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "ListOperations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def wait_operation(self): + return self._WaitOperation(self._session, self._host, self._interceptor) # type: ignore + + class _WaitOperation( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseWaitOperation, + FeaturestoreOnlineServingServiceRestStub, + ): + def __hash__(self): + return hash("FeaturestoreOnlineServingServiceRestTransport.WaitOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.WaitOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the wait operation method over HTTP. + + Args: + request (operations_pb2.WaitOperationRequest): + The request object for WaitOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from WaitOperation method. + """ + + http_options = ( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseWaitOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_wait_operation(request, metadata) + transcoded_request = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseWaitOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseWaitOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "WaitOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = FeaturestoreOnlineServingServiceRestTransport._WaitOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_wait_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceAsyncClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "WaitOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def kind(self) -> str: + return "rest" + + def close(self): + self._session.close() + + +__all__ = ("FeaturestoreOnlineServingServiceRestTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/transports/rest_asyncio.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/transports/rest_asyncio.py new file mode 100644 index 0000000000000000000000000000000000000000..98d0566dccf2163fa1e2cec736640095b82e3bb6 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/transports/rest_asyncio.py @@ -0,0 +1,2681 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +import google.auth + +try: + import aiohttp # type: ignore + from google.auth.aio.transport.sessions import AsyncAuthorizedSession # type: ignore + from google.api_core import rest_streaming_async # type: ignore + from google.api_core.operations_v1 import AsyncOperationsRestClient # type: ignore +except ImportError as e: # pragma: NO COVER + raise ImportError( + "`rest_asyncio` transport requires the library to be installed with the `async_rest` extra. Install the library with the `async_rest` extra using `pip install google-cloud-aiplatform[async_rest]`" + ) from e + +from google.auth.aio import credentials as ga_credentials_async # type: ignore + +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore +from google.api_core import retry_async as retries +from google.api_core import rest_helpers +from google.api_core import rest_streaming_async # type: ignore +import google.protobuf + +from google.protobuf import json_format +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore + +import json # type: ignore +import dataclasses +from typing import Any, Dict, List, Callable, Tuple, Optional, Sequence, Union + + +from google.cloud.aiplatform_v1.types import featurestore_online_service +from google.longrunning import operations_pb2 # type: ignore + + +from .rest_base import _BaseFeaturestoreOnlineServingServiceRestTransport + +from .base import DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO + + +import logging + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = logging.getLogger(__name__) + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version, + grpc_version=None, + rest_version=f"google-auth@{google.auth.__version__}", +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +class AsyncFeaturestoreOnlineServingServiceRestInterceptor: + """Asynchronous Interceptor for FeaturestoreOnlineServingService. + + Interceptors are used to manipulate requests, request metadata, and responses + in arbitrary ways. + Example use cases include: + * Logging + * Verifying requests according to service or custom semantics + * Stripping extraneous information from responses + + These use cases and more can be enabled by injecting an + instance of a custom subclass when constructing the AsyncFeaturestoreOnlineServingServiceRestTransport. + + .. code-block:: python + class MyCustomFeaturestoreOnlineServingServiceInterceptor(FeaturestoreOnlineServingServiceRestInterceptor): + async def pre_read_feature_values(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_read_feature_values(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_streaming_read_feature_values(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_streaming_read_feature_values(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_write_feature_values(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_write_feature_values(self, response): + logging.log(f"Received response: {response}") + return response + + transport = AsyncFeaturestoreOnlineServingServiceRestTransport(interceptor=MyCustomFeaturestoreOnlineServingServiceInterceptor()) + client = async FeaturestoreOnlineServingServiceClient(transport=transport) + + + """ + + async def pre_read_feature_values( + self, + request: featurestore_online_service.ReadFeatureValuesRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + featurestore_online_service.ReadFeatureValuesRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for read_feature_values + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeaturestoreOnlineServingService server. + """ + return request, metadata + + async def post_read_feature_values( + self, response: featurestore_online_service.ReadFeatureValuesResponse + ) -> featurestore_online_service.ReadFeatureValuesResponse: + """Post-rpc interceptor for read_feature_values + + DEPRECATED. Please use the `post_read_feature_values_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeaturestoreOnlineServingService server but before + it is returned to user code. This `post_read_feature_values` interceptor runs + before the `post_read_feature_values_with_metadata` interceptor. + """ + return response + + async def post_read_feature_values_with_metadata( + self, + response: featurestore_online_service.ReadFeatureValuesResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + featurestore_online_service.ReadFeatureValuesResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for read_feature_values + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeaturestoreOnlineServingService server but before it is returned to user code. + + We recommend only using this `post_read_feature_values_with_metadata` + interceptor in new development instead of the `post_read_feature_values` interceptor. + When both interceptors are used, this `post_read_feature_values_with_metadata` interceptor runs after the + `post_read_feature_values` interceptor. The (possibly modified) response returned by + `post_read_feature_values` will be passed to + `post_read_feature_values_with_metadata`. + """ + return response, metadata + + async def pre_streaming_read_feature_values( + self, + request: featurestore_online_service.StreamingReadFeatureValuesRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + featurestore_online_service.StreamingReadFeatureValuesRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for streaming_read_feature_values + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeaturestoreOnlineServingService server. + """ + return request, metadata + + async def post_streaming_read_feature_values( + self, response: rest_streaming_async.AsyncResponseIterator + ) -> rest_streaming_async.AsyncResponseIterator: + """Post-rpc interceptor for streaming_read_feature_values + + DEPRECATED. Please use the `post_streaming_read_feature_values_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeaturestoreOnlineServingService server but before + it is returned to user code. This `post_streaming_read_feature_values` interceptor runs + before the `post_streaming_read_feature_values_with_metadata` interceptor. + """ + return response + + async def post_streaming_read_feature_values_with_metadata( + self, + response: rest_streaming_async.AsyncResponseIterator, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + rest_streaming_async.AsyncResponseIterator, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for streaming_read_feature_values + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeaturestoreOnlineServingService server but before it is returned to user code. + + We recommend only using this `post_streaming_read_feature_values_with_metadata` + interceptor in new development instead of the `post_streaming_read_feature_values` interceptor. + When both interceptors are used, this `post_streaming_read_feature_values_with_metadata` interceptor runs after the + `post_streaming_read_feature_values` interceptor. The (possibly modified) response returned by + `post_streaming_read_feature_values` will be passed to + `post_streaming_read_feature_values_with_metadata`. + """ + return response, metadata + + async def pre_write_feature_values( + self, + request: featurestore_online_service.WriteFeatureValuesRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + featurestore_online_service.WriteFeatureValuesRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for write_feature_values + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeaturestoreOnlineServingService server. + """ + return request, metadata + + async def post_write_feature_values( + self, response: featurestore_online_service.WriteFeatureValuesResponse + ) -> featurestore_online_service.WriteFeatureValuesResponse: + """Post-rpc interceptor for write_feature_values + + DEPRECATED. Please use the `post_write_feature_values_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the FeaturestoreOnlineServingService server but before + it is returned to user code. This `post_write_feature_values` interceptor runs + before the `post_write_feature_values_with_metadata` interceptor. + """ + return response + + async def post_write_feature_values_with_metadata( + self, + response: featurestore_online_service.WriteFeatureValuesResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + featurestore_online_service.WriteFeatureValuesResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for write_feature_values + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the FeaturestoreOnlineServingService server but before it is returned to user code. + + We recommend only using this `post_write_feature_values_with_metadata` + interceptor in new development instead of the `post_write_feature_values` interceptor. + When both interceptors are used, this `post_write_feature_values_with_metadata` interceptor runs after the + `post_write_feature_values` interceptor. The (possibly modified) response returned by + `post_write_feature_values` will be passed to + `post_write_feature_values_with_metadata`. + """ + return response, metadata + + async def pre_get_location( + self, + request: locations_pb2.GetLocationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.GetLocationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_location + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeaturestoreOnlineServingService server. + """ + return request, metadata + + async def post_get_location( + self, response: locations_pb2.Location + ) -> locations_pb2.Location: + """Post-rpc interceptor for get_location + + Override in a subclass to manipulate the response + after it is returned by the FeaturestoreOnlineServingService server but before + it is returned to user code. + """ + return response + + async def pre_list_locations( + self, + request: locations_pb2.ListLocationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.ListLocationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_locations + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeaturestoreOnlineServingService server. + """ + return request, metadata + + async def post_list_locations( + self, response: locations_pb2.ListLocationsResponse + ) -> locations_pb2.ListLocationsResponse: + """Post-rpc interceptor for list_locations + + Override in a subclass to manipulate the response + after it is returned by the FeaturestoreOnlineServingService server but before + it is returned to user code. + """ + return response + + async def pre_get_iam_policy( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.GetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeaturestoreOnlineServingService server. + """ + return request, metadata + + async def post_get_iam_policy( + self, response: policy_pb2.Policy + ) -> policy_pb2.Policy: + """Post-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the FeaturestoreOnlineServingService server but before + it is returned to user code. + """ + return response + + async def pre_set_iam_policy( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.SetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeaturestoreOnlineServingService server. + """ + return request, metadata + + async def post_set_iam_policy( + self, response: policy_pb2.Policy + ) -> policy_pb2.Policy: + """Post-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the FeaturestoreOnlineServingService server but before + it is returned to user code. + """ + return response + + async def pre_test_iam_permissions( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.TestIamPermissionsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeaturestoreOnlineServingService server. + """ + return request, metadata + + async def post_test_iam_permissions( + self, response: iam_policy_pb2.TestIamPermissionsResponse + ) -> iam_policy_pb2.TestIamPermissionsResponse: + """Post-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the response + after it is returned by the FeaturestoreOnlineServingService server but before + it is returned to user code. + """ + return response + + async def pre_cancel_operation( + self, + request: operations_pb2.CancelOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.CancelOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeaturestoreOnlineServingService server. + """ + return request, metadata + + async def post_cancel_operation(self, response: None) -> None: + """Post-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the response + after it is returned by the FeaturestoreOnlineServingService server but before + it is returned to user code. + """ + return response + + async def pre_delete_operation( + self, + request: operations_pb2.DeleteOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.DeleteOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for delete_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeaturestoreOnlineServingService server. + """ + return request, metadata + + async def post_delete_operation(self, response: None) -> None: + """Post-rpc interceptor for delete_operation + + Override in a subclass to manipulate the response + after it is returned by the FeaturestoreOnlineServingService server but before + it is returned to user code. + """ + return response + + async def pre_get_operation( + self, + request: operations_pb2.GetOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.GetOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeaturestoreOnlineServingService server. + """ + return request, metadata + + async def post_get_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for get_operation + + Override in a subclass to manipulate the response + after it is returned by the FeaturestoreOnlineServingService server but before + it is returned to user code. + """ + return response + + async def pre_list_operations( + self, + request: operations_pb2.ListOperationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.ListOperationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_operations + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeaturestoreOnlineServingService server. + """ + return request, metadata + + async def post_list_operations( + self, response: operations_pb2.ListOperationsResponse + ) -> operations_pb2.ListOperationsResponse: + """Post-rpc interceptor for list_operations + + Override in a subclass to manipulate the response + after it is returned by the FeaturestoreOnlineServingService server but before + it is returned to user code. + """ + return response + + async def pre_wait_operation( + self, + request: operations_pb2.WaitOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.WaitOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for wait_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the FeaturestoreOnlineServingService server. + """ + return request, metadata + + async def post_wait_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for wait_operation + + Override in a subclass to manipulate the response + after it is returned by the FeaturestoreOnlineServingService server but before + it is returned to user code. + """ + return response + + +@dataclasses.dataclass +class AsyncFeaturestoreOnlineServingServiceRestStub: + _session: AsyncAuthorizedSession + _host: str + _interceptor: AsyncFeaturestoreOnlineServingServiceRestInterceptor + + +class AsyncFeaturestoreOnlineServingServiceRestTransport( + _BaseFeaturestoreOnlineServingServiceRestTransport +): + """Asynchronous REST backend transport for FeaturestoreOnlineServingService. + + A service for serving online feature values. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + """ + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials_async.Credentials] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + url_scheme: str = "https", + interceptor: Optional[ + AsyncFeaturestoreOnlineServingServiceRestInterceptor + ] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.aio.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + url_scheme (str): the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=False, + url_scheme=url_scheme, + api_audience=None, + ) + self._session = AsyncAuthorizedSession(self._credentials) # type: ignore + self._interceptor = ( + interceptor or AsyncFeaturestoreOnlineServingServiceRestInterceptor() + ) + self._wrap_with_kind = True + self._prep_wrapped_messages(client_info) + + def _prep_wrapped_messages(self, client_info): + """Precompute the wrapped methods, overriding the base class method to use async wrappers.""" + self._wrapped_methods = { + self.read_feature_values: self._wrap_method( + self.read_feature_values, + default_timeout=None, + client_info=client_info, + ), + self.streaming_read_feature_values: self._wrap_method( + self.streaming_read_feature_values, + default_timeout=None, + client_info=client_info, + ), + self.write_feature_values: self._wrap_method( + self.write_feature_values, + default_timeout=None, + client_info=client_info, + ), + self.get_location: self._wrap_method( + self.get_location, + default_timeout=None, + client_info=client_info, + ), + self.list_locations: self._wrap_method( + self.list_locations, + default_timeout=None, + client_info=client_info, + ), + self.get_iam_policy: self._wrap_method( + self.get_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.set_iam_policy: self._wrap_method( + self.set_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.test_iam_permissions: self._wrap_method( + self.test_iam_permissions, + default_timeout=None, + client_info=client_info, + ), + self.cancel_operation: self._wrap_method( + self.cancel_operation, + default_timeout=None, + client_info=client_info, + ), + self.delete_operation: self._wrap_method( + self.delete_operation, + default_timeout=None, + client_info=client_info, + ), + self.get_operation: self._wrap_method( + self.get_operation, + default_timeout=None, + client_info=client_info, + ), + self.list_operations: self._wrap_method( + self.list_operations, + default_timeout=None, + client_info=client_info, + ), + self.wait_operation: self._wrap_method( + self.wait_operation, + default_timeout=None, + client_info=client_info, + ), + } + + def _wrap_method(self, func, *args, **kwargs): + if self._wrap_with_kind: # pragma: NO COVER + kwargs["kind"] = self.kind + return gapic_v1.method_async.wrap_method(func, *args, **kwargs) + + class _ReadFeatureValues( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseReadFeatureValues, + AsyncFeaturestoreOnlineServingServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeaturestoreOnlineServingServiceRestTransport.ReadFeatureValues" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: featurestore_online_service.ReadFeatureValuesRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> featurestore_online_service.ReadFeatureValuesResponse: + r"""Call the read feature values method over HTTP. + + Args: + request (~.featurestore_online_service.ReadFeatureValuesRequest): + The request object. Request message for + [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.featurestore_online_service.ReadFeatureValuesResponse: + Response message for + [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues]. + + """ + + http_options = ( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseReadFeatureValues._get_http_options() + ) + + request, metadata = await self._interceptor.pre_read_feature_values( + request, metadata + ) + transcoded_request = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseReadFeatureValues._get_transcoded_request( + http_options, request + ) + + body = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseReadFeatureValues._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseReadFeatureValues._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.ReadFeatureValues", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "ReadFeatureValues", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeaturestoreOnlineServingServiceRestTransport._ReadFeatureValues._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = featurestore_online_service.ReadFeatureValuesResponse() + pb_resp = featurestore_online_service.ReadFeatureValuesResponse.pb(resp) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_read_feature_values(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_read_feature_values_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = ( + featurestore_online_service.ReadFeatureValuesResponse.to_json( + response + ) + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceAsyncClient.read_feature_values", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "ReadFeatureValues", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _StreamingReadFeatureValues( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseStreamingReadFeatureValues, + AsyncFeaturestoreOnlineServingServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeaturestoreOnlineServingServiceRestTransport.StreamingReadFeatureValues" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: featurestore_online_service.StreamingReadFeatureValuesRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> rest_streaming_async.AsyncResponseIterator: + r"""Call the streaming read feature + values method over HTTP. + + Args: + request (~.featurestore_online_service.StreamingReadFeatureValuesRequest): + The request object. Request message for + [FeaturestoreOnlineServingService.StreamingReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.StreamingReadFeatureValues]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.featurestore_online_service.ReadFeatureValuesResponse: + Response message for + [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues]. + + """ + + http_options = ( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseStreamingReadFeatureValues._get_http_options() + ) + + request, metadata = ( + await self._interceptor.pre_streaming_read_feature_values( + request, metadata + ) + ) + transcoded_request = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseStreamingReadFeatureValues._get_transcoded_request( + http_options, request + ) + + body = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseStreamingReadFeatureValues._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseStreamingReadFeatureValues._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.StreamingReadFeatureValues", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "StreamingReadFeatureValues", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeaturestoreOnlineServingServiceRestTransport._StreamingReadFeatureValues._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = rest_streaming_async.AsyncResponseIterator( + response, featurestore_online_service.ReadFeatureValuesResponse + ) + resp = await self._interceptor.post_streaming_read_feature_values(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = ( + await self._interceptor.post_streaming_read_feature_values_with_metadata( + resp, response_metadata + ) + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + http_response = { + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceAsyncClient.streaming_read_feature_values", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "StreamingReadFeatureValues", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _WriteFeatureValues( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseWriteFeatureValues, + AsyncFeaturestoreOnlineServingServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeaturestoreOnlineServingServiceRestTransport.WriteFeatureValues" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: featurestore_online_service.WriteFeatureValuesRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> featurestore_online_service.WriteFeatureValuesResponse: + r"""Call the write feature values method over HTTP. + + Args: + request (~.featurestore_online_service.WriteFeatureValuesRequest): + The request object. Request message for + [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.featurestore_online_service.WriteFeatureValuesResponse: + Response message for + [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues]. + + """ + + http_options = ( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseWriteFeatureValues._get_http_options() + ) + + request, metadata = await self._interceptor.pre_write_feature_values( + request, metadata + ) + transcoded_request = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseWriteFeatureValues._get_transcoded_request( + http_options, request + ) + + body = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseWriteFeatureValues._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseWriteFeatureValues._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.WriteFeatureValues", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "WriteFeatureValues", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeaturestoreOnlineServingServiceRestTransport._WriteFeatureValues._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = featurestore_online_service.WriteFeatureValuesResponse() + pb_resp = featurestore_online_service.WriteFeatureValuesResponse.pb(resp) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_write_feature_values(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_write_feature_values_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = ( + featurestore_online_service.WriteFeatureValuesResponse.to_json( + response + ) + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceAsyncClient.write_feature_values", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "WriteFeatureValues", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + @property + def read_feature_values( + self, + ) -> Callable[ + [featurestore_online_service.ReadFeatureValuesRequest], + featurestore_online_service.ReadFeatureValuesResponse, + ]: + return self._ReadFeatureValues(self._session, self._host, self._interceptor) # type: ignore + + @property + def streaming_read_feature_values( + self, + ) -> Callable[ + [featurestore_online_service.StreamingReadFeatureValuesRequest], + featurestore_online_service.ReadFeatureValuesResponse, + ]: + return self._StreamingReadFeatureValues(self._session, self._host, self._interceptor) # type: ignore + + @property + def write_feature_values( + self, + ) -> Callable[ + [featurestore_online_service.WriteFeatureValuesRequest], + featurestore_online_service.WriteFeatureValuesResponse, + ]: + return self._WriteFeatureValues(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_location(self): + return self._GetLocation(self._session, self._host, self._interceptor) # type: ignore + + class _GetLocation( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseGetLocation, + AsyncFeaturestoreOnlineServingServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeaturestoreOnlineServingServiceRestTransport.GetLocation" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: locations_pb2.GetLocationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Call the get location method over HTTP. + + Args: + request (locations_pb2.GetLocationRequest): + The request object for GetLocation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.Location: Response from GetLocation method. + """ + + http_options = ( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseGetLocation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_location( + request, metadata + ) + transcoded_request = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseGetLocation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseGetLocation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "GetLocation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeaturestoreOnlineServingServiceRestTransport._GetLocation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = locations_pb2.Location() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_get_location(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceAsyncClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "GetLocation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_locations(self): + return self._ListLocations(self._session, self._host, self._interceptor) # type: ignore + + class _ListLocations( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseListLocations, + AsyncFeaturestoreOnlineServingServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeaturestoreOnlineServingServiceRestTransport.ListLocations" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: locations_pb2.ListLocationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Call the list locations method over HTTP. + + Args: + request (locations_pb2.ListLocationsRequest): + The request object for ListLocations method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.ListLocationsResponse: Response from ListLocations method. + """ + + http_options = ( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseListLocations._get_http_options() + ) + + request, metadata = await self._interceptor.pre_list_locations( + request, metadata + ) + transcoded_request = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseListLocations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseListLocations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "ListLocations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeaturestoreOnlineServingServiceRestTransport._ListLocations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = locations_pb2.ListLocationsResponse() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_list_locations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceAsyncClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "ListLocations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def get_iam_policy(self): + return self._GetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _GetIamPolicy( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseGetIamPolicy, + AsyncFeaturestoreOnlineServingServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeaturestoreOnlineServingServiceRestTransport.GetIamPolicy" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the get iam policy method over HTTP. + + Args: + request (iam_policy_pb2.GetIamPolicyRequest): + The request object for GetIamPolicy method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from GetIamPolicy method. + """ + + http_options = ( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseGetIamPolicy._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_iam_policy( + request, metadata + ) + transcoded_request = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseGetIamPolicy._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseGetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "GetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeaturestoreOnlineServingServiceRestTransport._GetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_get_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceAsyncClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "GetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def set_iam_policy(self): + return self._SetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _SetIamPolicy( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseSetIamPolicy, + AsyncFeaturestoreOnlineServingServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeaturestoreOnlineServingServiceRestTransport.SetIamPolicy" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the set iam policy method over HTTP. + + Args: + request (iam_policy_pb2.SetIamPolicyRequest): + The request object for SetIamPolicy method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from SetIamPolicy method. + """ + + http_options = ( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseSetIamPolicy._get_http_options() + ) + + request, metadata = await self._interceptor.pre_set_iam_policy( + request, metadata + ) + transcoded_request = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseSetIamPolicy._get_transcoded_request( + http_options, request + ) + + body = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseSetIamPolicy._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseSetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "SetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeaturestoreOnlineServingServiceRestTransport._SetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_set_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceAsyncClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "SetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def test_iam_permissions(self): + return self._TestIamPermissions(self._session, self._host, self._interceptor) # type: ignore + + class _TestIamPermissions( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseTestIamPermissions, + AsyncFeaturestoreOnlineServingServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeaturestoreOnlineServingServiceRestTransport.TestIamPermissions" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Call the test iam permissions method over HTTP. + + Args: + request (iam_policy_pb2.TestIamPermissionsRequest): + The request object for TestIamPermissions method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + iam_policy_pb2.TestIamPermissionsResponse: Response from TestIamPermissions method. + """ + + http_options = ( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseTestIamPermissions._get_http_options() + ) + + request, metadata = await self._interceptor.pre_test_iam_permissions( + request, metadata + ) + transcoded_request = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseTestIamPermissions._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseTestIamPermissions._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "TestIamPermissions", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeaturestoreOnlineServingServiceRestTransport._TestIamPermissions._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = iam_policy_pb2.TestIamPermissionsResponse() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_test_iam_permissions(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceAsyncClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "TestIamPermissions", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def cancel_operation(self): + return self._CancelOperation(self._session, self._host, self._interceptor) # type: ignore + + class _CancelOperation( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseCancelOperation, + AsyncFeaturestoreOnlineServingServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeaturestoreOnlineServingServiceRestTransport.CancelOperation" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.CancelOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the cancel operation method over HTTP. + + Args: + request (operations_pb2.CancelOperationRequest): + The request object for CancelOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseCancelOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_cancel_operation( + request, metadata + ) + transcoded_request = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseCancelOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseCancelOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.CancelOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "CancelOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeaturestoreOnlineServingServiceRestTransport._CancelOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + return await self._interceptor.post_cancel_operation(None) + + @property + def delete_operation(self): + return self._DeleteOperation(self._session, self._host, self._interceptor) # type: ignore + + class _DeleteOperation( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseDeleteOperation, + AsyncFeaturestoreOnlineServingServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeaturestoreOnlineServingServiceRestTransport.DeleteOperation" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.DeleteOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the delete operation method over HTTP. + + Args: + request (operations_pb2.DeleteOperationRequest): + The request object for DeleteOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseDeleteOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_delete_operation( + request, metadata + ) + transcoded_request = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseDeleteOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseDeleteOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.DeleteOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "DeleteOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeaturestoreOnlineServingServiceRestTransport._DeleteOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + return await self._interceptor.post_delete_operation(None) + + @property + def get_operation(self): + return self._GetOperation(self._session, self._host, self._interceptor) # type: ignore + + class _GetOperation( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseGetOperation, + AsyncFeaturestoreOnlineServingServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeaturestoreOnlineServingServiceRestTransport.GetOperation" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.GetOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the get operation method over HTTP. + + Args: + request (operations_pb2.GetOperationRequest): + The request object for GetOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from GetOperation method. + """ + + http_options = ( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseGetOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_operation( + request, metadata + ) + transcoded_request = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseGetOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseGetOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "GetOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeaturestoreOnlineServingServiceRestTransport._GetOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_get_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceAsyncClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "GetOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_operations(self): + return self._ListOperations(self._session, self._host, self._interceptor) # type: ignore + + class _ListOperations( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseListOperations, + AsyncFeaturestoreOnlineServingServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeaturestoreOnlineServingServiceRestTransport.ListOperations" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.ListOperationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Call the list operations method over HTTP. + + Args: + request (operations_pb2.ListOperationsRequest): + The request object for ListOperations method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.ListOperationsResponse: Response from ListOperations method. + """ + + http_options = ( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseListOperations._get_http_options() + ) + + request, metadata = await self._interceptor.pre_list_operations( + request, metadata + ) + transcoded_request = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseListOperations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseListOperations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "ListOperations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeaturestoreOnlineServingServiceRestTransport._ListOperations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = operations_pb2.ListOperationsResponse() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_list_operations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceAsyncClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "ListOperations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def wait_operation(self): + return self._WaitOperation(self._session, self._host, self._interceptor) # type: ignore + + class _WaitOperation( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseWaitOperation, + AsyncFeaturestoreOnlineServingServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncFeaturestoreOnlineServingServiceRestTransport.WaitOperation" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.WaitOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the wait operation method over HTTP. + + Args: + request (operations_pb2.WaitOperationRequest): + The request object for WaitOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from WaitOperation method. + """ + + http_options = ( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseWaitOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_wait_operation( + request, metadata + ) + transcoded_request = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseWaitOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseFeaturestoreOnlineServingServiceRestTransport._BaseWaitOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "WaitOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncFeaturestoreOnlineServingServiceRestTransport._WaitOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_wait_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.FeaturestoreOnlineServingServiceAsyncClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService", + "rpcName": "WaitOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def kind(self) -> str: + return "rest_asyncio" + + async def close(self): + await self._session.close() diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/transports/rest_base.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/transports/rest_base.py new file mode 100644 index 0000000000000000000000000000000000000000..7cb6b9593ccdd7c2c2a373b85349e66274b3b3b1 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_online_serving_service/transports/rest_base.py @@ -0,0 +1,2651 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import json # type: ignore +from google.api_core import path_template +from google.api_core import gapic_v1 + +from google.protobuf import json_format +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore +from .base import FeaturestoreOnlineServingServiceTransport, DEFAULT_CLIENT_INFO + +import re +from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union + + +from google.cloud.aiplatform_v1.types import featurestore_online_service +from google.longrunning import operations_pb2 # type: ignore + + +class _BaseFeaturestoreOnlineServingServiceRestTransport( + FeaturestoreOnlineServingServiceTransport +): + """Base REST backend transport for FeaturestoreOnlineServingService. + + Note: This class is not meant to be used directly. Use its sync and + async sub-classes instead. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + """ + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[Any] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + url_scheme: str = "https", + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[Any]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + url_scheme: the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + maybe_url_match = re.match("^(?Phttp(?:s)?://)?(?P.*)$", host) + if maybe_url_match is None: + raise ValueError( + f"Unexpected hostname structure: {host}" + ) # pragma: NO COVER + + url_match_items = maybe_url_match.groupdict() + + host = f"{url_scheme}://{host}" if not url_match_items["scheme"] else host + + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + class _BaseReadFeatureValues: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{entity_type=projects/*/locations/*/featurestores/*/entityTypes/*}:readFeatureValues", + "body": "*", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = featurestore_online_service.ReadFeatureValuesRequest.pb( + request + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request["body"], use_integers_for_enums=True + ) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseReadFeatureValues._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseStreamingReadFeatureValues: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{entity_type=projects/*/locations/*/featurestores/*/entityTypes/*}:streamingReadFeatureValues", + "body": "*", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = ( + featurestore_online_service.StreamingReadFeatureValuesRequest.pb( + request + ) + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request["body"], use_integers_for_enums=True + ) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseStreamingReadFeatureValues._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseWriteFeatureValues: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{entity_type=projects/*/locations/*/featurestores/*/entityTypes/*}:writeFeatureValues", + "body": "*", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = featurestore_online_service.WriteFeatureValuesRequest.pb( + request + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request["body"], use_integers_for_enums=True + ) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseFeaturestoreOnlineServingServiceRestTransport._BaseWriteFeatureValues._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseGetLocation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseListLocations: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*}/locations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*}/locations", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseGetIamPolicy: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/models/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/models/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/endpoints/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/publishers/*/models/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureGroups/*}:getIamPolicy", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseSetIamPolicy: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/models/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/models/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/endpoints/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureGroups/*}:setIamPolicy", + "body": "*", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + body = json.dumps(transcoded_request["body"]) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseTestIamPermissions: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/models/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/models/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/endpoints/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureGroups/*}:testIamPermissions", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseCancelOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseDeleteOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensions/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseGetOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseListOperations: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/agents/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/apps/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensions/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/schedules/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/schedules/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=reasoningEngines/*/sessions/*}/operations", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseWaitOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:wait", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + +__all__ = ("_BaseFeaturestoreOnlineServingServiceRestTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_service/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_service/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..c709802e4565d756c34088a04bef043a87bf0806 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import FeaturestoreServiceClient +from .async_client import FeaturestoreServiceAsyncClient + +__all__ = ( + "FeaturestoreServiceClient", + "FeaturestoreServiceAsyncClient", +) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_service/async_client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_service/async_client.py new file mode 100644 index 0000000000000000000000000000000000000000..ed619bd3793163cad17255ec9bb0aade3f620bff --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_service/async_client.py @@ -0,0 +1,4104 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging as std_logging +from collections import OrderedDict +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, +) + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.services.featurestore_service import pagers +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import entity_type +from google.cloud.aiplatform_v1.types import entity_type as gca_entity_type +from google.cloud.aiplatform_v1.types import feature +from google.cloud.aiplatform_v1.types import feature as gca_feature +from google.cloud.aiplatform_v1.types import featurestore +from google.cloud.aiplatform_v1.types import featurestore as gca_featurestore +from google.cloud.aiplatform_v1.types import featurestore_monitoring +from google.cloud.aiplatform_v1.types import featurestore_service +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +from .transports.base import FeaturestoreServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import FeaturestoreServiceGrpcAsyncIOTransport +from .client import FeaturestoreServiceClient + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class FeaturestoreServiceAsyncClient: + """The service that handles CRUD and List for resources for + Featurestore. + """ + + _client: FeaturestoreServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = FeaturestoreServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = FeaturestoreServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = FeaturestoreServiceClient._DEFAULT_ENDPOINT_TEMPLATE + _DEFAULT_UNIVERSE = FeaturestoreServiceClient._DEFAULT_UNIVERSE + + entity_type_path = staticmethod(FeaturestoreServiceClient.entity_type_path) + parse_entity_type_path = staticmethod( + FeaturestoreServiceClient.parse_entity_type_path + ) + feature_path = staticmethod(FeaturestoreServiceClient.feature_path) + parse_feature_path = staticmethod(FeaturestoreServiceClient.parse_feature_path) + featurestore_path = staticmethod(FeaturestoreServiceClient.featurestore_path) + parse_featurestore_path = staticmethod( + FeaturestoreServiceClient.parse_featurestore_path + ) + common_billing_account_path = staticmethod( + FeaturestoreServiceClient.common_billing_account_path + ) + parse_common_billing_account_path = staticmethod( + FeaturestoreServiceClient.parse_common_billing_account_path + ) + common_folder_path = staticmethod(FeaturestoreServiceClient.common_folder_path) + parse_common_folder_path = staticmethod( + FeaturestoreServiceClient.parse_common_folder_path + ) + common_organization_path = staticmethod( + FeaturestoreServiceClient.common_organization_path + ) + parse_common_organization_path = staticmethod( + FeaturestoreServiceClient.parse_common_organization_path + ) + common_project_path = staticmethod(FeaturestoreServiceClient.common_project_path) + parse_common_project_path = staticmethod( + FeaturestoreServiceClient.parse_common_project_path + ) + common_location_path = staticmethod(FeaturestoreServiceClient.common_location_path) + parse_common_location_path = staticmethod( + FeaturestoreServiceClient.parse_common_location_path + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + FeaturestoreServiceAsyncClient: The constructed client. + """ + sa_info_func = ( + FeaturestoreServiceClient.from_service_account_info.__func__ # type: ignore + ) + return sa_info_func(FeaturestoreServiceAsyncClient, info, *args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + FeaturestoreServiceAsyncClient: The constructed client. + """ + sa_file_func = ( + FeaturestoreServiceClient.from_service_account_file.__func__ # type: ignore + ) + return sa_file_func(FeaturestoreServiceAsyncClient, filename, *args, **kwargs) + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[ClientOptions] = None + ): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return FeaturestoreServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> FeaturestoreServiceTransport: + """Returns the transport used by the client instance. + + Returns: + FeaturestoreServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = FeaturestoreServiceClient.get_transport_class + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + FeaturestoreServiceTransport, + Callable[..., FeaturestoreServiceTransport], + ] + ] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the featurestore service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,FeaturestoreServiceTransport,Callable[..., FeaturestoreServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport to use. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the FeaturestoreServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = FeaturestoreServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.FeaturestoreServiceAsyncClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreService", + "universeDomain": getattr( + self._client._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._client._transport._credentials).__module__}.{type(self._client._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, "get_cred_info", lambda: None + )(), + } + if hasattr(self._client._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreService", + "credentialsType": None, + } + ), + ) + + async def create_featurestore( + self, + request: Optional[ + Union[featurestore_service.CreateFeaturestoreRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + featurestore: Optional[gca_featurestore.Featurestore] = None, + featurestore_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Creates a new Featurestore in a given project and + location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_featurestore(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.CreateFeaturestoreRequest( + parent="parent_value", + featurestore_id="featurestore_id_value", + ) + + # Make the request + operation = client.create_featurestore(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateFeaturestoreRequest, dict]]): + The request object. Request message for + [FeaturestoreService.CreateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeaturestore]. + parent (:class:`str`): + Required. The resource name of the Location to create + Featurestores. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + featurestore (:class:`google.cloud.aiplatform_v1.types.Featurestore`): + Required. The Featurestore to create. + This corresponds to the ``featurestore`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + featurestore_id (:class:`str`): + Required. The ID to use for this Featurestore, which + will become the final component of the Featurestore's + resource name. + + This value may be up to 60 characters, and valid + characters are ``[a-z0-9_]``. The first character cannot + be a number. + + The value must be unique within the project and + location. + + This corresponds to the ``featurestore_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.Featurestore` Vertex AI Feature Store provides a centralized repository for organizing, + storing, and serving ML features. The Featurestore is + a top-level container for your features and their + values. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, featurestore, featurestore_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.CreateFeaturestoreRequest): + request = featurestore_service.CreateFeaturestoreRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if featurestore is not None: + request.featurestore = featurestore + if featurestore_id is not None: + request.featurestore_id = featurestore_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_featurestore + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gca_featurestore.Featurestore, + metadata_type=featurestore_service.CreateFeaturestoreOperationMetadata, + ) + + # Done; return the response. + return response + + async def get_featurestore( + self, + request: Optional[ + Union[featurestore_service.GetFeaturestoreRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> featurestore.Featurestore: + r"""Gets details of a single Featurestore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_featurestore(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetFeaturestoreRequest( + name="name_value", + ) + + # Make the request + response = await client.get_featurestore(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetFeaturestoreRequest, dict]]): + The request object. Request message for + [FeaturestoreService.GetFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.GetFeaturestore]. + name (:class:`str`): + Required. The name of the + Featurestore resource. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Featurestore: + Vertex AI Feature Store provides a + centralized repository for organizing, + storing, and serving ML features. The + Featurestore is a top-level container + for your features and their values. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.GetFeaturestoreRequest): + request = featurestore_service.GetFeaturestoreRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_featurestore + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_featurestores( + self, + request: Optional[ + Union[featurestore_service.ListFeaturestoresRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListFeaturestoresAsyncPager: + r"""Lists Featurestores in a given project and location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_featurestores(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListFeaturestoresRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_featurestores(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListFeaturestoresRequest, dict]]): + The request object. Request message for + [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]. + parent (:class:`str`): + Required. The resource name of the Location to list + Featurestores. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.featurestore_service.pagers.ListFeaturestoresAsyncPager: + Response message for + [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.ListFeaturestoresRequest): + request = featurestore_service.ListFeaturestoresRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_featurestores + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListFeaturestoresAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def update_featurestore( + self, + request: Optional[ + Union[featurestore_service.UpdateFeaturestoreRequest, dict] + ] = None, + *, + featurestore: Optional[gca_featurestore.Featurestore] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Updates the parameters of a single Featurestore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_update_featurestore(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.UpdateFeaturestoreRequest( + ) + + # Make the request + operation = client.update_featurestore(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UpdateFeaturestoreRequest, dict]]): + The request object. Request message for + [FeaturestoreService.UpdateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeaturestore]. + featurestore (:class:`google.cloud.aiplatform_v1.types.Featurestore`): + Required. The Featurestore's ``name`` field is used to + identify the Featurestore to be updated. Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}`` + + This corresponds to the ``featurestore`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Field mask is used to specify the fields to be + overwritten in the Featurestore resource by the update. + The fields specified in the update_mask are relative to + the resource, not the full request. A field will be + overwritten if it is in the mask. If the user does not + provide a mask then only the non-empty fields present in + the request will be overwritten. Set the update_mask to + ``*`` to override all fields. + + Updatable fields: + + - ``labels`` + - ``online_serving_config.fixed_node_count`` + - ``online_serving_config.scaling`` + - ``online_storage_ttl_days`` + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.Featurestore` Vertex AI Feature Store provides a centralized repository for organizing, + storing, and serving ML features. The Featurestore is + a top-level container for your features and their + values. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [featurestore, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.UpdateFeaturestoreRequest): + request = featurestore_service.UpdateFeaturestoreRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if featurestore is not None: + request.featurestore = featurestore + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.update_featurestore + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("featurestore.name", request.featurestore.name),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gca_featurestore.Featurestore, + metadata_type=featurestore_service.UpdateFeaturestoreOperationMetadata, + ) + + # Done; return the response. + return response + + async def delete_featurestore( + self, + request: Optional[ + Union[featurestore_service.DeleteFeaturestoreRequest, dict] + ] = None, + *, + name: Optional[str] = None, + force: Optional[bool] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a single Featurestore. The Featurestore must not contain + any EntityTypes or ``force`` must be set to true for the request + to succeed. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_featurestore(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteFeaturestoreRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_featurestore(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteFeaturestoreRequest, dict]]): + The request object. Request message for + [FeaturestoreService.DeleteFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeaturestore]. + name (:class:`str`): + Required. The name of the Featurestore to be deleted. + Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + force (:class:`bool`): + If set to true, any EntityTypes and + Features for this Featurestore will also + be deleted. (Otherwise, the request will + only work if the Featurestore has no + EntityTypes.) + + This corresponds to the ``force`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name, force] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.DeleteFeaturestoreRequest): + request = featurestore_service.DeleteFeaturestoreRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if force is not None: + request.force = force + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_featurestore + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def create_entity_type( + self, + request: Optional[ + Union[featurestore_service.CreateEntityTypeRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + entity_type: Optional[gca_entity_type.EntityType] = None, + entity_type_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Creates a new EntityType in a given Featurestore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_entity_type(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.CreateEntityTypeRequest( + parent="parent_value", + entity_type_id="entity_type_id_value", + ) + + # Make the request + operation = client.create_entity_type(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateEntityTypeRequest, dict]]): + The request object. Request message for + [FeaturestoreService.CreateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.CreateEntityType]. + parent (:class:`str`): + Required. The resource name of the Featurestore to + create EntityTypes. Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + entity_type (:class:`google.cloud.aiplatform_v1.types.EntityType`): + The EntityType to create. + This corresponds to the ``entity_type`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + entity_type_id (:class:`str`): + Required. The ID to use for the EntityType, which will + become the final component of the EntityType's resource + name. + + This value may be up to 60 characters, and valid + characters are ``[a-z0-9_]``. The first character cannot + be a number. + + The value must be unique within a featurestore. + + This corresponds to the ``entity_type_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.EntityType` An entity type is a type of object in a system that needs to be modeled and + have stored information about. For example, driver is + an entity type, and driver0 is an instance of an + entity type driver. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, entity_type, entity_type_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.CreateEntityTypeRequest): + request = featurestore_service.CreateEntityTypeRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if entity_type is not None: + request.entity_type = entity_type + if entity_type_id is not None: + request.entity_type_id = entity_type_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_entity_type + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gca_entity_type.EntityType, + metadata_type=featurestore_service.CreateEntityTypeOperationMetadata, + ) + + # Done; return the response. + return response + + async def get_entity_type( + self, + request: Optional[ + Union[featurestore_service.GetEntityTypeRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> entity_type.EntityType: + r"""Gets details of a single EntityType. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_entity_type(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetEntityTypeRequest( + name="name_value", + ) + + # Make the request + response = await client.get_entity_type(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetEntityTypeRequest, dict]]): + The request object. Request message for + [FeaturestoreService.GetEntityType][google.cloud.aiplatform.v1.FeaturestoreService.GetEntityType]. + name (:class:`str`): + Required. The name of the EntityType resource. Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.EntityType: + An entity type is a type of object in + a system that needs to be modeled and + have stored information about. For + example, driver is an entity type, and + driver0 is an instance of an entity type + driver. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.GetEntityTypeRequest): + request = featurestore_service.GetEntityTypeRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_entity_type + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_entity_types( + self, + request: Optional[ + Union[featurestore_service.ListEntityTypesRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListEntityTypesAsyncPager: + r"""Lists EntityTypes in a given Featurestore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_entity_types(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListEntityTypesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_entity_types(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListEntityTypesRequest, dict]]): + The request object. Request message for + [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]. + parent (:class:`str`): + Required. The resource name of the Featurestore to list + EntityTypes. Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.featurestore_service.pagers.ListEntityTypesAsyncPager: + Response message for + [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.ListEntityTypesRequest): + request = featurestore_service.ListEntityTypesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_entity_types + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListEntityTypesAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def update_entity_type( + self, + request: Optional[ + Union[featurestore_service.UpdateEntityTypeRequest, dict] + ] = None, + *, + entity_type: Optional[gca_entity_type.EntityType] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_entity_type.EntityType: + r"""Updates the parameters of a single EntityType. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_update_entity_type(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.UpdateEntityTypeRequest( + ) + + # Make the request + response = await client.update_entity_type(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UpdateEntityTypeRequest, dict]]): + The request object. Request message for + [FeaturestoreService.UpdateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.UpdateEntityType]. + entity_type (:class:`google.cloud.aiplatform_v1.types.EntityType`): + Required. The EntityType's ``name`` field is used to + identify the EntityType to be updated. Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`` + + This corresponds to the ``entity_type`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Field mask is used to specify the fields to be + overwritten in the EntityType resource by the update. + The fields specified in the update_mask are relative to + the resource, not the full request. A field will be + overwritten if it is in the mask. If the user does not + provide a mask then only the non-empty fields present in + the request will be overwritten. Set the update_mask to + ``*`` to override all fields. + + Updatable fields: + + - ``description`` + - ``labels`` + - ``monitoring_config.snapshot_analysis.disabled`` + - ``monitoring_config.snapshot_analysis.monitoring_interval_days`` + - ``monitoring_config.snapshot_analysis.staleness_days`` + - ``monitoring_config.import_features_analysis.state`` + - ``monitoring_config.import_features_analysis.anomaly_detection_baseline`` + - ``monitoring_config.numerical_threshold_config.value`` + - ``monitoring_config.categorical_threshold_config.value`` + - ``offline_storage_ttl_days`` + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.EntityType: + An entity type is a type of object in + a system that needs to be modeled and + have stored information about. For + example, driver is an entity type, and + driver0 is an instance of an entity type + driver. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [entity_type, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.UpdateEntityTypeRequest): + request = featurestore_service.UpdateEntityTypeRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if entity_type is not None: + request.entity_type = entity_type + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.update_entity_type + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("entity_type.name", request.entity_type.name),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_entity_type( + self, + request: Optional[ + Union[featurestore_service.DeleteEntityTypeRequest, dict] + ] = None, + *, + name: Optional[str] = None, + force: Optional[bool] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a single EntityType. The EntityType must not have any + Features or ``force`` must be set to true for the request to + succeed. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_entity_type(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteEntityTypeRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_entity_type(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteEntityTypeRequest, dict]]): + The request object. Request message for + [FeaturestoreService.DeleteEntityType][google.cloud.aiplatform.v1.FeaturestoreService.DeleteEntityType]. + name (:class:`str`): + Required. The name of the EntityType to be deleted. + Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + force (:class:`bool`): + If set to true, any Features for this + EntityType will also be deleted. + (Otherwise, the request will only work + if the EntityType has no Features.) + + This corresponds to the ``force`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name, force] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.DeleteEntityTypeRequest): + request = featurestore_service.DeleteEntityTypeRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if force is not None: + request.force = force + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_entity_type + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def create_feature( + self, + request: Optional[ + Union[featurestore_service.CreateFeatureRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + feature: Optional[gca_feature.Feature] = None, + feature_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Creates a new Feature in a given EntityType. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_feature(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.CreateFeatureRequest( + parent="parent_value", + feature_id="feature_id_value", + ) + + # Make the request + operation = client.create_feature(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateFeatureRequest, dict]]): + The request object. Request message for + [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeature]. + Request message for + [FeatureRegistryService.CreateFeature][google.cloud.aiplatform.v1.FeatureRegistryService.CreateFeature]. + parent (:class:`str`): + Required. The resource name of the EntityType or + FeatureGroup to create a Feature. Format for entity_type + as parent: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`` + Format for feature_group as parent: + ``projects/{project}/locations/{location}/featureGroups/{feature_group}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + feature (:class:`google.cloud.aiplatform_v1.types.Feature`): + Required. The Feature to create. + This corresponds to the ``feature`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + feature_id (:class:`str`): + Required. The ID to use for the Feature, which will + become the final component of the Feature's resource + name. + + This value may be up to 128 characters, and valid + characters are ``[a-z0-9_]``. The first character cannot + be a number. + + The value must be unique within an + EntityType/FeatureGroup. + + This corresponds to the ``feature_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.Feature` Feature Metadata information. + For example, color is a feature that describes an + apple. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, feature, feature_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.CreateFeatureRequest): + request = featurestore_service.CreateFeatureRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if feature is not None: + request.feature = feature + if feature_id is not None: + request.feature_id = feature_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_feature + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gca_feature.Feature, + metadata_type=featurestore_service.CreateFeatureOperationMetadata, + ) + + # Done; return the response. + return response + + async def batch_create_features( + self, + request: Optional[ + Union[featurestore_service.BatchCreateFeaturesRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + requests: Optional[ + MutableSequence[featurestore_service.CreateFeatureRequest] + ] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Creates a batch of Features in a given EntityType. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_batch_create_features(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceAsyncClient() + + # Initialize request argument(s) + requests = aiplatform_v1.CreateFeatureRequest() + requests.parent = "parent_value" + requests.feature_id = "feature_id_value" + + request = aiplatform_v1.BatchCreateFeaturesRequest( + parent="parent_value", + requests=requests, + ) + + # Make the request + operation = client.batch_create_features(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.BatchCreateFeaturesRequest, dict]]): + The request object. Request message for + [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures]. + Request message for + [FeatureRegistryService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeatureRegistryService.BatchCreateFeatures]. + parent (:class:`str`): + Required. The resource name of the + EntityType/FeatureGroup to create the batch of Features + under. Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`` + ``projects/{project}/locations/{location}/featureGroups/{feature_group}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + requests (:class:`MutableSequence[google.cloud.aiplatform_v1.types.CreateFeatureRequest]`): + Required. The request message specifying the Features to + create. All Features must be created under the same + parent EntityType / FeatureGroup. The ``parent`` field + in each child request message can be omitted. If + ``parent`` is set in a child request, then the value + must match the ``parent`` value in this request message. + + This corresponds to the ``requests`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.BatchCreateFeaturesResponse` Response message for + [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, requests] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.BatchCreateFeaturesRequest): + request = featurestore_service.BatchCreateFeaturesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if requests: + request.requests.extend(requests) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.batch_create_features + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + featurestore_service.BatchCreateFeaturesResponse, + metadata_type=featurestore_service.BatchCreateFeaturesOperationMetadata, + ) + + # Done; return the response. + return response + + async def get_feature( + self, + request: Optional[Union[featurestore_service.GetFeatureRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature.Feature: + r"""Gets details of a single Feature. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_feature(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetFeatureRequest( + name="name_value", + ) + + # Make the request + response = await client.get_feature(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetFeatureRequest, dict]]): + The request object. Request message for + [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1.FeaturestoreService.GetFeature]. + Request message for + [FeatureRegistryService.GetFeature][google.cloud.aiplatform.v1.FeatureRegistryService.GetFeature]. + name (:class:`str`): + Required. The name of the Feature resource. Format for + entity_type as parent: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`` + Format for feature_group as parent: + ``projects/{project}/locations/{location}/featureGroups/{feature_group}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Feature: + Feature Metadata information. + For example, color is a feature that + describes an apple. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.GetFeatureRequest): + request = featurestore_service.GetFeatureRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_feature + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_features( + self, + request: Optional[Union[featurestore_service.ListFeaturesRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListFeaturesAsyncPager: + r"""Lists Features in a given EntityType. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_features(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListFeaturesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_features(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListFeaturesRequest, dict]]): + The request object. Request message for + [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]. + Request message for + [FeatureRegistryService.ListFeatures][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatures]. + parent (:class:`str`): + Required. The resource name of the Location to list + Features. Format for entity_type as parent: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`` + Format for feature_group as parent: + ``projects/{project}/locations/{location}/featureGroups/{feature_group}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.featurestore_service.pagers.ListFeaturesAsyncPager: + Response message for + [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]. + Response message for + [FeatureRegistryService.ListFeatures][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatures]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.ListFeaturesRequest): + request = featurestore_service.ListFeaturesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_features + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListFeaturesAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def update_feature( + self, + request: Optional[ + Union[featurestore_service.UpdateFeatureRequest, dict] + ] = None, + *, + feature: Optional[gca_feature.Feature] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_feature.Feature: + r"""Updates the parameters of a single Feature. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_update_feature(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.UpdateFeatureRequest( + ) + + # Make the request + response = await client.update_feature(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UpdateFeatureRequest, dict]]): + The request object. Request message for + [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeature]. + Request message for + [FeatureRegistryService.UpdateFeature][google.cloud.aiplatform.v1.FeatureRegistryService.UpdateFeature]. + feature (:class:`google.cloud.aiplatform_v1.types.Feature`): + Required. The Feature's ``name`` field is used to + identify the Feature to be updated. Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}`` + ``projects/{project}/locations/{location}/featureGroups/{feature_group}/features/{feature}`` + + This corresponds to the ``feature`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Field mask is used to specify the fields to be + overwritten in the Features resource by the update. The + fields specified in the update_mask are relative to the + resource, not the full request. A field will be + overwritten if it is in the mask. If the user does not + provide a mask then only the non-empty fields present in + the request will be overwritten. Set the update_mask to + ``*`` to override all fields. + + Updatable fields: + + - ``description`` + - ``labels`` + - ``disable_monitoring`` (Not supported for + FeatureRegistryService Feature) + - ``point_of_contact`` (Not supported for + FeaturestoreService FeatureStore) + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Feature: + Feature Metadata information. + For example, color is a feature that + describes an apple. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [feature, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.UpdateFeatureRequest): + request = featurestore_service.UpdateFeatureRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if feature is not None: + request.feature = feature + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.update_feature + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("feature.name", request.feature.name),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_feature( + self, + request: Optional[ + Union[featurestore_service.DeleteFeatureRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a single Feature. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_feature(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteFeatureRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_feature(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteFeatureRequest, dict]]): + The request object. Request message for + [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeature]. + Request message for + [FeatureRegistryService.DeleteFeature][google.cloud.aiplatform.v1.FeatureRegistryService.DeleteFeature]. + name (:class:`str`): + Required. The name of the Features to be deleted. + Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}`` + ``projects/{project}/locations/{location}/featureGroups/{feature_group}/features/{feature}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.DeleteFeatureRequest): + request = featurestore_service.DeleteFeatureRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_feature + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def import_feature_values( + self, + request: Optional[ + Union[featurestore_service.ImportFeatureValuesRequest, dict] + ] = None, + *, + entity_type: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Imports Feature values into the Featurestore from a + source storage. + The progress of the import is tracked by the returned + operation. The imported features are guaranteed to be + visible to subsequent read operations after the + operation is marked as successfully done. + + If an import operation fails, the Feature values + returned from reads and exports may be inconsistent. If + consistency is required, the caller must retry the same + import request again and wait till the new operation + returned is marked as successfully done. + + There are also scenarios where the caller can cause + inconsistency. + + - Source data for import contains multiple distinct + Feature values for the same entity ID and + timestamp. + - Source is modified during an import. This includes + adding, updating, or removing source data and/or + metadata. Examples of updating metadata include but + are not limited to changing storage location, storage + class, or retention policy. + - Online serving cluster is under-provisioned. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_import_feature_values(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceAsyncClient() + + # Initialize request argument(s) + avro_source = aiplatform_v1.AvroSource() + avro_source.gcs_source.uris = ['uris_value1', 'uris_value2'] + + feature_specs = aiplatform_v1.FeatureSpec() + feature_specs.id = "id_value" + + request = aiplatform_v1.ImportFeatureValuesRequest( + avro_source=avro_source, + feature_time_field="feature_time_field_value", + entity_type="entity_type_value", + feature_specs=feature_specs, + ) + + # Make the request + operation = client.import_feature_values(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ImportFeatureValuesRequest, dict]]): + The request object. Request message for + [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues]. + entity_type (:class:`str`): + Required. The resource name of the EntityType grouping + the Features for which values are being imported. + Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`` + + This corresponds to the ``entity_type`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.ImportFeatureValuesResponse` Response message for + [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [entity_type] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.ImportFeatureValuesRequest): + request = featurestore_service.ImportFeatureValuesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if entity_type is not None: + request.entity_type = entity_type + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.import_feature_values + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("entity_type", request.entity_type),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + featurestore_service.ImportFeatureValuesResponse, + metadata_type=featurestore_service.ImportFeatureValuesOperationMetadata, + ) + + # Done; return the response. + return response + + async def batch_read_feature_values( + self, + request: Optional[ + Union[featurestore_service.BatchReadFeatureValuesRequest, dict] + ] = None, + *, + featurestore: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Batch reads Feature values from a Featurestore. + + This API enables batch reading Feature values, where + each read instance in the batch may read Feature values + of entities from one or more EntityTypes. Point-in-time + correctness is guaranteed for Feature values of each + read instance as of each instance's read timestamp. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_batch_read_feature_values(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceAsyncClient() + + # Initialize request argument(s) + csv_read_instances = aiplatform_v1.CsvSource() + csv_read_instances.gcs_source.uris = ['uris_value1', 'uris_value2'] + + destination = aiplatform_v1.FeatureValueDestination() + destination.bigquery_destination.output_uri = "output_uri_value" + + entity_type_specs = aiplatform_v1.EntityTypeSpec() + entity_type_specs.entity_type_id = "entity_type_id_value" + entity_type_specs.feature_selector.id_matcher.ids = ['ids_value1', 'ids_value2'] + + request = aiplatform_v1.BatchReadFeatureValuesRequest( + csv_read_instances=csv_read_instances, + featurestore="featurestore_value", + destination=destination, + entity_type_specs=entity_type_specs, + ) + + # Make the request + operation = client.batch_read_feature_values(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.BatchReadFeatureValuesRequest, dict]]): + The request object. Request message for + [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues]. + featurestore (:class:`str`): + Required. The resource name of the Featurestore from + which to query Feature values. Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}`` + + This corresponds to the ``featurestore`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.BatchReadFeatureValuesResponse` Response message for + [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [featurestore] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.BatchReadFeatureValuesRequest): + request = featurestore_service.BatchReadFeatureValuesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if featurestore is not None: + request.featurestore = featurestore + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.batch_read_feature_values + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("featurestore", request.featurestore),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + featurestore_service.BatchReadFeatureValuesResponse, + metadata_type=featurestore_service.BatchReadFeatureValuesOperationMetadata, + ) + + # Done; return the response. + return response + + async def export_feature_values( + self, + request: Optional[ + Union[featurestore_service.ExportFeatureValuesRequest, dict] + ] = None, + *, + entity_type: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Exports Feature values from all the entities of a + target EntityType. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_export_feature_values(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceAsyncClient() + + # Initialize request argument(s) + destination = aiplatform_v1.FeatureValueDestination() + destination.bigquery_destination.output_uri = "output_uri_value" + + feature_selector = aiplatform_v1.FeatureSelector() + feature_selector.id_matcher.ids = ['ids_value1', 'ids_value2'] + + request = aiplatform_v1.ExportFeatureValuesRequest( + entity_type="entity_type_value", + destination=destination, + feature_selector=feature_selector, + ) + + # Make the request + operation = client.export_feature_values(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ExportFeatureValuesRequest, dict]]): + The request object. Request message for + [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues]. + entity_type (:class:`str`): + Required. The resource name of the EntityType from which + to export Feature values. Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`` + + This corresponds to the ``entity_type`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.ExportFeatureValuesResponse` Response message for + [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [entity_type] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.ExportFeatureValuesRequest): + request = featurestore_service.ExportFeatureValuesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if entity_type is not None: + request.entity_type = entity_type + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.export_feature_values + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("entity_type", request.entity_type),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + featurestore_service.ExportFeatureValuesResponse, + metadata_type=featurestore_service.ExportFeatureValuesOperationMetadata, + ) + + # Done; return the response. + return response + + async def delete_feature_values( + self, + request: Optional[ + Union[featurestore_service.DeleteFeatureValuesRequest, dict] + ] = None, + *, + entity_type: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Delete Feature values from Featurestore. + + The progress of the deletion is tracked by the returned + operation. The deleted feature values are guaranteed to + be invisible to subsequent read operations after the + operation is marked as successfully done. + + If a delete feature values operation fails, the feature + values returned from reads and exports may be + inconsistent. If consistency is required, the caller + must retry the same delete request again and wait till + the new operation returned is marked as successfully + done. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_feature_values(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceAsyncClient() + + # Initialize request argument(s) + select_entity = aiplatform_v1.SelectEntity() + select_entity.entity_id_selector.csv_source.gcs_source.uris = ['uris_value1', 'uris_value2'] + + request = aiplatform_v1.DeleteFeatureValuesRequest( + select_entity=select_entity, + entity_type="entity_type_value", + ) + + # Make the request + operation = client.delete_feature_values(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteFeatureValuesRequest, dict]]): + The request object. Request message for + [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeatureValues]. + entity_type (:class:`str`): + Required. The resource name of the EntityType grouping + the Features for which values are being deleted from. + Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`` + + This corresponds to the ``entity_type`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.DeleteFeatureValuesResponse` Response message for + [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeatureValues]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [entity_type] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.DeleteFeatureValuesRequest): + request = featurestore_service.DeleteFeatureValuesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if entity_type is not None: + request.entity_type = entity_type + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_feature_values + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("entity_type", request.entity_type),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + featurestore_service.DeleteFeatureValuesResponse, + metadata_type=featurestore_service.DeleteFeatureValuesOperationMetadata, + ) + + # Done; return the response. + return response + + async def search_features( + self, + request: Optional[ + Union[featurestore_service.SearchFeaturesRequest, dict] + ] = None, + *, + location: Optional[str] = None, + query: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.SearchFeaturesAsyncPager: + r"""Searches Features matching a query in a given + project. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_search_features(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.SearchFeaturesRequest( + location="location_value", + ) + + # Make the request + page_result = client.search_features(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.SearchFeaturesRequest, dict]]): + The request object. Request message for + [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures]. + location (:class:`str`): + Required. The resource name of the Location to search + Features. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``location`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + query (:class:`str`): + Query string that is a conjunction of field-restricted + queries and/or field-restricted filters. + Field-restricted queries and filters can be combined + using ``AND`` to form a conjunction. + + A field query is in the form FIELD:QUERY. This + implicitly checks if QUERY exists as a substring within + Feature's FIELD. The QUERY and the FIELD are converted + to a sequence of words (i.e. tokens) for comparison. + This is done by: + + - Removing leading/trailing whitespace and tokenizing + the search value. Characters that are not one of + alphanumeric ``[a-zA-Z0-9]``, underscore ``_``, or + asterisk ``*`` are treated as delimiters for tokens. + ``*`` is treated as a wildcard that matches characters + within a token. + - Ignoring case. + - Prepending an asterisk to the first and appending an + asterisk to the last token in QUERY. + + A QUERY must be either a singular token or a phrase. A + phrase is one or multiple words enclosed in double + quotation marks ("). With phrases, the order of the + words is important. Words in the phrase must be matching + in order and consecutively. + + Supported FIELDs for field-restricted queries: + + - ``feature_id`` + - ``description`` + - ``entity_type_id`` + + Examples: + + - ``feature_id: foo`` --> Matches a Feature with ID + containing the substring ``foo`` (eg. ``foo``, + ``foofeature``, ``barfoo``). + - ``feature_id: foo*feature`` --> Matches a Feature with + ID containing the substring ``foo*feature`` (eg. + ``foobarfeature``). + - ``feature_id: foo AND description: bar`` --> Matches a + Feature with ID containing the substring ``foo`` and + description containing the substring ``bar``. + + Besides field queries, the following exact-match filters + are supported. The exact-match filters do not support + wildcards. Unlike field-restricted queries, exact-match + filters are case-sensitive. + + - ``feature_id``: Supports = comparisons. + - ``description``: Supports = comparisons. Multi-token + filters should be enclosed in quotes. + - ``entity_type_id``: Supports = comparisons. + - ``value_type``: Supports = and != comparisons. + - ``labels``: Supports key-value equality as well as key + presence. + - ``featurestore_id``: Supports = comparisons. + + Examples: + + - ``description = "foo bar"`` --> Any Feature with + description exactly equal to ``foo bar`` + - ``value_type = DOUBLE`` --> Features whose type is + DOUBLE. + - ``labels.active = yes AND labels.env = prod`` --> + Features having both (active: yes) and (env: prod) + labels. + - ``labels.env: *`` --> Any Feature which has a label + with ``env`` as the key. + + This corresponds to the ``query`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.featurestore_service.pagers.SearchFeaturesAsyncPager: + Response message for + [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [location, query] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.SearchFeaturesRequest): + request = featurestore_service.SearchFeaturesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if location is not None: + request.location = location + if query is not None: + request.query = query + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.search_features + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("location", request.location),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.SearchFeaturesAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[ + self._client._transport.test_iam_permissions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self) -> "FeaturestoreServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +__all__ = ("FeaturestoreServiceAsyncClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_service/client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_service/client.py new file mode 100644 index 0000000000000000000000000000000000000000..dcf1e51c1b1758cd87950c7b4e58e415bc901ed9 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_service/client.py @@ -0,0 +1,4595 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from http import HTTPStatus +import json +import logging as std_logging +import os +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, + cast, +) +import warnings + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + +from google.cloud.aiplatform_v1.services.featurestore_service import pagers +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import entity_type +from google.cloud.aiplatform_v1.types import entity_type as gca_entity_type +from google.cloud.aiplatform_v1.types import feature +from google.cloud.aiplatform_v1.types import feature as gca_feature +from google.cloud.aiplatform_v1.types import featurestore +from google.cloud.aiplatform_v1.types import featurestore as gca_featurestore +from google.cloud.aiplatform_v1.types import featurestore_monitoring +from google.cloud.aiplatform_v1.types import featurestore_service +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +from .transports.base import FeaturestoreServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import FeaturestoreServiceGrpcTransport +from .transports.grpc_asyncio import FeaturestoreServiceGrpcAsyncIOTransport +from .transports.rest import FeaturestoreServiceRestTransport + +try: + from .transports.rest_asyncio import AsyncFeaturestoreServiceRestTransport + + HAS_ASYNC_REST_DEPENDENCIES = True +except ImportError as e: # pragma: NO COVER + HAS_ASYNC_REST_DEPENDENCIES = False + ASYNC_REST_EXCEPTION = e + + +class FeaturestoreServiceClientMeta(type): + """Metaclass for the FeaturestoreService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + + _transport_registry = ( + OrderedDict() + ) # type: Dict[str, Type[FeaturestoreServiceTransport]] + _transport_registry["grpc"] = FeaturestoreServiceGrpcTransport + _transport_registry["grpc_asyncio"] = FeaturestoreServiceGrpcAsyncIOTransport + _transport_registry["rest"] = FeaturestoreServiceRestTransport + if HAS_ASYNC_REST_DEPENDENCIES: # pragma: NO COVER + _transport_registry["rest_asyncio"] = AsyncFeaturestoreServiceRestTransport + + def get_transport_class( + cls, + label: Optional[str] = None, + ) -> Type[FeaturestoreServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if ( + label == "rest_asyncio" and not HAS_ASYNC_REST_DEPENDENCIES + ): # pragma: NO COVER + raise ASYNC_REST_EXCEPTION + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class FeaturestoreServiceClient(metaclass=FeaturestoreServiceClientMeta): + """The service that handles CRUD and List for resources for + Featurestore. + """ + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "aiplatform.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @staticmethod + def _use_client_cert_effective(): + """Returns whether client certificate should be used for mTLS if the + google-auth version supports should_use_client_cert automatic mTLS enablement. + + Alternatively, read from the GOOGLE_API_USE_CLIENT_CERTIFICATE env var. + + Returns: + bool: whether client certificate should be used for mTLS + Raises: + ValueError: (If using a version of google-auth without should_use_client_cert and + GOOGLE_API_USE_CLIENT_CERTIFICATE is set to an unexpected value.) + """ + # check if google-auth version supports should_use_client_cert for automatic mTLS enablement + if hasattr(mtls, "should_use_client_cert"): # pragma: NO COVER + return mtls.should_use_client_cert() + else: # pragma: NO COVER + # if unsupported, fallback to reading from env var + use_client_cert_str = os.getenv( + "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false" + ).lower() + if use_client_cert_str not in ("true", "false"): + raise ValueError( + "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be" + " either `true` or `false`" + ) + return use_client_cert_str == "true" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + FeaturestoreServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + FeaturestoreServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file(filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> FeaturestoreServiceTransport: + """Returns the transport used by the client instance. + + Returns: + FeaturestoreServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def entity_type_path( + project: str, + location: str, + featurestore: str, + entity_type: str, + ) -> str: + """Returns a fully-qualified entity_type string.""" + return "projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}".format( + project=project, + location=location, + featurestore=featurestore, + entity_type=entity_type, + ) + + @staticmethod + def parse_entity_type_path(path: str) -> Dict[str, str]: + """Parses a entity_type path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/featurestores/(?P.+?)/entityTypes/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def feature_path( + project: str, + location: str, + featurestore: str, + entity_type: str, + feature: str, + ) -> str: + """Returns a fully-qualified feature string.""" + return "projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}".format( + project=project, + location=location, + featurestore=featurestore, + entity_type=entity_type, + feature=feature, + ) + + @staticmethod + def parse_feature_path(path: str) -> Dict[str, str]: + """Parses a feature path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/featurestores/(?P.+?)/entityTypes/(?P.+?)/features/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def featurestore_path( + project: str, + location: str, + featurestore: str, + ) -> str: + """Returns a fully-qualified featurestore string.""" + return "projects/{project}/locations/{location}/featurestores/{featurestore}".format( + project=project, + location=location, + featurestore=featurestore, + ) + + @staticmethod + def parse_featurestore_path(path: str) -> Dict[str, str]: + """Parses a featurestore path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/featurestores/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path( + billing_account: str, + ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format( + billing_account=billing_account, + ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str, str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path( + folder: str, + ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format( + folder=folder, + ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str, str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path( + organization: str, + ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format( + organization=organization, + ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str, str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path( + project: str, + ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format( + project=project, + ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str, str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path( + project: str, + location: str, + ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format( + project=project, + location=location, + ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str, str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[client_options_lib.ClientOptions] = None + ): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn( + "get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning, + ) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = FeaturestoreServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert: + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = FeaturestoreServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + return use_client_cert, use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint( + api_override, client_cert_source, universe_domain, use_mtls_endpoint + ): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + _default_universe = FeaturestoreServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError( + f"mTLS is not supported in any universe other than {_default_universe}." + ) + api_endpoint = FeaturestoreServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = FeaturestoreServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format( + UNIVERSE_DOMAIN=universe_domain + ) + return api_endpoint + + @staticmethod + def _get_universe_domain( + client_universe_domain: Optional[str], universe_domain_env: Optional[str] + ) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = FeaturestoreServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + + # NOTE (b/349488459): universe validation is disabled until further notice. + return True + + def _add_cred_info_for_auth_errors( + self, error: core_exceptions.GoogleAPICallError + ) -> None: + """Adds credential info string to error details for 401/403/404 errors. + + Args: + error (google.api_core.exceptions.GoogleAPICallError): The error to add the cred info. + """ + if error.code not in [ + HTTPStatus.UNAUTHORIZED, + HTTPStatus.FORBIDDEN, + HTTPStatus.NOT_FOUND, + ]: + return + + cred = self._transport._credentials + + # get_cred_info is only available in google-auth>=2.35.0 + if not hasattr(cred, "get_cred_info"): + return + + # ignore the type check since pypy test fails when get_cred_info + # is not available + cred_info = cred.get_cred_info() # type: ignore + if cred_info and hasattr(error._details, "append"): + error._details.append(json.dumps(cred_info)) + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + FeaturestoreServiceTransport, + Callable[..., FeaturestoreServiceTransport], + ] + ] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the featurestore service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,FeaturestoreServiceTransport,Callable[..., FeaturestoreServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the FeaturestoreServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast( + client_options_lib.ClientOptions, self._client_options + ) + + universe_domain_opt = getattr(self._client_options, "universe_domain", None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = ( + FeaturestoreServiceClient._read_environment_variables() + ) + self._client_cert_source = FeaturestoreServiceClient._get_client_cert_source( + self._client_options.client_cert_source, self._use_client_cert + ) + self._universe_domain = FeaturestoreServiceClient._get_universe_domain( + universe_domain_opt, self._universe_domain_env + ) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + if CLIENT_LOGGING_SUPPORTED: # pragma: NO COVER + # Setup logging. + client_logging.initialize_logging() + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError( + "client_options.api_key and credentials are mutually exclusive" + ) + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance(transport, FeaturestoreServiceTransport) + if transport_provided: + # transport is a FeaturestoreServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError( + "When providing a transport instance, " + "provide its credentials directly." + ) + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(FeaturestoreServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = ( + self._api_endpoint + or FeaturestoreServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint, + ) + ) + + if not transport_provided: + transport_init: Union[ + Type[FeaturestoreServiceTransport], + Callable[..., FeaturestoreServiceTransport], + ] = ( + FeaturestoreServiceClient.get_transport_class(transport) + if isinstance(transport, str) or transport is None + else cast(Callable[..., FeaturestoreServiceTransport], transport) + ) + + if "rest_asyncio" in str(transport_init): + unsupported_params = { + "google.api_core.client_options.ClientOptions.credentials_file": self._client_options.credentials_file, + "google.api_core.client_options.ClientOptions.scopes": self._client_options.scopes, + "google.api_core.client_options.ClientOptions.quota_project_id": self._client_options.quota_project_id, + "google.api_core.client_options.ClientOptions.client_cert_source": self._client_options.client_cert_source, + "google.api_core.client_options.ClientOptions.api_audience": self._client_options.api_audience, + } + provided_unsupported_params = [ + name + for name, value in unsupported_params.items() + if value is not None + ] + if provided_unsupported_params: + raise core_exceptions.AsyncRestUnsupportedParameterError( # type: ignore + f"The following provided parameters are not supported for `transport=rest_asyncio`: {', '.join(provided_unsupported_params)}" + ) + self._transport = transport_init( + credentials=credentials, + host=self._api_endpoint, + client_info=client_info, + ) + return + + import google.auth._default # type: ignore + + if api_key_value and hasattr( + google.auth._default, "get_api_key_credentials" + ): + credentials = google.auth._default.get_api_key_credentials( + api_key_value + ) + + # initialize with the provided callable or the passed in class + self._transport = transport_init( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + if "async" not in str(self._transport): + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.FeaturestoreServiceClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreService", + "universeDomain": getattr( + self._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._transport._credentials).__module__}.{type(self._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, + "get_cred_info", + lambda: None, + )(), + } + if hasattr(self._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.FeaturestoreService", + "credentialsType": None, + } + ), + ) + + def create_featurestore( + self, + request: Optional[ + Union[featurestore_service.CreateFeaturestoreRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + featurestore: Optional[gca_featurestore.Featurestore] = None, + featurestore_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Creates a new Featurestore in a given project and + location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_featurestore(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.CreateFeaturestoreRequest( + parent="parent_value", + featurestore_id="featurestore_id_value", + ) + + # Make the request + operation = client.create_featurestore(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateFeaturestoreRequest, dict]): + The request object. Request message for + [FeaturestoreService.CreateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeaturestore]. + parent (str): + Required. The resource name of the Location to create + Featurestores. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + featurestore (google.cloud.aiplatform_v1.types.Featurestore): + Required. The Featurestore to create. + This corresponds to the ``featurestore`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + featurestore_id (str): + Required. The ID to use for this Featurestore, which + will become the final component of the Featurestore's + resource name. + + This value may be up to 60 characters, and valid + characters are ``[a-z0-9_]``. The first character cannot + be a number. + + The value must be unique within the project and + location. + + This corresponds to the ``featurestore_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.Featurestore` Vertex AI Feature Store provides a centralized repository for organizing, + storing, and serving ML features. The Featurestore is + a top-level container for your features and their + values. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, featurestore, featurestore_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.CreateFeaturestoreRequest): + request = featurestore_service.CreateFeaturestoreRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if featurestore is not None: + request.featurestore = featurestore + if featurestore_id is not None: + request.featurestore_id = featurestore_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_featurestore] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + gca_featurestore.Featurestore, + metadata_type=featurestore_service.CreateFeaturestoreOperationMetadata, + ) + + # Done; return the response. + return response + + def get_featurestore( + self, + request: Optional[ + Union[featurestore_service.GetFeaturestoreRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> featurestore.Featurestore: + r"""Gets details of a single Featurestore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_featurestore(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetFeaturestoreRequest( + name="name_value", + ) + + # Make the request + response = client.get_featurestore(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetFeaturestoreRequest, dict]): + The request object. Request message for + [FeaturestoreService.GetFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.GetFeaturestore]. + name (str): + Required. The name of the + Featurestore resource. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Featurestore: + Vertex AI Feature Store provides a + centralized repository for organizing, + storing, and serving ML features. The + Featurestore is a top-level container + for your features and their values. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.GetFeaturestoreRequest): + request = featurestore_service.GetFeaturestoreRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_featurestore] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_featurestores( + self, + request: Optional[ + Union[featurestore_service.ListFeaturestoresRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListFeaturestoresPager: + r"""Lists Featurestores in a given project and location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_featurestores(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListFeaturestoresRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_featurestores(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListFeaturestoresRequest, dict]): + The request object. Request message for + [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]. + parent (str): + Required. The resource name of the Location to list + Featurestores. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.featurestore_service.pagers.ListFeaturestoresPager: + Response message for + [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.ListFeaturestoresRequest): + request = featurestore_service.ListFeaturestoresRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_featurestores] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListFeaturestoresPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def update_featurestore( + self, + request: Optional[ + Union[featurestore_service.UpdateFeaturestoreRequest, dict] + ] = None, + *, + featurestore: Optional[gca_featurestore.Featurestore] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Updates the parameters of a single Featurestore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_update_featurestore(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.UpdateFeaturestoreRequest( + ) + + # Make the request + operation = client.update_featurestore(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UpdateFeaturestoreRequest, dict]): + The request object. Request message for + [FeaturestoreService.UpdateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeaturestore]. + featurestore (google.cloud.aiplatform_v1.types.Featurestore): + Required. The Featurestore's ``name`` field is used to + identify the Featurestore to be updated. Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}`` + + This corresponds to the ``featurestore`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Field mask is used to specify the fields to be + overwritten in the Featurestore resource by the update. + The fields specified in the update_mask are relative to + the resource, not the full request. A field will be + overwritten if it is in the mask. If the user does not + provide a mask then only the non-empty fields present in + the request will be overwritten. Set the update_mask to + ``*`` to override all fields. + + Updatable fields: + + - ``labels`` + - ``online_serving_config.fixed_node_count`` + - ``online_serving_config.scaling`` + - ``online_storage_ttl_days`` + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.Featurestore` Vertex AI Feature Store provides a centralized repository for organizing, + storing, and serving ML features. The Featurestore is + a top-level container for your features and their + values. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [featurestore, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.UpdateFeaturestoreRequest): + request = featurestore_service.UpdateFeaturestoreRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if featurestore is not None: + request.featurestore = featurestore + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.update_featurestore] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("featurestore.name", request.featurestore.name),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + gca_featurestore.Featurestore, + metadata_type=featurestore_service.UpdateFeaturestoreOperationMetadata, + ) + + # Done; return the response. + return response + + def delete_featurestore( + self, + request: Optional[ + Union[featurestore_service.DeleteFeaturestoreRequest, dict] + ] = None, + *, + name: Optional[str] = None, + force: Optional[bool] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes a single Featurestore. The Featurestore must not contain + any EntityTypes or ``force`` must be set to true for the request + to succeed. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_featurestore(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteFeaturestoreRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_featurestore(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteFeaturestoreRequest, dict]): + The request object. Request message for + [FeaturestoreService.DeleteFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeaturestore]. + name (str): + Required. The name of the Featurestore to be deleted. + Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + force (bool): + If set to true, any EntityTypes and + Features for this Featurestore will also + be deleted. (Otherwise, the request will + only work if the Featurestore has no + EntityTypes.) + + This corresponds to the ``force`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name, force] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.DeleteFeaturestoreRequest): + request = featurestore_service.DeleteFeaturestoreRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if force is not None: + request.force = force + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_featurestore] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def create_entity_type( + self, + request: Optional[ + Union[featurestore_service.CreateEntityTypeRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + entity_type: Optional[gca_entity_type.EntityType] = None, + entity_type_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Creates a new EntityType in a given Featurestore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_entity_type(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.CreateEntityTypeRequest( + parent="parent_value", + entity_type_id="entity_type_id_value", + ) + + # Make the request + operation = client.create_entity_type(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateEntityTypeRequest, dict]): + The request object. Request message for + [FeaturestoreService.CreateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.CreateEntityType]. + parent (str): + Required. The resource name of the Featurestore to + create EntityTypes. Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + entity_type (google.cloud.aiplatform_v1.types.EntityType): + The EntityType to create. + This corresponds to the ``entity_type`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + entity_type_id (str): + Required. The ID to use for the EntityType, which will + become the final component of the EntityType's resource + name. + + This value may be up to 60 characters, and valid + characters are ``[a-z0-9_]``. The first character cannot + be a number. + + The value must be unique within a featurestore. + + This corresponds to the ``entity_type_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.EntityType` An entity type is a type of object in a system that needs to be modeled and + have stored information about. For example, driver is + an entity type, and driver0 is an instance of an + entity type driver. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, entity_type, entity_type_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.CreateEntityTypeRequest): + request = featurestore_service.CreateEntityTypeRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if entity_type is not None: + request.entity_type = entity_type + if entity_type_id is not None: + request.entity_type_id = entity_type_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_entity_type] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + gca_entity_type.EntityType, + metadata_type=featurestore_service.CreateEntityTypeOperationMetadata, + ) + + # Done; return the response. + return response + + def get_entity_type( + self, + request: Optional[ + Union[featurestore_service.GetEntityTypeRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> entity_type.EntityType: + r"""Gets details of a single EntityType. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_entity_type(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetEntityTypeRequest( + name="name_value", + ) + + # Make the request + response = client.get_entity_type(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetEntityTypeRequest, dict]): + The request object. Request message for + [FeaturestoreService.GetEntityType][google.cloud.aiplatform.v1.FeaturestoreService.GetEntityType]. + name (str): + Required. The name of the EntityType resource. Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.EntityType: + An entity type is a type of object in + a system that needs to be modeled and + have stored information about. For + example, driver is an entity type, and + driver0 is an instance of an entity type + driver. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.GetEntityTypeRequest): + request = featurestore_service.GetEntityTypeRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_entity_type] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_entity_types( + self, + request: Optional[ + Union[featurestore_service.ListEntityTypesRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListEntityTypesPager: + r"""Lists EntityTypes in a given Featurestore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_entity_types(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListEntityTypesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_entity_types(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListEntityTypesRequest, dict]): + The request object. Request message for + [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]. + parent (str): + Required. The resource name of the Featurestore to list + EntityTypes. Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.featurestore_service.pagers.ListEntityTypesPager: + Response message for + [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.ListEntityTypesRequest): + request = featurestore_service.ListEntityTypesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_entity_types] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListEntityTypesPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def update_entity_type( + self, + request: Optional[ + Union[featurestore_service.UpdateEntityTypeRequest, dict] + ] = None, + *, + entity_type: Optional[gca_entity_type.EntityType] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_entity_type.EntityType: + r"""Updates the parameters of a single EntityType. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_update_entity_type(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.UpdateEntityTypeRequest( + ) + + # Make the request + response = client.update_entity_type(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UpdateEntityTypeRequest, dict]): + The request object. Request message for + [FeaturestoreService.UpdateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.UpdateEntityType]. + entity_type (google.cloud.aiplatform_v1.types.EntityType): + Required. The EntityType's ``name`` field is used to + identify the EntityType to be updated. Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`` + + This corresponds to the ``entity_type`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Field mask is used to specify the fields to be + overwritten in the EntityType resource by the update. + The fields specified in the update_mask are relative to + the resource, not the full request. A field will be + overwritten if it is in the mask. If the user does not + provide a mask then only the non-empty fields present in + the request will be overwritten. Set the update_mask to + ``*`` to override all fields. + + Updatable fields: + + - ``description`` + - ``labels`` + - ``monitoring_config.snapshot_analysis.disabled`` + - ``monitoring_config.snapshot_analysis.monitoring_interval_days`` + - ``monitoring_config.snapshot_analysis.staleness_days`` + - ``monitoring_config.import_features_analysis.state`` + - ``monitoring_config.import_features_analysis.anomaly_detection_baseline`` + - ``monitoring_config.numerical_threshold_config.value`` + - ``monitoring_config.categorical_threshold_config.value`` + - ``offline_storage_ttl_days`` + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.EntityType: + An entity type is a type of object in + a system that needs to be modeled and + have stored information about. For + example, driver is an entity type, and + driver0 is an instance of an entity type + driver. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [entity_type, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.UpdateEntityTypeRequest): + request = featurestore_service.UpdateEntityTypeRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if entity_type is not None: + request.entity_type = entity_type + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.update_entity_type] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("entity_type.name", request.entity_type.name),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def delete_entity_type( + self, + request: Optional[ + Union[featurestore_service.DeleteEntityTypeRequest, dict] + ] = None, + *, + name: Optional[str] = None, + force: Optional[bool] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes a single EntityType. The EntityType must not have any + Features or ``force`` must be set to true for the request to + succeed. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_entity_type(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteEntityTypeRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_entity_type(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteEntityTypeRequest, dict]): + The request object. Request message for + [FeaturestoreService.DeleteEntityType][google.cloud.aiplatform.v1.FeaturestoreService.DeleteEntityType]. + name (str): + Required. The name of the EntityType to be deleted. + Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + force (bool): + If set to true, any Features for this + EntityType will also be deleted. + (Otherwise, the request will only work + if the EntityType has no Features.) + + This corresponds to the ``force`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name, force] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.DeleteEntityTypeRequest): + request = featurestore_service.DeleteEntityTypeRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if force is not None: + request.force = force + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_entity_type] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def create_feature( + self, + request: Optional[ + Union[featurestore_service.CreateFeatureRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + feature: Optional[gca_feature.Feature] = None, + feature_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Creates a new Feature in a given EntityType. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_feature(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.CreateFeatureRequest( + parent="parent_value", + feature_id="feature_id_value", + ) + + # Make the request + operation = client.create_feature(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateFeatureRequest, dict]): + The request object. Request message for + [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeature]. + Request message for + [FeatureRegistryService.CreateFeature][google.cloud.aiplatform.v1.FeatureRegistryService.CreateFeature]. + parent (str): + Required. The resource name of the EntityType or + FeatureGroup to create a Feature. Format for entity_type + as parent: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`` + Format for feature_group as parent: + ``projects/{project}/locations/{location}/featureGroups/{feature_group}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + feature (google.cloud.aiplatform_v1.types.Feature): + Required. The Feature to create. + This corresponds to the ``feature`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + feature_id (str): + Required. The ID to use for the Feature, which will + become the final component of the Feature's resource + name. + + This value may be up to 128 characters, and valid + characters are ``[a-z0-9_]``. The first character cannot + be a number. + + The value must be unique within an + EntityType/FeatureGroup. + + This corresponds to the ``feature_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.Feature` Feature Metadata information. + For example, color is a feature that describes an + apple. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, feature, feature_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.CreateFeatureRequest): + request = featurestore_service.CreateFeatureRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if feature is not None: + request.feature = feature + if feature_id is not None: + request.feature_id = feature_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_feature] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + gca_feature.Feature, + metadata_type=featurestore_service.CreateFeatureOperationMetadata, + ) + + # Done; return the response. + return response + + def batch_create_features( + self, + request: Optional[ + Union[featurestore_service.BatchCreateFeaturesRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + requests: Optional[ + MutableSequence[featurestore_service.CreateFeatureRequest] + ] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Creates a batch of Features in a given EntityType. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_batch_create_features(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceClient() + + # Initialize request argument(s) + requests = aiplatform_v1.CreateFeatureRequest() + requests.parent = "parent_value" + requests.feature_id = "feature_id_value" + + request = aiplatform_v1.BatchCreateFeaturesRequest( + parent="parent_value", + requests=requests, + ) + + # Make the request + operation = client.batch_create_features(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.BatchCreateFeaturesRequest, dict]): + The request object. Request message for + [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures]. + Request message for + [FeatureRegistryService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeatureRegistryService.BatchCreateFeatures]. + parent (str): + Required. The resource name of the + EntityType/FeatureGroup to create the batch of Features + under. Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`` + ``projects/{project}/locations/{location}/featureGroups/{feature_group}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + requests (MutableSequence[google.cloud.aiplatform_v1.types.CreateFeatureRequest]): + Required. The request message specifying the Features to + create. All Features must be created under the same + parent EntityType / FeatureGroup. The ``parent`` field + in each child request message can be omitted. If + ``parent`` is set in a child request, then the value + must match the ``parent`` value in this request message. + + This corresponds to the ``requests`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.BatchCreateFeaturesResponse` Response message for + [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, requests] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.BatchCreateFeaturesRequest): + request = featurestore_service.BatchCreateFeaturesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if requests is not None: + request.requests = requests + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.batch_create_features] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + featurestore_service.BatchCreateFeaturesResponse, + metadata_type=featurestore_service.BatchCreateFeaturesOperationMetadata, + ) + + # Done; return the response. + return response + + def get_feature( + self, + request: Optional[Union[featurestore_service.GetFeatureRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> feature.Feature: + r"""Gets details of a single Feature. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_feature(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetFeatureRequest( + name="name_value", + ) + + # Make the request + response = client.get_feature(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetFeatureRequest, dict]): + The request object. Request message for + [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1.FeaturestoreService.GetFeature]. + Request message for + [FeatureRegistryService.GetFeature][google.cloud.aiplatform.v1.FeatureRegistryService.GetFeature]. + name (str): + Required. The name of the Feature resource. Format for + entity_type as parent: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`` + Format for feature_group as parent: + ``projects/{project}/locations/{location}/featureGroups/{feature_group}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Feature: + Feature Metadata information. + For example, color is a feature that + describes an apple. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.GetFeatureRequest): + request = featurestore_service.GetFeatureRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_feature] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_features( + self, + request: Optional[Union[featurestore_service.ListFeaturesRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListFeaturesPager: + r"""Lists Features in a given EntityType. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_features(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListFeaturesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_features(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListFeaturesRequest, dict]): + The request object. Request message for + [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]. + Request message for + [FeatureRegistryService.ListFeatures][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatures]. + parent (str): + Required. The resource name of the Location to list + Features. Format for entity_type as parent: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`` + Format for feature_group as parent: + ``projects/{project}/locations/{location}/featureGroups/{feature_group}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.featurestore_service.pagers.ListFeaturesPager: + Response message for + [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures]. + Response message for + [FeatureRegistryService.ListFeatures][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatures]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.ListFeaturesRequest): + request = featurestore_service.ListFeaturesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_features] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListFeaturesPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def update_feature( + self, + request: Optional[ + Union[featurestore_service.UpdateFeatureRequest, dict] + ] = None, + *, + feature: Optional[gca_feature.Feature] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_feature.Feature: + r"""Updates the parameters of a single Feature. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_update_feature(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.UpdateFeatureRequest( + ) + + # Make the request + response = client.update_feature(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UpdateFeatureRequest, dict]): + The request object. Request message for + [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeature]. + Request message for + [FeatureRegistryService.UpdateFeature][google.cloud.aiplatform.v1.FeatureRegistryService.UpdateFeature]. + feature (google.cloud.aiplatform_v1.types.Feature): + Required. The Feature's ``name`` field is used to + identify the Feature to be updated. Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}`` + ``projects/{project}/locations/{location}/featureGroups/{feature_group}/features/{feature}`` + + This corresponds to the ``feature`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Field mask is used to specify the fields to be + overwritten in the Features resource by the update. The + fields specified in the update_mask are relative to the + resource, not the full request. A field will be + overwritten if it is in the mask. If the user does not + provide a mask then only the non-empty fields present in + the request will be overwritten. Set the update_mask to + ``*`` to override all fields. + + Updatable fields: + + - ``description`` + - ``labels`` + - ``disable_monitoring`` (Not supported for + FeatureRegistryService Feature) + - ``point_of_contact`` (Not supported for + FeaturestoreService FeatureStore) + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Feature: + Feature Metadata information. + For example, color is a feature that + describes an apple. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [feature, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.UpdateFeatureRequest): + request = featurestore_service.UpdateFeatureRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if feature is not None: + request.feature = feature + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.update_feature] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("feature.name", request.feature.name),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def delete_feature( + self, + request: Optional[ + Union[featurestore_service.DeleteFeatureRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes a single Feature. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_feature(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteFeatureRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_feature(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteFeatureRequest, dict]): + The request object. Request message for + [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeature]. + Request message for + [FeatureRegistryService.DeleteFeature][google.cloud.aiplatform.v1.FeatureRegistryService.DeleteFeature]. + name (str): + Required. The name of the Features to be deleted. + Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}`` + ``projects/{project}/locations/{location}/featureGroups/{feature_group}/features/{feature}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.DeleteFeatureRequest): + request = featurestore_service.DeleteFeatureRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_feature] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def import_feature_values( + self, + request: Optional[ + Union[featurestore_service.ImportFeatureValuesRequest, dict] + ] = None, + *, + entity_type: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Imports Feature values into the Featurestore from a + source storage. + The progress of the import is tracked by the returned + operation. The imported features are guaranteed to be + visible to subsequent read operations after the + operation is marked as successfully done. + + If an import operation fails, the Feature values + returned from reads and exports may be inconsistent. If + consistency is required, the caller must retry the same + import request again and wait till the new operation + returned is marked as successfully done. + + There are also scenarios where the caller can cause + inconsistency. + + - Source data for import contains multiple distinct + Feature values for the same entity ID and + timestamp. + - Source is modified during an import. This includes + adding, updating, or removing source data and/or + metadata. Examples of updating metadata include but + are not limited to changing storage location, storage + class, or retention policy. + - Online serving cluster is under-provisioned. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_import_feature_values(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceClient() + + # Initialize request argument(s) + avro_source = aiplatform_v1.AvroSource() + avro_source.gcs_source.uris = ['uris_value1', 'uris_value2'] + + feature_specs = aiplatform_v1.FeatureSpec() + feature_specs.id = "id_value" + + request = aiplatform_v1.ImportFeatureValuesRequest( + avro_source=avro_source, + feature_time_field="feature_time_field_value", + entity_type="entity_type_value", + feature_specs=feature_specs, + ) + + # Make the request + operation = client.import_feature_values(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ImportFeatureValuesRequest, dict]): + The request object. Request message for + [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues]. + entity_type (str): + Required. The resource name of the EntityType grouping + the Features for which values are being imported. + Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`` + + This corresponds to the ``entity_type`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.ImportFeatureValuesResponse` Response message for + [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [entity_type] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.ImportFeatureValuesRequest): + request = featurestore_service.ImportFeatureValuesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if entity_type is not None: + request.entity_type = entity_type + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.import_feature_values] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("entity_type", request.entity_type),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + featurestore_service.ImportFeatureValuesResponse, + metadata_type=featurestore_service.ImportFeatureValuesOperationMetadata, + ) + + # Done; return the response. + return response + + def batch_read_feature_values( + self, + request: Optional[ + Union[featurestore_service.BatchReadFeatureValuesRequest, dict] + ] = None, + *, + featurestore: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Batch reads Feature values from a Featurestore. + + This API enables batch reading Feature values, where + each read instance in the batch may read Feature values + of entities from one or more EntityTypes. Point-in-time + correctness is guaranteed for Feature values of each + read instance as of each instance's read timestamp. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_batch_read_feature_values(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceClient() + + # Initialize request argument(s) + csv_read_instances = aiplatform_v1.CsvSource() + csv_read_instances.gcs_source.uris = ['uris_value1', 'uris_value2'] + + destination = aiplatform_v1.FeatureValueDestination() + destination.bigquery_destination.output_uri = "output_uri_value" + + entity_type_specs = aiplatform_v1.EntityTypeSpec() + entity_type_specs.entity_type_id = "entity_type_id_value" + entity_type_specs.feature_selector.id_matcher.ids = ['ids_value1', 'ids_value2'] + + request = aiplatform_v1.BatchReadFeatureValuesRequest( + csv_read_instances=csv_read_instances, + featurestore="featurestore_value", + destination=destination, + entity_type_specs=entity_type_specs, + ) + + # Make the request + operation = client.batch_read_feature_values(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.BatchReadFeatureValuesRequest, dict]): + The request object. Request message for + [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues]. + featurestore (str): + Required. The resource name of the Featurestore from + which to query Feature values. Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}`` + + This corresponds to the ``featurestore`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.BatchReadFeatureValuesResponse` Response message for + [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [featurestore] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.BatchReadFeatureValuesRequest): + request = featurestore_service.BatchReadFeatureValuesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if featurestore is not None: + request.featurestore = featurestore + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.batch_read_feature_values + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("featurestore", request.featurestore),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + featurestore_service.BatchReadFeatureValuesResponse, + metadata_type=featurestore_service.BatchReadFeatureValuesOperationMetadata, + ) + + # Done; return the response. + return response + + def export_feature_values( + self, + request: Optional[ + Union[featurestore_service.ExportFeatureValuesRequest, dict] + ] = None, + *, + entity_type: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Exports Feature values from all the entities of a + target EntityType. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_export_feature_values(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceClient() + + # Initialize request argument(s) + destination = aiplatform_v1.FeatureValueDestination() + destination.bigquery_destination.output_uri = "output_uri_value" + + feature_selector = aiplatform_v1.FeatureSelector() + feature_selector.id_matcher.ids = ['ids_value1', 'ids_value2'] + + request = aiplatform_v1.ExportFeatureValuesRequest( + entity_type="entity_type_value", + destination=destination, + feature_selector=feature_selector, + ) + + # Make the request + operation = client.export_feature_values(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ExportFeatureValuesRequest, dict]): + The request object. Request message for + [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues]. + entity_type (str): + Required. The resource name of the EntityType from which + to export Feature values. Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`` + + This corresponds to the ``entity_type`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.ExportFeatureValuesResponse` Response message for + [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [entity_type] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.ExportFeatureValuesRequest): + request = featurestore_service.ExportFeatureValuesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if entity_type is not None: + request.entity_type = entity_type + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.export_feature_values] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("entity_type", request.entity_type),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + featurestore_service.ExportFeatureValuesResponse, + metadata_type=featurestore_service.ExportFeatureValuesOperationMetadata, + ) + + # Done; return the response. + return response + + def delete_feature_values( + self, + request: Optional[ + Union[featurestore_service.DeleteFeatureValuesRequest, dict] + ] = None, + *, + entity_type: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Delete Feature values from Featurestore. + + The progress of the deletion is tracked by the returned + operation. The deleted feature values are guaranteed to + be invisible to subsequent read operations after the + operation is marked as successfully done. + + If a delete feature values operation fails, the feature + values returned from reads and exports may be + inconsistent. If consistency is required, the caller + must retry the same delete request again and wait till + the new operation returned is marked as successfully + done. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_feature_values(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceClient() + + # Initialize request argument(s) + select_entity = aiplatform_v1.SelectEntity() + select_entity.entity_id_selector.csv_source.gcs_source.uris = ['uris_value1', 'uris_value2'] + + request = aiplatform_v1.DeleteFeatureValuesRequest( + select_entity=select_entity, + entity_type="entity_type_value", + ) + + # Make the request + operation = client.delete_feature_values(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteFeatureValuesRequest, dict]): + The request object. Request message for + [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeatureValues]. + entity_type (str): + Required. The resource name of the EntityType grouping + the Features for which values are being deleted from. + Format: + ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`` + + This corresponds to the ``entity_type`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.DeleteFeatureValuesResponse` Response message for + [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeatureValues]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [entity_type] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.DeleteFeatureValuesRequest): + request = featurestore_service.DeleteFeatureValuesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if entity_type is not None: + request.entity_type = entity_type + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_feature_values] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("entity_type", request.entity_type),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + featurestore_service.DeleteFeatureValuesResponse, + metadata_type=featurestore_service.DeleteFeatureValuesOperationMetadata, + ) + + # Done; return the response. + return response + + def search_features( + self, + request: Optional[ + Union[featurestore_service.SearchFeaturesRequest, dict] + ] = None, + *, + location: Optional[str] = None, + query: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.SearchFeaturesPager: + r"""Searches Features matching a query in a given + project. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_search_features(): + # Create a client + client = aiplatform_v1.FeaturestoreServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.SearchFeaturesRequest( + location="location_value", + ) + + # Make the request + page_result = client.search_features(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.SearchFeaturesRequest, dict]): + The request object. Request message for + [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures]. + location (str): + Required. The resource name of the Location to search + Features. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``location`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + query (str): + Query string that is a conjunction of field-restricted + queries and/or field-restricted filters. + Field-restricted queries and filters can be combined + using ``AND`` to form a conjunction. + + A field query is in the form FIELD:QUERY. This + implicitly checks if QUERY exists as a substring within + Feature's FIELD. The QUERY and the FIELD are converted + to a sequence of words (i.e. tokens) for comparison. + This is done by: + + - Removing leading/trailing whitespace and tokenizing + the search value. Characters that are not one of + alphanumeric ``[a-zA-Z0-9]``, underscore ``_``, or + asterisk ``*`` are treated as delimiters for tokens. + ``*`` is treated as a wildcard that matches characters + within a token. + - Ignoring case. + - Prepending an asterisk to the first and appending an + asterisk to the last token in QUERY. + + A QUERY must be either a singular token or a phrase. A + phrase is one or multiple words enclosed in double + quotation marks ("). With phrases, the order of the + words is important. Words in the phrase must be matching + in order and consecutively. + + Supported FIELDs for field-restricted queries: + + - ``feature_id`` + - ``description`` + - ``entity_type_id`` + + Examples: + + - ``feature_id: foo`` --> Matches a Feature with ID + containing the substring ``foo`` (eg. ``foo``, + ``foofeature``, ``barfoo``). + - ``feature_id: foo*feature`` --> Matches a Feature with + ID containing the substring ``foo*feature`` (eg. + ``foobarfeature``). + - ``feature_id: foo AND description: bar`` --> Matches a + Feature with ID containing the substring ``foo`` and + description containing the substring ``bar``. + + Besides field queries, the following exact-match filters + are supported. The exact-match filters do not support + wildcards. Unlike field-restricted queries, exact-match + filters are case-sensitive. + + - ``feature_id``: Supports = comparisons. + - ``description``: Supports = comparisons. Multi-token + filters should be enclosed in quotes. + - ``entity_type_id``: Supports = comparisons. + - ``value_type``: Supports = and != comparisons. + - ``labels``: Supports key-value equality as well as key + presence. + - ``featurestore_id``: Supports = comparisons. + + Examples: + + - ``description = "foo bar"`` --> Any Feature with + description exactly equal to ``foo bar`` + - ``value_type = DOUBLE`` --> Features whose type is + DOUBLE. + - ``labels.active = yes AND labels.env = prod`` --> + Features having both (active: yes) and (env: prod) + labels. + - ``labels.env: *`` --> Any Feature which has a label + with ``env`` as the key. + + This corresponds to the ``query`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.featurestore_service.pagers.SearchFeaturesPager: + Response message for + [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [location, query] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, featurestore_service.SearchFeaturesRequest): + request = featurestore_service.SearchFeaturesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if location is not None: + request.location = location + if query is not None: + request.query = query + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.search_features] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("location", request.location),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.SearchFeaturesPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def __enter__(self) -> "FeaturestoreServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + +__all__ = ("FeaturestoreServiceClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_service/pagers.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_service/pagers.py new file mode 100644 index 0000000000000000000000000000000000000000..c3e82304f010c14745ac11507e7aa1c9d8121f88 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/featurestore_service/pagers.py @@ -0,0 +1,673 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import retry_async as retries_async +from typing import ( + Any, + AsyncIterator, + Awaitable, + Callable, + Sequence, + Tuple, + Optional, + Iterator, + Union, +) + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] + OptionalAsyncRetry = Union[ + retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None + ] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.types import entity_type +from google.cloud.aiplatform_v1.types import feature +from google.cloud.aiplatform_v1.types import featurestore +from google.cloud.aiplatform_v1.types import featurestore_service + + +class ListFeaturestoresPager: + """A pager for iterating through ``list_featurestores`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListFeaturestoresResponse` object, and + provides an ``__iter__`` method to iterate through its + ``featurestores`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListFeaturestores`` requests and continue to iterate + through the ``featurestores`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListFeaturestoresResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., featurestore_service.ListFeaturestoresResponse], + request: featurestore_service.ListFeaturestoresRequest, + response: featurestore_service.ListFeaturestoresResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListFeaturestoresRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListFeaturestoresResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = featurestore_service.ListFeaturestoresRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[featurestore_service.ListFeaturestoresResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[featurestore.Featurestore]: + for page in self.pages: + yield from page.featurestores + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListFeaturestoresAsyncPager: + """A pager for iterating through ``list_featurestores`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListFeaturestoresResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``featurestores`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListFeaturestores`` requests and continue to iterate + through the ``featurestores`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListFeaturestoresResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[ + ..., Awaitable[featurestore_service.ListFeaturestoresResponse] + ], + request: featurestore_service.ListFeaturestoresRequest, + response: featurestore_service.ListFeaturestoresResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListFeaturestoresRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListFeaturestoresResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = featurestore_service.ListFeaturestoresRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages( + self, + ) -> AsyncIterator[featurestore_service.ListFeaturestoresResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[featurestore.Featurestore]: + async def async_generator(): + async for page in self.pages: + for response in page.featurestores: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListEntityTypesPager: + """A pager for iterating through ``list_entity_types`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListEntityTypesResponse` object, and + provides an ``__iter__`` method to iterate through its + ``entity_types`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListEntityTypes`` requests and continue to iterate + through the ``entity_types`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListEntityTypesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., featurestore_service.ListEntityTypesResponse], + request: featurestore_service.ListEntityTypesRequest, + response: featurestore_service.ListEntityTypesResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListEntityTypesRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListEntityTypesResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = featurestore_service.ListEntityTypesRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[featurestore_service.ListEntityTypesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[entity_type.EntityType]: + for page in self.pages: + yield from page.entity_types + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListEntityTypesAsyncPager: + """A pager for iterating through ``list_entity_types`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListEntityTypesResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``entity_types`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListEntityTypes`` requests and continue to iterate + through the ``entity_types`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListEntityTypesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[featurestore_service.ListEntityTypesResponse]], + request: featurestore_service.ListEntityTypesRequest, + response: featurestore_service.ListEntityTypesResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListEntityTypesRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListEntityTypesResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = featurestore_service.ListEntityTypesRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages( + self, + ) -> AsyncIterator[featurestore_service.ListEntityTypesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[entity_type.EntityType]: + async def async_generator(): + async for page in self.pages: + for response in page.entity_types: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListFeaturesPager: + """A pager for iterating through ``list_features`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListFeaturesResponse` object, and + provides an ``__iter__`` method to iterate through its + ``features`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListFeatures`` requests and continue to iterate + through the ``features`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListFeaturesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., featurestore_service.ListFeaturesResponse], + request: featurestore_service.ListFeaturesRequest, + response: featurestore_service.ListFeaturesResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListFeaturesRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListFeaturesResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = featurestore_service.ListFeaturesRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[featurestore_service.ListFeaturesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[feature.Feature]: + for page in self.pages: + yield from page.features + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListFeaturesAsyncPager: + """A pager for iterating through ``list_features`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListFeaturesResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``features`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListFeatures`` requests and continue to iterate + through the ``features`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListFeaturesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[featurestore_service.ListFeaturesResponse]], + request: featurestore_service.ListFeaturesRequest, + response: featurestore_service.ListFeaturesResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListFeaturesRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListFeaturesResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = featurestore_service.ListFeaturesRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[featurestore_service.ListFeaturesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[feature.Feature]: + async def async_generator(): + async for page in self.pages: + for response in page.features: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class SearchFeaturesPager: + """A pager for iterating through ``search_features`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.SearchFeaturesResponse` object, and + provides an ``__iter__`` method to iterate through its + ``features`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``SearchFeatures`` requests and continue to iterate + through the ``features`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.SearchFeaturesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., featurestore_service.SearchFeaturesResponse], + request: featurestore_service.SearchFeaturesRequest, + response: featurestore_service.SearchFeaturesResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.SearchFeaturesRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.SearchFeaturesResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = featurestore_service.SearchFeaturesRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[featurestore_service.SearchFeaturesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[feature.Feature]: + for page in self.pages: + yield from page.features + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class SearchFeaturesAsyncPager: + """A pager for iterating through ``search_features`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.SearchFeaturesResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``features`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``SearchFeatures`` requests and continue to iterate + through the ``features`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.SearchFeaturesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[featurestore_service.SearchFeaturesResponse]], + request: featurestore_service.SearchFeaturesRequest, + response: featurestore_service.SearchFeaturesResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.SearchFeaturesRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.SearchFeaturesResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = featurestore_service.SearchFeaturesRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[featurestore_service.SearchFeaturesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[feature.Feature]: + async def async_generator(): + async for page in self.pages: + for response in page.features: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e99930ebf4e72997cba0ecb8d3da7baa0f6ad8ae --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import GenAiCacheServiceClient +from .async_client import GenAiCacheServiceAsyncClient + +__all__ = ( + "GenAiCacheServiceClient", + "GenAiCacheServiceAsyncClient", +) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/__pycache__/__init__.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/__pycache__/__init__.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..33666bee29580cc4786df72641257fbd15b60548 Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/__pycache__/__init__.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/__pycache__/async_client.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/__pycache__/async_client.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..a891eb60492bedb9460adb82ebb684ce7f770deb Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/__pycache__/async_client.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/__pycache__/client.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/__pycache__/client.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..2f2f6e96643900f40e83873d3a8ad5e9cf4a66e5 Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/__pycache__/client.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/__pycache__/pagers.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/__pycache__/pagers.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..6db8e241546efff76aad03d4d28d2f503f58ba81 Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/__pycache__/pagers.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/async_client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/async_client.py new file mode 100644 index 0000000000000000000000000000000000000000..19bebec2177ce6711bb5c52886457929e18c9552 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/async_client.py @@ -0,0 +1,1624 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging as std_logging +from collections import OrderedDict +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, +) + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.services.gen_ai_cache_service import pagers +from google.cloud.aiplatform_v1.types import cached_content +from google.cloud.aiplatform_v1.types import cached_content as gca_cached_content +from google.cloud.aiplatform_v1.types import content +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import gen_ai_cache_service +from google.cloud.aiplatform_v1.types import tool +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.protobuf.duration_pb2 as duration_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +from .transports.base import GenAiCacheServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import GenAiCacheServiceGrpcAsyncIOTransport +from .client import GenAiCacheServiceClient + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class GenAiCacheServiceAsyncClient: + """Service for managing Vertex AI's CachedContent resource.""" + + _client: GenAiCacheServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = GenAiCacheServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = GenAiCacheServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = GenAiCacheServiceClient._DEFAULT_ENDPOINT_TEMPLATE + _DEFAULT_UNIVERSE = GenAiCacheServiceClient._DEFAULT_UNIVERSE + + cached_content_path = staticmethod(GenAiCacheServiceClient.cached_content_path) + parse_cached_content_path = staticmethod( + GenAiCacheServiceClient.parse_cached_content_path + ) + rag_corpus_path = staticmethod(GenAiCacheServiceClient.rag_corpus_path) + parse_rag_corpus_path = staticmethod(GenAiCacheServiceClient.parse_rag_corpus_path) + common_billing_account_path = staticmethod( + GenAiCacheServiceClient.common_billing_account_path + ) + parse_common_billing_account_path = staticmethod( + GenAiCacheServiceClient.parse_common_billing_account_path + ) + common_folder_path = staticmethod(GenAiCacheServiceClient.common_folder_path) + parse_common_folder_path = staticmethod( + GenAiCacheServiceClient.parse_common_folder_path + ) + common_organization_path = staticmethod( + GenAiCacheServiceClient.common_organization_path + ) + parse_common_organization_path = staticmethod( + GenAiCacheServiceClient.parse_common_organization_path + ) + common_project_path = staticmethod(GenAiCacheServiceClient.common_project_path) + parse_common_project_path = staticmethod( + GenAiCacheServiceClient.parse_common_project_path + ) + common_location_path = staticmethod(GenAiCacheServiceClient.common_location_path) + parse_common_location_path = staticmethod( + GenAiCacheServiceClient.parse_common_location_path + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + GenAiCacheServiceAsyncClient: The constructed client. + """ + sa_info_func = ( + GenAiCacheServiceClient.from_service_account_info.__func__ # type: ignore + ) + return sa_info_func(GenAiCacheServiceAsyncClient, info, *args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + GenAiCacheServiceAsyncClient: The constructed client. + """ + sa_file_func = ( + GenAiCacheServiceClient.from_service_account_file.__func__ # type: ignore + ) + return sa_file_func(GenAiCacheServiceAsyncClient, filename, *args, **kwargs) + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[ClientOptions] = None + ): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return GenAiCacheServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> GenAiCacheServiceTransport: + """Returns the transport used by the client instance. + + Returns: + GenAiCacheServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = GenAiCacheServiceClient.get_transport_class + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + GenAiCacheServiceTransport, + Callable[..., GenAiCacheServiceTransport], + ] + ] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the gen ai cache service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,GenAiCacheServiceTransport,Callable[..., GenAiCacheServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport to use. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the GenAiCacheServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = GenAiCacheServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.GenAiCacheServiceAsyncClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "universeDomain": getattr( + self._client._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._client._transport._credentials).__module__}.{type(self._client._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, "get_cred_info", lambda: None + )(), + } + if hasattr(self._client._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "credentialsType": None, + } + ), + ) + + async def create_cached_content( + self, + request: Optional[ + Union[gen_ai_cache_service.CreateCachedContentRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + cached_content: Optional[gca_cached_content.CachedContent] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_cached_content.CachedContent: + r"""Creates cached content, this call will initialize the + cached content in the data storage, and users need to + pay for the cache data storage. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_cached_content(): + # Create a client + client = aiplatform_v1.GenAiCacheServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.CreateCachedContentRequest( + parent="parent_value", + ) + + # Make the request + response = await client.create_cached_content(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateCachedContentRequest, dict]]): + The request object. Request message for + [GenAiCacheService.CreateCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.CreateCachedContent]. + parent (:class:`str`): + Required. The parent resource where + the cached content will be created + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + cached_content (:class:`google.cloud.aiplatform_v1.types.CachedContent`): + Required. The cached content to + create + + This corresponds to the ``cached_content`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.CachedContent: + A resource used in LLM queries for + users to explicitly specify what to + cache and how to cache. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, cached_content] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, gen_ai_cache_service.CreateCachedContentRequest): + request = gen_ai_cache_service.CreateCachedContentRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if cached_content is not None: + request.cached_content = cached_content + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_cached_content + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_cached_content( + self, + request: Optional[ + Union[gen_ai_cache_service.GetCachedContentRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> cached_content.CachedContent: + r"""Gets cached content configurations + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_cached_content(): + # Create a client + client = aiplatform_v1.GenAiCacheServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetCachedContentRequest( + name="name_value", + ) + + # Make the request + response = await client.get_cached_content(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetCachedContentRequest, dict]]): + The request object. Request message for + [GenAiCacheService.GetCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.GetCachedContent]. + name (:class:`str`): + Required. The resource name referring + to the cached content + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.CachedContent: + A resource used in LLM queries for + users to explicitly specify what to + cache and how to cache. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, gen_ai_cache_service.GetCachedContentRequest): + request = gen_ai_cache_service.GetCachedContentRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_cached_content + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def update_cached_content( + self, + request: Optional[ + Union[gen_ai_cache_service.UpdateCachedContentRequest, dict] + ] = None, + *, + cached_content: Optional[gca_cached_content.CachedContent] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_cached_content.CachedContent: + r"""Updates cached content configurations + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_update_cached_content(): + # Create a client + client = aiplatform_v1.GenAiCacheServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.UpdateCachedContentRequest( + ) + + # Make the request + response = await client.update_cached_content(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UpdateCachedContentRequest, dict]]): + The request object. Request message for + [GenAiCacheService.UpdateCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.UpdateCachedContent]. + Only expire_time or ttl can be updated. + cached_content (:class:`google.cloud.aiplatform_v1.types.CachedContent`): + Required. The cached content to + update + + This corresponds to the ``cached_content`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Required. The list of fields to + update. + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.CachedContent: + A resource used in LLM queries for + users to explicitly specify what to + cache and how to cache. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [cached_content, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, gen_ai_cache_service.UpdateCachedContentRequest): + request = gen_ai_cache_service.UpdateCachedContentRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if cached_content is not None: + request.cached_content = cached_content + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.update_cached_content + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("cached_content.name", request.cached_content.name),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_cached_content( + self, + request: Optional[ + Union[gen_ai_cache_service.DeleteCachedContentRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes cached content + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_cached_content(): + # Create a client + client = aiplatform_v1.GenAiCacheServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteCachedContentRequest( + name="name_value", + ) + + # Make the request + await client.delete_cached_content(request=request) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteCachedContentRequest, dict]]): + The request object. Request message for + [GenAiCacheService.DeleteCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.DeleteCachedContent]. + name (:class:`str`): + Required. The resource name referring + to the cached content + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, gen_ai_cache_service.DeleteCachedContentRequest): + request = gen_ai_cache_service.DeleteCachedContentRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_cached_content + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def list_cached_contents( + self, + request: Optional[ + Union[gen_ai_cache_service.ListCachedContentsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListCachedContentsAsyncPager: + r"""Lists cached contents in a project + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_cached_contents(): + # Create a client + client = aiplatform_v1.GenAiCacheServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListCachedContentsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_cached_contents(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListCachedContentsRequest, dict]]): + The request object. Request to list CachedContents. + parent (:class:`str`): + Required. The parent, which owns this + collection of cached contents. + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.gen_ai_cache_service.pagers.ListCachedContentsAsyncPager: + Response with a list of + CachedContents. + Iterating over this object will yield + results and resolve additional pages + automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, gen_ai_cache_service.ListCachedContentsRequest): + request = gen_ai_cache_service.ListCachedContentsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_cached_contents + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListCachedContentsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[ + self._client._transport.test_iam_permissions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self) -> "GenAiCacheServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +__all__ = ("GenAiCacheServiceAsyncClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/client.py new file mode 100644 index 0000000000000000000000000000000000000000..8deb96e61529cda8e14f3ae088d4205b9c99275b --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/client.py @@ -0,0 +1,2137 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from http import HTTPStatus +import json +import logging as std_logging +import os +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, + cast, +) +import warnings + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + +from google.cloud.aiplatform_v1.services.gen_ai_cache_service import pagers +from google.cloud.aiplatform_v1.types import cached_content +from google.cloud.aiplatform_v1.types import cached_content as gca_cached_content +from google.cloud.aiplatform_v1.types import content +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import gen_ai_cache_service +from google.cloud.aiplatform_v1.types import tool +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.protobuf.duration_pb2 as duration_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +from .transports.base import GenAiCacheServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import GenAiCacheServiceGrpcTransport +from .transports.grpc_asyncio import GenAiCacheServiceGrpcAsyncIOTransport +from .transports.rest import GenAiCacheServiceRestTransport + +try: + from .transports.rest_asyncio import AsyncGenAiCacheServiceRestTransport + + HAS_ASYNC_REST_DEPENDENCIES = True +except ImportError as e: # pragma: NO COVER + HAS_ASYNC_REST_DEPENDENCIES = False + ASYNC_REST_EXCEPTION = e + + +class GenAiCacheServiceClientMeta(type): + """Metaclass for the GenAiCacheService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + + _transport_registry = ( + OrderedDict() + ) # type: Dict[str, Type[GenAiCacheServiceTransport]] + _transport_registry["grpc"] = GenAiCacheServiceGrpcTransport + _transport_registry["grpc_asyncio"] = GenAiCacheServiceGrpcAsyncIOTransport + _transport_registry["rest"] = GenAiCacheServiceRestTransport + if HAS_ASYNC_REST_DEPENDENCIES: # pragma: NO COVER + _transport_registry["rest_asyncio"] = AsyncGenAiCacheServiceRestTransport + + def get_transport_class( + cls, + label: Optional[str] = None, + ) -> Type[GenAiCacheServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if ( + label == "rest_asyncio" and not HAS_ASYNC_REST_DEPENDENCIES + ): # pragma: NO COVER + raise ASYNC_REST_EXCEPTION + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class GenAiCacheServiceClient(metaclass=GenAiCacheServiceClientMeta): + """Service for managing Vertex AI's CachedContent resource.""" + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "aiplatform.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @staticmethod + def _use_client_cert_effective(): + """Returns whether client certificate should be used for mTLS if the + google-auth version supports should_use_client_cert automatic mTLS enablement. + + Alternatively, read from the GOOGLE_API_USE_CLIENT_CERTIFICATE env var. + + Returns: + bool: whether client certificate should be used for mTLS + Raises: + ValueError: (If using a version of google-auth without should_use_client_cert and + GOOGLE_API_USE_CLIENT_CERTIFICATE is set to an unexpected value.) + """ + # check if google-auth version supports should_use_client_cert for automatic mTLS enablement + if hasattr(mtls, "should_use_client_cert"): # pragma: NO COVER + return mtls.should_use_client_cert() + else: # pragma: NO COVER + # if unsupported, fallback to reading from env var + use_client_cert_str = os.getenv( + "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false" + ).lower() + if use_client_cert_str not in ("true", "false"): + raise ValueError( + "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be" + " either `true` or `false`" + ) + return use_client_cert_str == "true" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + GenAiCacheServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + GenAiCacheServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file(filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> GenAiCacheServiceTransport: + """Returns the transport used by the client instance. + + Returns: + GenAiCacheServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def cached_content_path( + project: str, + location: str, + cached_content: str, + ) -> str: + """Returns a fully-qualified cached_content string.""" + return "projects/{project}/locations/{location}/cachedContents/{cached_content}".format( + project=project, + location=location, + cached_content=cached_content, + ) + + @staticmethod + def parse_cached_content_path(path: str) -> Dict[str, str]: + """Parses a cached_content path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/cachedContents/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def rag_corpus_path( + project: str, + location: str, + rag_corpus: str, + ) -> str: + """Returns a fully-qualified rag_corpus string.""" + return "projects/{project}/locations/{location}/ragCorpora/{rag_corpus}".format( + project=project, + location=location, + rag_corpus=rag_corpus, + ) + + @staticmethod + def parse_rag_corpus_path(path: str) -> Dict[str, str]: + """Parses a rag_corpus path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/ragCorpora/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path( + billing_account: str, + ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format( + billing_account=billing_account, + ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str, str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path( + folder: str, + ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format( + folder=folder, + ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str, str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path( + organization: str, + ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format( + organization=organization, + ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str, str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path( + project: str, + ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format( + project=project, + ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str, str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path( + project: str, + location: str, + ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format( + project=project, + location=location, + ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str, str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[client_options_lib.ClientOptions] = None + ): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn( + "get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning, + ) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = GenAiCacheServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert: + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = GenAiCacheServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + return use_client_cert, use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint( + api_override, client_cert_source, universe_domain, use_mtls_endpoint + ): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + _default_universe = GenAiCacheServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError( + f"mTLS is not supported in any universe other than {_default_universe}." + ) + api_endpoint = GenAiCacheServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = GenAiCacheServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format( + UNIVERSE_DOMAIN=universe_domain + ) + return api_endpoint + + @staticmethod + def _get_universe_domain( + client_universe_domain: Optional[str], universe_domain_env: Optional[str] + ) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = GenAiCacheServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + + # NOTE (b/349488459): universe validation is disabled until further notice. + return True + + def _add_cred_info_for_auth_errors( + self, error: core_exceptions.GoogleAPICallError + ) -> None: + """Adds credential info string to error details for 401/403/404 errors. + + Args: + error (google.api_core.exceptions.GoogleAPICallError): The error to add the cred info. + """ + if error.code not in [ + HTTPStatus.UNAUTHORIZED, + HTTPStatus.FORBIDDEN, + HTTPStatus.NOT_FOUND, + ]: + return + + cred = self._transport._credentials + + # get_cred_info is only available in google-auth>=2.35.0 + if not hasattr(cred, "get_cred_info"): + return + + # ignore the type check since pypy test fails when get_cred_info + # is not available + cred_info = cred.get_cred_info() # type: ignore + if cred_info and hasattr(error._details, "append"): + error._details.append(json.dumps(cred_info)) + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + GenAiCacheServiceTransport, + Callable[..., GenAiCacheServiceTransport], + ] + ] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the gen ai cache service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,GenAiCacheServiceTransport,Callable[..., GenAiCacheServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the GenAiCacheServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast( + client_options_lib.ClientOptions, self._client_options + ) + + universe_domain_opt = getattr(self._client_options, "universe_domain", None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = ( + GenAiCacheServiceClient._read_environment_variables() + ) + self._client_cert_source = GenAiCacheServiceClient._get_client_cert_source( + self._client_options.client_cert_source, self._use_client_cert + ) + self._universe_domain = GenAiCacheServiceClient._get_universe_domain( + universe_domain_opt, self._universe_domain_env + ) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + if CLIENT_LOGGING_SUPPORTED: # pragma: NO COVER + # Setup logging. + client_logging.initialize_logging() + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError( + "client_options.api_key and credentials are mutually exclusive" + ) + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance(transport, GenAiCacheServiceTransport) + if transport_provided: + # transport is a GenAiCacheServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError( + "When providing a transport instance, " + "provide its credentials directly." + ) + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(GenAiCacheServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = ( + self._api_endpoint + or GenAiCacheServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint, + ) + ) + + if not transport_provided: + transport_init: Union[ + Type[GenAiCacheServiceTransport], + Callable[..., GenAiCacheServiceTransport], + ] = ( + GenAiCacheServiceClient.get_transport_class(transport) + if isinstance(transport, str) or transport is None + else cast(Callable[..., GenAiCacheServiceTransport], transport) + ) + + if "rest_asyncio" in str(transport_init): + unsupported_params = { + "google.api_core.client_options.ClientOptions.credentials_file": self._client_options.credentials_file, + "google.api_core.client_options.ClientOptions.scopes": self._client_options.scopes, + "google.api_core.client_options.ClientOptions.quota_project_id": self._client_options.quota_project_id, + "google.api_core.client_options.ClientOptions.client_cert_source": self._client_options.client_cert_source, + "google.api_core.client_options.ClientOptions.api_audience": self._client_options.api_audience, + } + provided_unsupported_params = [ + name + for name, value in unsupported_params.items() + if value is not None + ] + if provided_unsupported_params: + raise core_exceptions.AsyncRestUnsupportedParameterError( # type: ignore + f"The following provided parameters are not supported for `transport=rest_asyncio`: {', '.join(provided_unsupported_params)}" + ) + self._transport = transport_init( + credentials=credentials, + host=self._api_endpoint, + client_info=client_info, + ) + return + + import google.auth._default # type: ignore + + if api_key_value and hasattr( + google.auth._default, "get_api_key_credentials" + ): + credentials = google.auth._default.get_api_key_credentials( + api_key_value + ) + + # initialize with the provided callable or the passed in class + self._transport = transport_init( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + if "async" not in str(self._transport): + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.GenAiCacheServiceClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "universeDomain": getattr( + self._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._transport._credentials).__module__}.{type(self._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, + "get_cred_info", + lambda: None, + )(), + } + if hasattr(self._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "credentialsType": None, + } + ), + ) + + def create_cached_content( + self, + request: Optional[ + Union[gen_ai_cache_service.CreateCachedContentRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + cached_content: Optional[gca_cached_content.CachedContent] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_cached_content.CachedContent: + r"""Creates cached content, this call will initialize the + cached content in the data storage, and users need to + pay for the cache data storage. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_cached_content(): + # Create a client + client = aiplatform_v1.GenAiCacheServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.CreateCachedContentRequest( + parent="parent_value", + ) + + # Make the request + response = client.create_cached_content(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateCachedContentRequest, dict]): + The request object. Request message for + [GenAiCacheService.CreateCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.CreateCachedContent]. + parent (str): + Required. The parent resource where + the cached content will be created + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + cached_content (google.cloud.aiplatform_v1.types.CachedContent): + Required. The cached content to + create + + This corresponds to the ``cached_content`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.CachedContent: + A resource used in LLM queries for + users to explicitly specify what to + cache and how to cache. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, cached_content] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, gen_ai_cache_service.CreateCachedContentRequest): + request = gen_ai_cache_service.CreateCachedContentRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if cached_content is not None: + request.cached_content = cached_content + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_cached_content] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def get_cached_content( + self, + request: Optional[ + Union[gen_ai_cache_service.GetCachedContentRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> cached_content.CachedContent: + r"""Gets cached content configurations + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_cached_content(): + # Create a client + client = aiplatform_v1.GenAiCacheServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetCachedContentRequest( + name="name_value", + ) + + # Make the request + response = client.get_cached_content(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetCachedContentRequest, dict]): + The request object. Request message for + [GenAiCacheService.GetCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.GetCachedContent]. + name (str): + Required. The resource name referring + to the cached content + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.CachedContent: + A resource used in LLM queries for + users to explicitly specify what to + cache and how to cache. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, gen_ai_cache_service.GetCachedContentRequest): + request = gen_ai_cache_service.GetCachedContentRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_cached_content] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def update_cached_content( + self, + request: Optional[ + Union[gen_ai_cache_service.UpdateCachedContentRequest, dict] + ] = None, + *, + cached_content: Optional[gca_cached_content.CachedContent] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_cached_content.CachedContent: + r"""Updates cached content configurations + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_update_cached_content(): + # Create a client + client = aiplatform_v1.GenAiCacheServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.UpdateCachedContentRequest( + ) + + # Make the request + response = client.update_cached_content(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UpdateCachedContentRequest, dict]): + The request object. Request message for + [GenAiCacheService.UpdateCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.UpdateCachedContent]. + Only expire_time or ttl can be updated. + cached_content (google.cloud.aiplatform_v1.types.CachedContent): + Required. The cached content to + update + + This corresponds to the ``cached_content`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Required. The list of fields to + update. + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.CachedContent: + A resource used in LLM queries for + users to explicitly specify what to + cache and how to cache. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [cached_content, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, gen_ai_cache_service.UpdateCachedContentRequest): + request = gen_ai_cache_service.UpdateCachedContentRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if cached_content is not None: + request.cached_content = cached_content + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.update_cached_content] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("cached_content.name", request.cached_content.name),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def delete_cached_content( + self, + request: Optional[ + Union[gen_ai_cache_service.DeleteCachedContentRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes cached content + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_cached_content(): + # Create a client + client = aiplatform_v1.GenAiCacheServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteCachedContentRequest( + name="name_value", + ) + + # Make the request + client.delete_cached_content(request=request) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteCachedContentRequest, dict]): + The request object. Request message for + [GenAiCacheService.DeleteCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.DeleteCachedContent]. + name (str): + Required. The resource name referring + to the cached content + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, gen_ai_cache_service.DeleteCachedContentRequest): + request = gen_ai_cache_service.DeleteCachedContentRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_cached_content] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def list_cached_contents( + self, + request: Optional[ + Union[gen_ai_cache_service.ListCachedContentsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListCachedContentsPager: + r"""Lists cached contents in a project + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_cached_contents(): + # Create a client + client = aiplatform_v1.GenAiCacheServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListCachedContentsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_cached_contents(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListCachedContentsRequest, dict]): + The request object. Request to list CachedContents. + parent (str): + Required. The parent, which owns this + collection of cached contents. + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.gen_ai_cache_service.pagers.ListCachedContentsPager: + Response with a list of + CachedContents. + Iterating over this object will yield + results and resolve additional pages + automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, gen_ai_cache_service.ListCachedContentsRequest): + request = gen_ai_cache_service.ListCachedContentsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_cached_contents] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListCachedContentsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def __enter__(self) -> "GenAiCacheServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + +__all__ = ("GenAiCacheServiceClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/pagers.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/pagers.py new file mode 100644 index 0000000000000000000000000000000000000000..083a0fa3b94b0ff655b7ce0e47eb83edb2eb290c --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/pagers.py @@ -0,0 +1,201 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import retry_async as retries_async +from typing import ( + Any, + AsyncIterator, + Awaitable, + Callable, + Sequence, + Tuple, + Optional, + Iterator, + Union, +) + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] + OptionalAsyncRetry = Union[ + retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None + ] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.types import cached_content +from google.cloud.aiplatform_v1.types import gen_ai_cache_service + + +class ListCachedContentsPager: + """A pager for iterating through ``list_cached_contents`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListCachedContentsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``cached_contents`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListCachedContents`` requests and continue to iterate + through the ``cached_contents`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListCachedContentsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., gen_ai_cache_service.ListCachedContentsResponse], + request: gen_ai_cache_service.ListCachedContentsRequest, + response: gen_ai_cache_service.ListCachedContentsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListCachedContentsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListCachedContentsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = gen_ai_cache_service.ListCachedContentsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[gen_ai_cache_service.ListCachedContentsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[cached_content.CachedContent]: + for page in self.pages: + yield from page.cached_contents + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListCachedContentsAsyncPager: + """A pager for iterating through ``list_cached_contents`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListCachedContentsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``cached_contents`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListCachedContents`` requests and continue to iterate + through the ``cached_contents`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListCachedContentsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[ + ..., Awaitable[gen_ai_cache_service.ListCachedContentsResponse] + ], + request: gen_ai_cache_service.ListCachedContentsRequest, + response: gen_ai_cache_service.ListCachedContentsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListCachedContentsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListCachedContentsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = gen_ai_cache_service.ListCachedContentsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages( + self, + ) -> AsyncIterator[gen_ai_cache_service.ListCachedContentsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[cached_content.CachedContent]: + async def async_generator(): + async for page in self.pages: + for response in page.cached_contents: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/transports/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/transports/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..13ea33cff7a8d4afce6f2310ebd9b2ace2a6de52 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/transports/__init__.py @@ -0,0 +1,54 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from typing import Dict, Type, Tuple + +from .base import GenAiCacheServiceTransport +from .grpc import GenAiCacheServiceGrpcTransport +from .grpc_asyncio import GenAiCacheServiceGrpcAsyncIOTransport +from .rest import GenAiCacheServiceRestTransport +from .rest import GenAiCacheServiceRestInterceptor + +ASYNC_REST_CLASSES: Tuple[str, ...] +try: + from .rest_asyncio import AsyncGenAiCacheServiceRestTransport + from .rest_asyncio import AsyncGenAiCacheServiceRestInterceptor + + ASYNC_REST_CLASSES = ( + "AsyncGenAiCacheServiceRestTransport", + "AsyncGenAiCacheServiceRestInterceptor", + ) + HAS_REST_ASYNC = True +except ImportError: # pragma: NO COVER + ASYNC_REST_CLASSES = () + HAS_REST_ASYNC = False + + +# Compile a registry of transports. +_transport_registry = OrderedDict() # type: Dict[str, Type[GenAiCacheServiceTransport]] +_transport_registry["grpc"] = GenAiCacheServiceGrpcTransport +_transport_registry["grpc_asyncio"] = GenAiCacheServiceGrpcAsyncIOTransport +_transport_registry["rest"] = GenAiCacheServiceRestTransport +if HAS_REST_ASYNC: # pragma: NO COVER + _transport_registry["rest_asyncio"] = AsyncGenAiCacheServiceRestTransport + +__all__ = ( + "GenAiCacheServiceTransport", + "GenAiCacheServiceGrpcTransport", + "GenAiCacheServiceGrpcAsyncIOTransport", + "GenAiCacheServiceRestTransport", + "GenAiCacheServiceRestInterceptor", +) + ASYNC_REST_CLASSES diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/transports/__pycache__/__init__.cpython-311.pyc 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b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/transports/__pycache__/rest_base.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/transports/base.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/transports/base.py new file mode 100644 index 0000000000000000000000000000000000000000..5068713a2381bd890a1a39b91a0e3b4bfe59f2f2 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/transports/base.py @@ -0,0 +1,391 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import abc +from typing import Awaitable, Callable, Dict, Optional, Sequence, Union + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +import google.auth # type: ignore +import google.api_core +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +from google.cloud.aiplatform_v1.types import cached_content +from google.cloud.aiplatform_v1.types import cached_content as gca_cached_content +from google.cloud.aiplatform_v1.types import gen_ai_cache_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +class GenAiCacheServiceTransport(abc.ABC): + """Abstract transport class for GenAiCacheService.""" + + AUTH_SCOPES = ("https://www.googleapis.com/auth/cloud-platform",) + + DEFAULT_HOST: str = "aiplatform.googleapis.com" + + def __init__( + self, + *, + host: str = DEFAULT_HOST, + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + **kwargs, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. This argument will be + removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A list of scopes. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + """ + + # Save the scopes. + self._scopes = scopes + if not hasattr(self, "_ignore_credentials"): + self._ignore_credentials: bool = False + + # If no credentials are provided, then determine the appropriate + # defaults. + if credentials and credentials_file: + raise core_exceptions.DuplicateCredentialArgs( + "'credentials_file' and 'credentials' are mutually exclusive" + ) + + if credentials_file is not None: + credentials, _ = google.auth.load_credentials_from_file( + credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + default_scopes=self.AUTH_SCOPES, + ) + elif credentials is None and not self._ignore_credentials: + credentials, _ = google.auth.default( + scopes=scopes, + quota_project_id=quota_project_id, + default_scopes=self.AUTH_SCOPES, + ) + # Don't apply audience if the credentials file passed from user. + if hasattr(credentials, "with_gdch_audience"): + credentials = credentials.with_gdch_audience( + api_audience if api_audience else host + ) + + # If the credentials are service account credentials, then always try to use self signed JWT. + if ( + always_use_jwt_access + and isinstance(credentials, service_account.Credentials) + and hasattr(service_account.Credentials, "with_always_use_jwt_access") + ): + credentials = credentials.with_always_use_jwt_access(True) + + # Save the credentials. + self._credentials = credentials + + # Save the hostname. Default to port 443 (HTTPS) if none is specified. + if ":" not in host: + host += ":443" + self._host = host + + @property + def host(self): + return self._host + + def _prep_wrapped_messages(self, client_info): + # Precompute the wrapped methods. + self._wrapped_methods = { + self.create_cached_content: gapic_v1.method.wrap_method( + self.create_cached_content, + default_timeout=None, + client_info=client_info, + ), + self.get_cached_content: gapic_v1.method.wrap_method( + self.get_cached_content, + default_timeout=None, + client_info=client_info, + ), + self.update_cached_content: gapic_v1.method.wrap_method( + self.update_cached_content, + default_timeout=None, + client_info=client_info, + ), + self.delete_cached_content: gapic_v1.method.wrap_method( + self.delete_cached_content, + default_timeout=None, + client_info=client_info, + ), + self.list_cached_contents: gapic_v1.method.wrap_method( + self.list_cached_contents, + default_timeout=None, + client_info=client_info, + ), + self.get_location: gapic_v1.method.wrap_method( + self.get_location, + default_timeout=None, + client_info=client_info, + ), + self.list_locations: gapic_v1.method.wrap_method( + self.list_locations, + default_timeout=None, + client_info=client_info, + ), + self.get_iam_policy: gapic_v1.method.wrap_method( + self.get_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.set_iam_policy: gapic_v1.method.wrap_method( + self.set_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.test_iam_permissions: gapic_v1.method.wrap_method( + self.test_iam_permissions, + default_timeout=None, + client_info=client_info, + ), + self.cancel_operation: gapic_v1.method.wrap_method( + self.cancel_operation, + default_timeout=None, + client_info=client_info, + ), + self.delete_operation: gapic_v1.method.wrap_method( + self.delete_operation, + default_timeout=None, + client_info=client_info, + ), + self.get_operation: gapic_v1.method.wrap_method( + self.get_operation, + default_timeout=None, + client_info=client_info, + ), + self.list_operations: gapic_v1.method.wrap_method( + self.list_operations, + default_timeout=None, + client_info=client_info, + ), + self.wait_operation: gapic_v1.method.wrap_method( + self.wait_operation, + default_timeout=None, + client_info=client_info, + ), + } + + def close(self): + """Closes resources associated with the transport. + + .. warning:: + Only call this method if the transport is NOT shared + with other clients - this may cause errors in other clients! + """ + raise NotImplementedError() + + @property + def create_cached_content( + self, + ) -> Callable[ + [gen_ai_cache_service.CreateCachedContentRequest], + Union[ + gca_cached_content.CachedContent, + Awaitable[gca_cached_content.CachedContent], + ], + ]: + raise NotImplementedError() + + @property + def get_cached_content( + self, + ) -> Callable[ + [gen_ai_cache_service.GetCachedContentRequest], + Union[cached_content.CachedContent, Awaitable[cached_content.CachedContent]], + ]: + raise NotImplementedError() + + @property + def update_cached_content( + self, + ) -> Callable[ + [gen_ai_cache_service.UpdateCachedContentRequest], + Union[ + gca_cached_content.CachedContent, + Awaitable[gca_cached_content.CachedContent], + ], + ]: + raise NotImplementedError() + + @property + def delete_cached_content( + self, + ) -> Callable[ + [gen_ai_cache_service.DeleteCachedContentRequest], + Union[empty_pb2.Empty, Awaitable[empty_pb2.Empty]], + ]: + raise NotImplementedError() + + @property + def list_cached_contents( + self, + ) -> Callable[ + [gen_ai_cache_service.ListCachedContentsRequest], + Union[ + gen_ai_cache_service.ListCachedContentsResponse, + Awaitable[gen_ai_cache_service.ListCachedContentsResponse], + ], + ]: + raise NotImplementedError() + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], + Union[ + operations_pb2.ListOperationsResponse, + Awaitable[operations_pb2.ListOperationsResponse], + ], + ]: + raise NotImplementedError() + + @property + def get_operation( + self, + ) -> Callable[ + [operations_pb2.GetOperationRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def cancel_operation( + self, + ) -> Callable[ + [operations_pb2.CancelOperationRequest], + None, + ]: + raise NotImplementedError() + + @property + def delete_operation( + self, + ) -> Callable[ + [operations_pb2.DeleteOperationRequest], + None, + ]: + raise NotImplementedError() + + @property + def wait_operation( + self, + ) -> Callable[ + [operations_pb2.WaitOperationRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def set_iam_policy( + self, + ) -> Callable[ + [iam_policy_pb2.SetIamPolicyRequest], + Union[policy_pb2.Policy, Awaitable[policy_pb2.Policy]], + ]: + raise NotImplementedError() + + @property + def get_iam_policy( + self, + ) -> Callable[ + [iam_policy_pb2.GetIamPolicyRequest], + Union[policy_pb2.Policy, Awaitable[policy_pb2.Policy]], + ]: + raise NotImplementedError() + + @property + def test_iam_permissions( + self, + ) -> Callable[ + [iam_policy_pb2.TestIamPermissionsRequest], + Union[ + iam_policy_pb2.TestIamPermissionsResponse, + Awaitable[iam_policy_pb2.TestIamPermissionsResponse], + ], + ]: + raise NotImplementedError() + + @property + def get_location( + self, + ) -> Callable[ + [locations_pb2.GetLocationRequest], + Union[locations_pb2.Location, Awaitable[locations_pb2.Location]], + ]: + raise NotImplementedError() + + @property + def list_locations( + self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], + Union[ + locations_pb2.ListLocationsResponse, + Awaitable[locations_pb2.ListLocationsResponse], + ], + ]: + raise NotImplementedError() + + @property + def kind(self) -> str: + raise NotImplementedError() + + +__all__ = ("GenAiCacheServiceTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/transports/grpc.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/transports/grpc.py new file mode 100644 index 0000000000000000000000000000000000000000..6b25fa58d358cb30e90fd33c7423369a8cb31834 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/transports/grpc.py @@ -0,0 +1,686 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import json +import logging as std_logging +import pickle +import warnings +from typing import Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import grpc_helpers +from google.api_core import gapic_v1 +import google.auth # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.protobuf.json_format import MessageToJson +import google.protobuf.message + +import grpc # type: ignore +import proto # type: ignore + +from google.cloud.aiplatform_v1.types import cached_content +from google.cloud.aiplatform_v1.types import cached_content as gca_cached_content +from google.cloud.aiplatform_v1.types import gen_ai_cache_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +from .base import GenAiCacheServiceTransport, DEFAULT_CLIENT_INFO + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class _LoggingClientInterceptor(grpc.UnaryUnaryClientInterceptor): # pragma: NO COVER + def intercept_unary_unary(self, continuation, client_call_details, request): + logging_enabled = CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ) + if logging_enabled: # pragma: NO COVER + request_metadata = client_call_details.metadata + if isinstance(request, proto.Message): + request_payload = type(request).to_json(request) + elif isinstance(request, google.protobuf.message.Message): + request_payload = MessageToJson(request) + else: + request_payload = f"{type(request).__name__}: {pickle.dumps(request)}" + + request_metadata = { + key: value.decode("utf-8") if isinstance(value, bytes) else value + for key, value in request_metadata + } + grpc_request = { + "payload": request_payload, + "requestMethod": "grpc", + "metadata": dict(request_metadata), + } + _LOGGER.debug( + f"Sending request for {client_call_details.method}", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": str(client_call_details.method), + "request": grpc_request, + "metadata": grpc_request["metadata"], + }, + ) + response = continuation(client_call_details, request) + if logging_enabled: # pragma: NO COVER + response_metadata = response.trailing_metadata() + # Convert gRPC metadata `` to list of tuples + metadata = ( + dict([(k, str(v)) for k, v in response_metadata]) + if response_metadata + else None + ) + result = response.result() + if isinstance(result, proto.Message): + response_payload = type(result).to_json(result) + elif isinstance(result, google.protobuf.message.Message): + response_payload = MessageToJson(result) + else: + response_payload = f"{type(result).__name__}: {pickle.dumps(result)}" + grpc_response = { + "payload": response_payload, + "metadata": metadata, + "status": "OK", + } + _LOGGER.debug( + f"Received response for {client_call_details.method}.", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": client_call_details.method, + "response": grpc_response, + "metadata": grpc_response["metadata"], + }, + ) + return response + + +class GenAiCacheServiceGrpcTransport(GenAiCacheServiceTransport): + """gRPC backend transport for GenAiCacheService. + + Service for managing Vertex AI's CachedContent resource. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + + _stubs: Dict[str, Callable] + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]] = None, + api_mtls_endpoint: Optional[str] = None, + client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if a ``channel`` instance is provided. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if a ``channel`` instance is provided. + This argument will be removed in the next major version of this library. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if a ``channel`` instance is provided. + channel (Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]]): + A ``Channel`` instance through which to make calls, or a Callable + that constructs and returns one. If set to None, ``self.create_channel`` + is used to create the channel. If a Callable is given, it will be called + with the same arguments as used in ``self.create_channel``. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if a ``channel`` instance is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if isinstance(channel, grpc.Channel): + # Ignore credentials if a channel was passed. + credentials = None + self._ignore_credentials = True + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + # initialize with the provided callable or the default channel + channel_init = channel or type(self).create_channel + self._grpc_channel = channel_init( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + self._interceptor = _LoggingClientInterceptor() + self._logged_channel = grpc.intercept_channel( + self._grpc_channel, self._interceptor + ) + + # Wrap messages. This must be done after self._logged_channel exists + self._prep_wrapped_messages(client_info) + + @classmethod + def create_channel( + cls, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs, + ) -> grpc.Channel: + """Create and return a gRPC channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. This argument will be + removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + grpc.Channel: A gRPC channel object. + + Raises: + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + + return grpc_helpers.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs, + ) + + @property + def grpc_channel(self) -> grpc.Channel: + """Return the channel designed to connect to this service.""" + return self._grpc_channel + + @property + def create_cached_content( + self, + ) -> Callable[ + [gen_ai_cache_service.CreateCachedContentRequest], + gca_cached_content.CachedContent, + ]: + r"""Return a callable for the create cached content method over gRPC. + + Creates cached content, this call will initialize the + cached content in the data storage, and users need to + pay for the cache data storage. + + Returns: + Callable[[~.CreateCachedContentRequest], + ~.CachedContent]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "create_cached_content" not in self._stubs: + self._stubs["create_cached_content"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.GenAiCacheService/CreateCachedContent", + request_serializer=gen_ai_cache_service.CreateCachedContentRequest.serialize, + response_deserializer=gca_cached_content.CachedContent.deserialize, + ) + return self._stubs["create_cached_content"] + + @property + def get_cached_content( + self, + ) -> Callable[ + [gen_ai_cache_service.GetCachedContentRequest], cached_content.CachedContent + ]: + r"""Return a callable for the get cached content method over gRPC. + + Gets cached content configurations + + Returns: + Callable[[~.GetCachedContentRequest], + ~.CachedContent]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_cached_content" not in self._stubs: + self._stubs["get_cached_content"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.GenAiCacheService/GetCachedContent", + request_serializer=gen_ai_cache_service.GetCachedContentRequest.serialize, + response_deserializer=cached_content.CachedContent.deserialize, + ) + return self._stubs["get_cached_content"] + + @property + def update_cached_content( + self, + ) -> Callable[ + [gen_ai_cache_service.UpdateCachedContentRequest], + gca_cached_content.CachedContent, + ]: + r"""Return a callable for the update cached content method over gRPC. + + Updates cached content configurations + + Returns: + Callable[[~.UpdateCachedContentRequest], + ~.CachedContent]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "update_cached_content" not in self._stubs: + self._stubs["update_cached_content"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.GenAiCacheService/UpdateCachedContent", + request_serializer=gen_ai_cache_service.UpdateCachedContentRequest.serialize, + response_deserializer=gca_cached_content.CachedContent.deserialize, + ) + return self._stubs["update_cached_content"] + + @property + def delete_cached_content( + self, + ) -> Callable[[gen_ai_cache_service.DeleteCachedContentRequest], empty_pb2.Empty]: + r"""Return a callable for the delete cached content method over gRPC. + + Deletes cached content + + Returns: + Callable[[~.DeleteCachedContentRequest], + ~.Empty]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_cached_content" not in self._stubs: + self._stubs["delete_cached_content"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.GenAiCacheService/DeleteCachedContent", + request_serializer=gen_ai_cache_service.DeleteCachedContentRequest.serialize, + response_deserializer=empty_pb2.Empty.FromString, + ) + return self._stubs["delete_cached_content"] + + @property + def list_cached_contents( + self, + ) -> Callable[ + [gen_ai_cache_service.ListCachedContentsRequest], + gen_ai_cache_service.ListCachedContentsResponse, + ]: + r"""Return a callable for the list cached contents method over gRPC. + + Lists cached contents in a project + + Returns: + Callable[[~.ListCachedContentsRequest], + ~.ListCachedContentsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_cached_contents" not in self._stubs: + self._stubs["list_cached_contents"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.GenAiCacheService/ListCachedContents", + request_serializer=gen_ai_cache_service.ListCachedContentsRequest.serialize, + response_deserializer=gen_ai_cache_service.ListCachedContentsResponse.deserialize, + ) + return self._stubs["list_cached_contents"] + + def close(self): + self._logged_channel.close() + + @property + def delete_operation( + self, + ) -> Callable[[operations_pb2.DeleteOperationRequest], None]: + r"""Return a callable for the delete_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_operation" not in self._stubs: + self._stubs["delete_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/DeleteOperation", + request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["delete_operation"] + + @property + def cancel_operation( + self, + ) -> Callable[[operations_pb2.CancelOperationRequest], None]: + r"""Return a callable for the cancel_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "cancel_operation" not in self._stubs: + self._stubs["cancel_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/CancelOperation", + request_serializer=operations_pb2.CancelOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["cancel_operation"] + + @property + def wait_operation( + self, + ) -> Callable[[operations_pb2.WaitOperationRequest], None]: + r"""Return a callable for the wait_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "wait_operation" not in self._stubs: + self._stubs["wait_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/WaitOperation", + request_serializer=operations_pb2.WaitOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["wait_operation"] + + @property + def get_operation( + self, + ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]: + r"""Return a callable for the get_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_operation" not in self._stubs: + self._stubs["get_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/GetOperation", + request_serializer=operations_pb2.GetOperationRequest.SerializeToString, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["get_operation"] + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse + ]: + r"""Return a callable for the list_operations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_operations" not in self._stubs: + self._stubs["list_operations"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/ListOperations", + request_serializer=operations_pb2.ListOperationsRequest.SerializeToString, + response_deserializer=operations_pb2.ListOperationsResponse.FromString, + ) + return self._stubs["list_operations"] + + @property + def list_locations( + self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse + ]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_locations" not in self._stubs: + self._stubs["list_locations"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/ListLocations", + request_serializer=locations_pb2.ListLocationsRequest.SerializeToString, + response_deserializer=locations_pb2.ListLocationsResponse.FromString, + ) + return self._stubs["list_locations"] + + @property + def get_location( + self, + ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_location" not in self._stubs: + self._stubs["get_location"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/GetLocation", + request_serializer=locations_pb2.GetLocationRequest.SerializeToString, + response_deserializer=locations_pb2.Location.FromString, + ) + return self._stubs["get_location"] + + @property + def set_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.SetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the set iam policy method over gRPC. + Sets the IAM access control policy on the specified + function. Replaces any existing policy. + Returns: + Callable[[~.SetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "set_iam_policy" not in self._stubs: + self._stubs["set_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/SetIamPolicy", + request_serializer=iam_policy_pb2.SetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["set_iam_policy"] + + @property + def get_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.GetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the get iam policy method over gRPC. + Gets the IAM access control policy for a function. + Returns an empty policy if the function exists and does + not have a policy set. + Returns: + Callable[[~.GetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_iam_policy" not in self._stubs: + self._stubs["get_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/GetIamPolicy", + request_serializer=iam_policy_pb2.GetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["get_iam_policy"] + + @property + def test_iam_permissions( + self, + ) -> Callable[ + [iam_policy_pb2.TestIamPermissionsRequest], + iam_policy_pb2.TestIamPermissionsResponse, + ]: + r"""Return a callable for the test iam permissions method over gRPC. + Tests the specified permissions against the IAM access control + policy for a function. If the function does not exist, this will + return an empty set of permissions, not a NOT_FOUND error. + Returns: + Callable[[~.TestIamPermissionsRequest], + ~.TestIamPermissionsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "test_iam_permissions" not in self._stubs: + self._stubs["test_iam_permissions"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/TestIamPermissions", + request_serializer=iam_policy_pb2.TestIamPermissionsRequest.SerializeToString, + response_deserializer=iam_policy_pb2.TestIamPermissionsResponse.FromString, + ) + return self._stubs["test_iam_permissions"] + + @property + def kind(self) -> str: + return "grpc" + + +__all__ = ("GenAiCacheServiceGrpcTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/transports/grpc_asyncio.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/transports/grpc_asyncio.py new file mode 100644 index 0000000000000000000000000000000000000000..bc940698aec8b984a838fd511f1ca2cf6c24d429 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/transports/grpc_asyncio.py @@ -0,0 +1,782 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import inspect +import json +import pickle +import logging as std_logging +import warnings +from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import gapic_v1 +from google.api_core import grpc_helpers_async +from google.api_core import exceptions as core_exceptions +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.protobuf.json_format import MessageToJson +import google.protobuf.message + +import grpc # type: ignore +import proto # type: ignore +from grpc.experimental import aio # type: ignore + +from google.cloud.aiplatform_v1.types import cached_content +from google.cloud.aiplatform_v1.types import cached_content as gca_cached_content +from google.cloud.aiplatform_v1.types import gen_ai_cache_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +from .base import GenAiCacheServiceTransport, DEFAULT_CLIENT_INFO +from .grpc import GenAiCacheServiceGrpcTransport + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class _LoggingClientAIOInterceptor( + grpc.aio.UnaryUnaryClientInterceptor +): # pragma: NO COVER + async def intercept_unary_unary(self, continuation, client_call_details, request): + logging_enabled = CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ) + if logging_enabled: # pragma: NO COVER + request_metadata = client_call_details.metadata + if isinstance(request, proto.Message): + request_payload = type(request).to_json(request) + elif isinstance(request, google.protobuf.message.Message): + request_payload = MessageToJson(request) + else: + request_payload = f"{type(request).__name__}: {pickle.dumps(request)}" + + request_metadata = { + key: value.decode("utf-8") if isinstance(value, bytes) else value + for key, value in request_metadata + } + grpc_request = { + "payload": request_payload, + "requestMethod": "grpc", + "metadata": dict(request_metadata), + } + _LOGGER.debug( + f"Sending request for {client_call_details.method}", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": str(client_call_details.method), + "request": grpc_request, + "metadata": grpc_request["metadata"], + }, + ) + response = await continuation(client_call_details, request) + if logging_enabled: # pragma: NO COVER + response_metadata = await response.trailing_metadata() + # Convert gRPC metadata `` to list of tuples + metadata = ( + dict([(k, str(v)) for k, v in response_metadata]) + if response_metadata + else None + ) + result = await response + if isinstance(result, proto.Message): + response_payload = type(result).to_json(result) + elif isinstance(result, google.protobuf.message.Message): + response_payload = MessageToJson(result) + else: + response_payload = f"{type(result).__name__}: {pickle.dumps(result)}" + grpc_response = { + "payload": response_payload, + "metadata": metadata, + "status": "OK", + } + _LOGGER.debug( + f"Received response to rpc {client_call_details.method}.", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": str(client_call_details.method), + "response": grpc_response, + "metadata": grpc_response["metadata"], + }, + ) + return response + + +class GenAiCacheServiceGrpcAsyncIOTransport(GenAiCacheServiceTransport): + """gRPC AsyncIO backend transport for GenAiCacheService. + + Service for managing Vertex AI's CachedContent resource. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + + _grpc_channel: aio.Channel + _stubs: Dict[str, Callable] = {} + + @classmethod + def create_channel( + cls, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs, + ) -> aio.Channel: + """Create and return a gRPC AsyncIO channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. This argument will be + removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + aio.Channel: A gRPC AsyncIO channel object. + """ + + return grpc_helpers_async.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs, + ) + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: Optional[Union[aio.Channel, Callable[..., aio.Channel]]] = None, + api_mtls_endpoint: Optional[str] = None, + client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if a ``channel`` instance is provided. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if a ``channel`` instance is provided. + This argument will be removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + channel (Optional[Union[aio.Channel, Callable[..., aio.Channel]]]): + A ``Channel`` instance through which to make calls, or a Callable + that constructs and returns one. If set to None, ``self.create_channel`` + is used to create the channel. If a Callable is given, it will be called + with the same arguments as used in ``self.create_channel``. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if a ``channel`` instance is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if isinstance(channel, aio.Channel): + # Ignore credentials if a channel was passed. + credentials = None + self._ignore_credentials = True + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + # initialize with the provided callable or the default channel + channel_init = channel or type(self).create_channel + self._grpc_channel = channel_init( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + self._interceptor = _LoggingClientAIOInterceptor() + self._grpc_channel._unary_unary_interceptors.append(self._interceptor) + self._logged_channel = self._grpc_channel + self._wrap_with_kind = ( + "kind" in inspect.signature(gapic_v1.method_async.wrap_method).parameters + ) + # Wrap messages. This must be done after self._logged_channel exists + self._prep_wrapped_messages(client_info) + + @property + def grpc_channel(self) -> aio.Channel: + """Create the channel designed to connect to this service. + + This property caches on the instance; repeated calls return + the same channel. + """ + # Return the channel from cache. + return self._grpc_channel + + @property + def create_cached_content( + self, + ) -> Callable[ + [gen_ai_cache_service.CreateCachedContentRequest], + Awaitable[gca_cached_content.CachedContent], + ]: + r"""Return a callable for the create cached content method over gRPC. + + Creates cached content, this call will initialize the + cached content in the data storage, and users need to + pay for the cache data storage. + + Returns: + Callable[[~.CreateCachedContentRequest], + Awaitable[~.CachedContent]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "create_cached_content" not in self._stubs: + self._stubs["create_cached_content"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.GenAiCacheService/CreateCachedContent", + request_serializer=gen_ai_cache_service.CreateCachedContentRequest.serialize, + response_deserializer=gca_cached_content.CachedContent.deserialize, + ) + return self._stubs["create_cached_content"] + + @property + def get_cached_content( + self, + ) -> Callable[ + [gen_ai_cache_service.GetCachedContentRequest], + Awaitable[cached_content.CachedContent], + ]: + r"""Return a callable for the get cached content method over gRPC. + + Gets cached content configurations + + Returns: + Callable[[~.GetCachedContentRequest], + Awaitable[~.CachedContent]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_cached_content" not in self._stubs: + self._stubs["get_cached_content"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.GenAiCacheService/GetCachedContent", + request_serializer=gen_ai_cache_service.GetCachedContentRequest.serialize, + response_deserializer=cached_content.CachedContent.deserialize, + ) + return self._stubs["get_cached_content"] + + @property + def update_cached_content( + self, + ) -> Callable[ + [gen_ai_cache_service.UpdateCachedContentRequest], + Awaitable[gca_cached_content.CachedContent], + ]: + r"""Return a callable for the update cached content method over gRPC. + + Updates cached content configurations + + Returns: + Callable[[~.UpdateCachedContentRequest], + Awaitable[~.CachedContent]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "update_cached_content" not in self._stubs: + self._stubs["update_cached_content"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.GenAiCacheService/UpdateCachedContent", + request_serializer=gen_ai_cache_service.UpdateCachedContentRequest.serialize, + response_deserializer=gca_cached_content.CachedContent.deserialize, + ) + return self._stubs["update_cached_content"] + + @property + def delete_cached_content( + self, + ) -> Callable[ + [gen_ai_cache_service.DeleteCachedContentRequest], Awaitable[empty_pb2.Empty] + ]: + r"""Return a callable for the delete cached content method over gRPC. + + Deletes cached content + + Returns: + Callable[[~.DeleteCachedContentRequest], + Awaitable[~.Empty]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_cached_content" not in self._stubs: + self._stubs["delete_cached_content"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.GenAiCacheService/DeleteCachedContent", + request_serializer=gen_ai_cache_service.DeleteCachedContentRequest.serialize, + response_deserializer=empty_pb2.Empty.FromString, + ) + return self._stubs["delete_cached_content"] + + @property + def list_cached_contents( + self, + ) -> Callable[ + [gen_ai_cache_service.ListCachedContentsRequest], + Awaitable[gen_ai_cache_service.ListCachedContentsResponse], + ]: + r"""Return a callable for the list cached contents method over gRPC. + + Lists cached contents in a project + + Returns: + Callable[[~.ListCachedContentsRequest], + Awaitable[~.ListCachedContentsResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_cached_contents" not in self._stubs: + self._stubs["list_cached_contents"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.GenAiCacheService/ListCachedContents", + request_serializer=gen_ai_cache_service.ListCachedContentsRequest.serialize, + response_deserializer=gen_ai_cache_service.ListCachedContentsResponse.deserialize, + ) + return self._stubs["list_cached_contents"] + + def _prep_wrapped_messages(self, client_info): + """Precompute the wrapped methods, overriding the base class method to use async wrappers.""" + self._wrapped_methods = { + self.create_cached_content: self._wrap_method( + self.create_cached_content, + default_timeout=None, + client_info=client_info, + ), + self.get_cached_content: self._wrap_method( + self.get_cached_content, + default_timeout=None, + client_info=client_info, + ), + self.update_cached_content: self._wrap_method( + self.update_cached_content, + default_timeout=None, + client_info=client_info, + ), + self.delete_cached_content: self._wrap_method( + self.delete_cached_content, + default_timeout=None, + client_info=client_info, + ), + self.list_cached_contents: self._wrap_method( + self.list_cached_contents, + default_timeout=None, + client_info=client_info, + ), + self.get_location: self._wrap_method( + self.get_location, + default_timeout=None, + client_info=client_info, + ), + self.list_locations: self._wrap_method( + self.list_locations, + default_timeout=None, + client_info=client_info, + ), + self.get_iam_policy: self._wrap_method( + self.get_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.set_iam_policy: self._wrap_method( + self.set_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.test_iam_permissions: self._wrap_method( + self.test_iam_permissions, + default_timeout=None, + client_info=client_info, + ), + self.cancel_operation: self._wrap_method( + self.cancel_operation, + default_timeout=None, + client_info=client_info, + ), + self.delete_operation: self._wrap_method( + self.delete_operation, + default_timeout=None, + client_info=client_info, + ), + self.get_operation: self._wrap_method( + self.get_operation, + default_timeout=None, + client_info=client_info, + ), + self.list_operations: self._wrap_method( + self.list_operations, + default_timeout=None, + client_info=client_info, + ), + self.wait_operation: self._wrap_method( + self.wait_operation, + default_timeout=None, + client_info=client_info, + ), + } + + def _wrap_method(self, func, *args, **kwargs): + if self._wrap_with_kind: # pragma: NO COVER + kwargs["kind"] = self.kind + return gapic_v1.method_async.wrap_method(func, *args, **kwargs) + + def close(self): + return self._logged_channel.close() + + @property + def kind(self) -> str: + return "grpc_asyncio" + + @property + def delete_operation( + self, + ) -> Callable[[operations_pb2.DeleteOperationRequest], None]: + r"""Return a callable for the delete_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_operation" not in self._stubs: + self._stubs["delete_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/DeleteOperation", + request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["delete_operation"] + + @property + def cancel_operation( + self, + ) -> Callable[[operations_pb2.CancelOperationRequest], None]: + r"""Return a callable for the cancel_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "cancel_operation" not in self._stubs: + self._stubs["cancel_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/CancelOperation", + request_serializer=operations_pb2.CancelOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["cancel_operation"] + + @property + def wait_operation( + self, + ) -> Callable[[operations_pb2.WaitOperationRequest], None]: + r"""Return a callable for the wait_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "wait_operation" not in self._stubs: + self._stubs["wait_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/WaitOperation", + request_serializer=operations_pb2.WaitOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["wait_operation"] + + @property + def get_operation( + self, + ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]: + r"""Return a callable for the get_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_operation" not in self._stubs: + self._stubs["get_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/GetOperation", + request_serializer=operations_pb2.GetOperationRequest.SerializeToString, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["get_operation"] + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse + ]: + r"""Return a callable for the list_operations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_operations" not in self._stubs: + self._stubs["list_operations"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/ListOperations", + request_serializer=operations_pb2.ListOperationsRequest.SerializeToString, + response_deserializer=operations_pb2.ListOperationsResponse.FromString, + ) + return self._stubs["list_operations"] + + @property + def list_locations( + self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse + ]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_locations" not in self._stubs: + self._stubs["list_locations"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/ListLocations", + request_serializer=locations_pb2.ListLocationsRequest.SerializeToString, + response_deserializer=locations_pb2.ListLocationsResponse.FromString, + ) + return self._stubs["list_locations"] + + @property + def get_location( + self, + ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_location" not in self._stubs: + self._stubs["get_location"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/GetLocation", + request_serializer=locations_pb2.GetLocationRequest.SerializeToString, + response_deserializer=locations_pb2.Location.FromString, + ) + return self._stubs["get_location"] + + @property + def set_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.SetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the set iam policy method over gRPC. + Sets the IAM access control policy on the specified + function. Replaces any existing policy. + Returns: + Callable[[~.SetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "set_iam_policy" not in self._stubs: + self._stubs["set_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/SetIamPolicy", + request_serializer=iam_policy_pb2.SetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["set_iam_policy"] + + @property + def get_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.GetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the get iam policy method over gRPC. + Gets the IAM access control policy for a function. + Returns an empty policy if the function exists and does + not have a policy set. + Returns: + Callable[[~.GetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_iam_policy" not in self._stubs: + self._stubs["get_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/GetIamPolicy", + request_serializer=iam_policy_pb2.GetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["get_iam_policy"] + + @property + def test_iam_permissions( + self, + ) -> Callable[ + [iam_policy_pb2.TestIamPermissionsRequest], + iam_policy_pb2.TestIamPermissionsResponse, + ]: + r"""Return a callable for the test iam permissions method over gRPC. + Tests the specified permissions against the IAM access control + policy for a function. If the function does not exist, this will + return an empty set of permissions, not a NOT_FOUND error. + Returns: + Callable[[~.TestIamPermissionsRequest], + ~.TestIamPermissionsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "test_iam_permissions" not in self._stubs: + self._stubs["test_iam_permissions"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/TestIamPermissions", + request_serializer=iam_policy_pb2.TestIamPermissionsRequest.SerializeToString, + response_deserializer=iam_policy_pb2.TestIamPermissionsResponse.FromString, + ) + return self._stubs["test_iam_permissions"] + + +__all__ = ("GenAiCacheServiceGrpcAsyncIOTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/transports/rest.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/transports/rest.py new file mode 100644 index 0000000000000000000000000000000000000000..99a1195f05f0f76c81c06ac8ddfb78a3eae9cb98 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/transports/rest.py @@ -0,0 +1,2854 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging +import json # type: ignore + +from google.auth.transport.requests import AuthorizedSession # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.api_core import exceptions as core_exceptions +from google.api_core import retry as retries +from google.api_core import rest_helpers +from google.api_core import rest_streaming +from google.api_core import gapic_v1 +import google.protobuf + +from google.protobuf import json_format +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore + +from requests import __version__ as requests_version +import dataclasses +from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union +import warnings + + +from google.cloud.aiplatform_v1.types import cached_content +from google.cloud.aiplatform_v1.types import cached_content as gca_cached_content +from google.cloud.aiplatform_v1.types import gen_ai_cache_service +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore + + +from .rest_base import _BaseGenAiCacheServiceRestTransport +from .base import DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = logging.getLogger(__name__) + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version, + grpc_version=None, + rest_version=f"requests@{requests_version}", +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +class GenAiCacheServiceRestInterceptor: + """Interceptor for GenAiCacheService. + + Interceptors are used to manipulate requests, request metadata, and responses + in arbitrary ways. + Example use cases include: + * Logging + * Verifying requests according to service or custom semantics + * Stripping extraneous information from responses + + These use cases and more can be enabled by injecting an + instance of a custom subclass when constructing the GenAiCacheServiceRestTransport. + + .. code-block:: python + class MyCustomGenAiCacheServiceInterceptor(GenAiCacheServiceRestInterceptor): + def pre_create_cached_content(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_create_cached_content(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_delete_cached_content(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def pre_get_cached_content(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_get_cached_content(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_list_cached_contents(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_list_cached_contents(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_update_cached_content(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_update_cached_content(self, response): + logging.log(f"Received response: {response}") + return response + + transport = GenAiCacheServiceRestTransport(interceptor=MyCustomGenAiCacheServiceInterceptor()) + client = GenAiCacheServiceClient(transport=transport) + + + """ + + def pre_create_cached_content( + self, + request: gen_ai_cache_service.CreateCachedContentRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + gen_ai_cache_service.CreateCachedContentRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for create_cached_content + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + def post_create_cached_content( + self, response: gca_cached_content.CachedContent + ) -> gca_cached_content.CachedContent: + """Post-rpc interceptor for create_cached_content + + DEPRECATED. Please use the `post_create_cached_content_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. This `post_create_cached_content` interceptor runs + before the `post_create_cached_content_with_metadata` interceptor. + """ + return response + + def post_create_cached_content_with_metadata( + self, + response: gca_cached_content.CachedContent, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + gca_cached_content.CachedContent, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Post-rpc interceptor for create_cached_content + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the GenAiCacheService server but before it is returned to user code. + + We recommend only using this `post_create_cached_content_with_metadata` + interceptor in new development instead of the `post_create_cached_content` interceptor. + When both interceptors are used, this `post_create_cached_content_with_metadata` interceptor runs after the + `post_create_cached_content` interceptor. The (possibly modified) response returned by + `post_create_cached_content` will be passed to + `post_create_cached_content_with_metadata`. + """ + return response, metadata + + def pre_delete_cached_content( + self, + request: gen_ai_cache_service.DeleteCachedContentRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + gen_ai_cache_service.DeleteCachedContentRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for delete_cached_content + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + def pre_get_cached_content( + self, + request: gen_ai_cache_service.GetCachedContentRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + gen_ai_cache_service.GetCachedContentRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for get_cached_content + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + def post_get_cached_content( + self, response: cached_content.CachedContent + ) -> cached_content.CachedContent: + """Post-rpc interceptor for get_cached_content + + DEPRECATED. Please use the `post_get_cached_content_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. This `post_get_cached_content` interceptor runs + before the `post_get_cached_content_with_metadata` interceptor. + """ + return response + + def post_get_cached_content_with_metadata( + self, + response: cached_content.CachedContent, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[cached_content.CachedContent, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for get_cached_content + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the GenAiCacheService server but before it is returned to user code. + + We recommend only using this `post_get_cached_content_with_metadata` + interceptor in new development instead of the `post_get_cached_content` interceptor. + When both interceptors are used, this `post_get_cached_content_with_metadata` interceptor runs after the + `post_get_cached_content` interceptor. The (possibly modified) response returned by + `post_get_cached_content` will be passed to + `post_get_cached_content_with_metadata`. + """ + return response, metadata + + def pre_list_cached_contents( + self, + request: gen_ai_cache_service.ListCachedContentsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + gen_ai_cache_service.ListCachedContentsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for list_cached_contents + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + def post_list_cached_contents( + self, response: gen_ai_cache_service.ListCachedContentsResponse + ) -> gen_ai_cache_service.ListCachedContentsResponse: + """Post-rpc interceptor for list_cached_contents + + DEPRECATED. Please use the `post_list_cached_contents_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. This `post_list_cached_contents` interceptor runs + before the `post_list_cached_contents_with_metadata` interceptor. + """ + return response + + def post_list_cached_contents_with_metadata( + self, + response: gen_ai_cache_service.ListCachedContentsResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + gen_ai_cache_service.ListCachedContentsResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for list_cached_contents + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the GenAiCacheService server but before it is returned to user code. + + We recommend only using this `post_list_cached_contents_with_metadata` + interceptor in new development instead of the `post_list_cached_contents` interceptor. + When both interceptors are used, this `post_list_cached_contents_with_metadata` interceptor runs after the + `post_list_cached_contents` interceptor. The (possibly modified) response returned by + `post_list_cached_contents` will be passed to + `post_list_cached_contents_with_metadata`. + """ + return response, metadata + + def pre_update_cached_content( + self, + request: gen_ai_cache_service.UpdateCachedContentRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + gen_ai_cache_service.UpdateCachedContentRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for update_cached_content + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + def post_update_cached_content( + self, response: gca_cached_content.CachedContent + ) -> gca_cached_content.CachedContent: + """Post-rpc interceptor for update_cached_content + + DEPRECATED. Please use the `post_update_cached_content_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. This `post_update_cached_content` interceptor runs + before the `post_update_cached_content_with_metadata` interceptor. + """ + return response + + def post_update_cached_content_with_metadata( + self, + response: gca_cached_content.CachedContent, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + gca_cached_content.CachedContent, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Post-rpc interceptor for update_cached_content + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the GenAiCacheService server but before it is returned to user code. + + We recommend only using this `post_update_cached_content_with_metadata` + interceptor in new development instead of the `post_update_cached_content` interceptor. + When both interceptors are used, this `post_update_cached_content_with_metadata` interceptor runs after the + `post_update_cached_content` interceptor. The (possibly modified) response returned by + `post_update_cached_content` will be passed to + `post_update_cached_content_with_metadata`. + """ + return response, metadata + + def pre_get_location( + self, + request: locations_pb2.GetLocationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.GetLocationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_location + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + def post_get_location( + self, response: locations_pb2.Location + ) -> locations_pb2.Location: + """Post-rpc interceptor for get_location + + Override in a subclass to manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. + """ + return response + + def pre_list_locations( + self, + request: locations_pb2.ListLocationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.ListLocationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_locations + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + def post_list_locations( + self, response: locations_pb2.ListLocationsResponse + ) -> locations_pb2.ListLocationsResponse: + """Post-rpc interceptor for list_locations + + Override in a subclass to manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. + """ + return response + + def pre_get_iam_policy( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.GetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + def post_get_iam_policy(self, response: policy_pb2.Policy) -> policy_pb2.Policy: + """Post-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. + """ + return response + + def pre_set_iam_policy( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.SetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + def post_set_iam_policy(self, response: policy_pb2.Policy) -> policy_pb2.Policy: + """Post-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. + """ + return response + + def pre_test_iam_permissions( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.TestIamPermissionsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + def post_test_iam_permissions( + self, response: iam_policy_pb2.TestIamPermissionsResponse + ) -> iam_policy_pb2.TestIamPermissionsResponse: + """Post-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. + """ + return response + + def pre_cancel_operation( + self, + request: operations_pb2.CancelOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.CancelOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + def post_cancel_operation(self, response: None) -> None: + """Post-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. + """ + return response + + def pre_delete_operation( + self, + request: operations_pb2.DeleteOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.DeleteOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for delete_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + def post_delete_operation(self, response: None) -> None: + """Post-rpc interceptor for delete_operation + + Override in a subclass to manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. + """ + return response + + def pre_get_operation( + self, + request: operations_pb2.GetOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.GetOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + def post_get_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for get_operation + + Override in a subclass to manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. + """ + return response + + def pre_list_operations( + self, + request: operations_pb2.ListOperationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.ListOperationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_operations + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + def post_list_operations( + self, response: operations_pb2.ListOperationsResponse + ) -> operations_pb2.ListOperationsResponse: + """Post-rpc interceptor for list_operations + + Override in a subclass to manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. + """ + return response + + def pre_wait_operation( + self, + request: operations_pb2.WaitOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.WaitOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for wait_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + def post_wait_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for wait_operation + + Override in a subclass to manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. + """ + return response + + +@dataclasses.dataclass +class GenAiCacheServiceRestStub: + _session: AuthorizedSession + _host: str + _interceptor: GenAiCacheServiceRestInterceptor + + +class GenAiCacheServiceRestTransport(_BaseGenAiCacheServiceRestTransport): + """REST backend synchronous transport for GenAiCacheService. + + Service for managing Vertex AI's CachedContent resource. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + """ + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + url_scheme: str = "https", + interceptor: Optional[GenAiCacheServiceRestInterceptor] = None, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. This argument will be + removed in the next major version of this library. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if ``channel`` is provided. + client_cert_source_for_mtls (Callable[[], Tuple[bytes, bytes]]): Client + certificate to configure mutual TLS HTTP channel. It is ignored + if ``channel`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + url_scheme: the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + # TODO(yon-mg): resolve other ctor params i.e. scopes, quota, etc. + # TODO: When custom host (api_endpoint) is set, `scopes` must *also* be set on the + # credentials object + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + url_scheme=url_scheme, + api_audience=api_audience, + ) + self._session = AuthorizedSession( + self._credentials, default_host=self.DEFAULT_HOST + ) + if client_cert_source_for_mtls: + self._session.configure_mtls_channel(client_cert_source_for_mtls) + self._interceptor = interceptor or GenAiCacheServiceRestInterceptor() + self._prep_wrapped_messages(client_info) + + class _CreateCachedContent( + _BaseGenAiCacheServiceRestTransport._BaseCreateCachedContent, + GenAiCacheServiceRestStub, + ): + def __hash__(self): + return hash("GenAiCacheServiceRestTransport.CreateCachedContent") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: gen_ai_cache_service.CreateCachedContentRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_cached_content.CachedContent: + r"""Call the create cached content method over HTTP. + + Args: + request (~.gen_ai_cache_service.CreateCachedContentRequest): + The request object. Request message for + [GenAiCacheService.CreateCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.CreateCachedContent]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.gca_cached_content.CachedContent: + A resource used in LLM queries for + users to explicitly specify what to + cache and how to cache. + + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseCreateCachedContent._get_http_options() + ) + + request, metadata = self._interceptor.pre_create_cached_content( + request, metadata + ) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseCreateCachedContent._get_transcoded_request( + http_options, request + ) + + body = _BaseGenAiCacheServiceRestTransport._BaseCreateCachedContent._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseCreateCachedContent._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.CreateCachedContent", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "CreateCachedContent", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + GenAiCacheServiceRestTransport._CreateCachedContent._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = gca_cached_content.CachedContent() + pb_resp = gca_cached_content.CachedContent.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_create_cached_content(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_create_cached_content_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = gca_cached_content.CachedContent.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.GenAiCacheServiceClient.create_cached_content", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "CreateCachedContent", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _DeleteCachedContent( + _BaseGenAiCacheServiceRestTransport._BaseDeleteCachedContent, + GenAiCacheServiceRestStub, + ): + def __hash__(self): + return hash("GenAiCacheServiceRestTransport.DeleteCachedContent") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: gen_ai_cache_service.DeleteCachedContentRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ): + r"""Call the delete cached content method over HTTP. + + Args: + request (~.gen_ai_cache_service.DeleteCachedContentRequest): + The request object. Request message for + [GenAiCacheService.DeleteCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.DeleteCachedContent]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseDeleteCachedContent._get_http_options() + ) + + request, metadata = self._interceptor.pre_delete_cached_content( + request, metadata + ) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseDeleteCachedContent._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseDeleteCachedContent._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.DeleteCachedContent", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "DeleteCachedContent", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + GenAiCacheServiceRestTransport._DeleteCachedContent._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + class _GetCachedContent( + _BaseGenAiCacheServiceRestTransport._BaseGetCachedContent, + GenAiCacheServiceRestStub, + ): + def __hash__(self): + return hash("GenAiCacheServiceRestTransport.GetCachedContent") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: gen_ai_cache_service.GetCachedContentRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> cached_content.CachedContent: + r"""Call the get cached content method over HTTP. + + Args: + request (~.gen_ai_cache_service.GetCachedContentRequest): + The request object. Request message for + [GenAiCacheService.GetCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.GetCachedContent]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.cached_content.CachedContent: + A resource used in LLM queries for + users to explicitly specify what to + cache and how to cache. + + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseGetCachedContent._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_cached_content( + request, metadata + ) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseGetCachedContent._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseGetCachedContent._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.GetCachedContent", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "GetCachedContent", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = GenAiCacheServiceRestTransport._GetCachedContent._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = cached_content.CachedContent() + pb_resp = cached_content.CachedContent.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_get_cached_content(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_get_cached_content_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = cached_content.CachedContent.to_json(response) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.GenAiCacheServiceClient.get_cached_content", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "GetCachedContent", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _ListCachedContents( + _BaseGenAiCacheServiceRestTransport._BaseListCachedContents, + GenAiCacheServiceRestStub, + ): + def __hash__(self): + return hash("GenAiCacheServiceRestTransport.ListCachedContents") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: gen_ai_cache_service.ListCachedContentsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gen_ai_cache_service.ListCachedContentsResponse: + r"""Call the list cached contents method over HTTP. + + Args: + request (~.gen_ai_cache_service.ListCachedContentsRequest): + The request object. Request to list CachedContents. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.gen_ai_cache_service.ListCachedContentsResponse: + Response with a list of + CachedContents. + + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseListCachedContents._get_http_options() + ) + + request, metadata = self._interceptor.pre_list_cached_contents( + request, metadata + ) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseListCachedContents._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseListCachedContents._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.ListCachedContents", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "ListCachedContents", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = GenAiCacheServiceRestTransport._ListCachedContents._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = gen_ai_cache_service.ListCachedContentsResponse() + pb_resp = gen_ai_cache_service.ListCachedContentsResponse.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_list_cached_contents(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_list_cached_contents_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = ( + gen_ai_cache_service.ListCachedContentsResponse.to_json( + response + ) + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.GenAiCacheServiceClient.list_cached_contents", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "ListCachedContents", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _UpdateCachedContent( + _BaseGenAiCacheServiceRestTransport._BaseUpdateCachedContent, + GenAiCacheServiceRestStub, + ): + def __hash__(self): + return hash("GenAiCacheServiceRestTransport.UpdateCachedContent") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: gen_ai_cache_service.UpdateCachedContentRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_cached_content.CachedContent: + r"""Call the update cached content method over HTTP. + + Args: + request (~.gen_ai_cache_service.UpdateCachedContentRequest): + The request object. Request message for + [GenAiCacheService.UpdateCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.UpdateCachedContent]. + Only expire_time or ttl can be updated. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.gca_cached_content.CachedContent: + A resource used in LLM queries for + users to explicitly specify what to + cache and how to cache. + + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseUpdateCachedContent._get_http_options() + ) + + request, metadata = self._interceptor.pre_update_cached_content( + request, metadata + ) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseUpdateCachedContent._get_transcoded_request( + http_options, request + ) + + body = _BaseGenAiCacheServiceRestTransport._BaseUpdateCachedContent._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseUpdateCachedContent._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.UpdateCachedContent", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "UpdateCachedContent", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + GenAiCacheServiceRestTransport._UpdateCachedContent._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = gca_cached_content.CachedContent() + pb_resp = gca_cached_content.CachedContent.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_update_cached_content(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_update_cached_content_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = gca_cached_content.CachedContent.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.GenAiCacheServiceClient.update_cached_content", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "UpdateCachedContent", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + @property + def create_cached_content( + self, + ) -> Callable[ + [gen_ai_cache_service.CreateCachedContentRequest], + gca_cached_content.CachedContent, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._CreateCachedContent(self._session, self._host, self._interceptor) # type: ignore + + @property + def delete_cached_content( + self, + ) -> Callable[[gen_ai_cache_service.DeleteCachedContentRequest], empty_pb2.Empty]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._DeleteCachedContent(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_cached_content( + self, + ) -> Callable[ + [gen_ai_cache_service.GetCachedContentRequest], cached_content.CachedContent + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._GetCachedContent(self._session, self._host, self._interceptor) # type: ignore + + @property + def list_cached_contents( + self, + ) -> Callable[ + [gen_ai_cache_service.ListCachedContentsRequest], + gen_ai_cache_service.ListCachedContentsResponse, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._ListCachedContents(self._session, self._host, self._interceptor) # type: ignore + + @property + def update_cached_content( + self, + ) -> Callable[ + [gen_ai_cache_service.UpdateCachedContentRequest], + gca_cached_content.CachedContent, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._UpdateCachedContent(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_location(self): + return self._GetLocation(self._session, self._host, self._interceptor) # type: ignore + + class _GetLocation( + _BaseGenAiCacheServiceRestTransport._BaseGetLocation, GenAiCacheServiceRestStub + ): + def __hash__(self): + return hash("GenAiCacheServiceRestTransport.GetLocation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: locations_pb2.GetLocationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Call the get location method over HTTP. + + Args: + request (locations_pb2.GetLocationRequest): + The request object for GetLocation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.Location: Response from GetLocation method. + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseGetLocation._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_location(request, metadata) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseGetLocation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseGetLocation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "GetLocation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = GenAiCacheServiceRestTransport._GetLocation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = locations_pb2.Location() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_get_location(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.GenAiCacheServiceAsyncClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "GetLocation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_locations(self): + return self._ListLocations(self._session, self._host, self._interceptor) # type: ignore + + class _ListLocations( + _BaseGenAiCacheServiceRestTransport._BaseListLocations, + GenAiCacheServiceRestStub, + ): + def __hash__(self): + return hash("GenAiCacheServiceRestTransport.ListLocations") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: locations_pb2.ListLocationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Call the list locations method over HTTP. + + Args: + request (locations_pb2.ListLocationsRequest): + The request object for ListLocations method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.ListLocationsResponse: Response from ListLocations method. + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseListLocations._get_http_options() + ) + + request, metadata = self._interceptor.pre_list_locations(request, metadata) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseListLocations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseListLocations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "ListLocations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = GenAiCacheServiceRestTransport._ListLocations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = locations_pb2.ListLocationsResponse() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_list_locations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.GenAiCacheServiceAsyncClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "ListLocations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def get_iam_policy(self): + return self._GetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _GetIamPolicy( + _BaseGenAiCacheServiceRestTransport._BaseGetIamPolicy, GenAiCacheServiceRestStub + ): + def __hash__(self): + return hash("GenAiCacheServiceRestTransport.GetIamPolicy") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the get iam policy method over HTTP. + + Args: + request (iam_policy_pb2.GetIamPolicyRequest): + The request object for GetIamPolicy method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from GetIamPolicy method. + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseGetIamPolicy._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_iam_policy(request, metadata) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseGetIamPolicy._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseGetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "GetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = GenAiCacheServiceRestTransport._GetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_get_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.GenAiCacheServiceAsyncClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "GetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def set_iam_policy(self): + return self._SetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _SetIamPolicy( + _BaseGenAiCacheServiceRestTransport._BaseSetIamPolicy, GenAiCacheServiceRestStub + ): + def __hash__(self): + return hash("GenAiCacheServiceRestTransport.SetIamPolicy") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the set iam policy method over HTTP. + + Args: + request (iam_policy_pb2.SetIamPolicyRequest): + The request object for SetIamPolicy method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from SetIamPolicy method. + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseSetIamPolicy._get_http_options() + ) + + request, metadata = self._interceptor.pre_set_iam_policy(request, metadata) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseSetIamPolicy._get_transcoded_request( + http_options, request + ) + + body = _BaseGenAiCacheServiceRestTransport._BaseSetIamPolicy._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseSetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "SetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = GenAiCacheServiceRestTransport._SetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_set_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.GenAiCacheServiceAsyncClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "SetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def test_iam_permissions(self): + return self._TestIamPermissions(self._session, self._host, self._interceptor) # type: ignore + + class _TestIamPermissions( + _BaseGenAiCacheServiceRestTransport._BaseTestIamPermissions, + GenAiCacheServiceRestStub, + ): + def __hash__(self): + return hash("GenAiCacheServiceRestTransport.TestIamPermissions") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Call the test iam permissions method over HTTP. + + Args: + request (iam_policy_pb2.TestIamPermissionsRequest): + The request object for TestIamPermissions method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + iam_policy_pb2.TestIamPermissionsResponse: Response from TestIamPermissions method. + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseTestIamPermissions._get_http_options() + ) + + request, metadata = self._interceptor.pre_test_iam_permissions( + request, metadata + ) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseTestIamPermissions._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseTestIamPermissions._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "TestIamPermissions", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = GenAiCacheServiceRestTransport._TestIamPermissions._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = iam_policy_pb2.TestIamPermissionsResponse() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_test_iam_permissions(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.GenAiCacheServiceAsyncClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "TestIamPermissions", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def cancel_operation(self): + return self._CancelOperation(self._session, self._host, self._interceptor) # type: ignore + + class _CancelOperation( + _BaseGenAiCacheServiceRestTransport._BaseCancelOperation, + GenAiCacheServiceRestStub, + ): + def __hash__(self): + return hash("GenAiCacheServiceRestTransport.CancelOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.CancelOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the cancel operation method over HTTP. + + Args: + request (operations_pb2.CancelOperationRequest): + The request object for CancelOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseCancelOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_cancel_operation( + request, metadata + ) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseCancelOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseCancelOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.CancelOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "CancelOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = GenAiCacheServiceRestTransport._CancelOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + return self._interceptor.post_cancel_operation(None) + + @property + def delete_operation(self): + return self._DeleteOperation(self._session, self._host, self._interceptor) # type: ignore + + class _DeleteOperation( + _BaseGenAiCacheServiceRestTransport._BaseDeleteOperation, + GenAiCacheServiceRestStub, + ): + def __hash__(self): + return hash("GenAiCacheServiceRestTransport.DeleteOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.DeleteOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the delete operation method over HTTP. + + Args: + request (operations_pb2.DeleteOperationRequest): + The request object for DeleteOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseDeleteOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_delete_operation( + request, metadata + ) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseDeleteOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseDeleteOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.DeleteOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "DeleteOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = GenAiCacheServiceRestTransport._DeleteOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + return self._interceptor.post_delete_operation(None) + + @property + def get_operation(self): + return self._GetOperation(self._session, self._host, self._interceptor) # type: ignore + + class _GetOperation( + _BaseGenAiCacheServiceRestTransport._BaseGetOperation, GenAiCacheServiceRestStub + ): + def __hash__(self): + return hash("GenAiCacheServiceRestTransport.GetOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.GetOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the get operation method over HTTP. + + Args: + request (operations_pb2.GetOperationRequest): + The request object for GetOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from GetOperation method. + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseGetOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_operation(request, metadata) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseGetOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseGetOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "GetOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = GenAiCacheServiceRestTransport._GetOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_get_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.GenAiCacheServiceAsyncClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "GetOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_operations(self): + return self._ListOperations(self._session, self._host, self._interceptor) # type: ignore + + class _ListOperations( + _BaseGenAiCacheServiceRestTransport._BaseListOperations, + GenAiCacheServiceRestStub, + ): + def __hash__(self): + return hash("GenAiCacheServiceRestTransport.ListOperations") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.ListOperationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Call the list operations method over HTTP. + + Args: + request (operations_pb2.ListOperationsRequest): + The request object for ListOperations method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.ListOperationsResponse: Response from ListOperations method. + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseListOperations._get_http_options() + ) + + request, metadata = self._interceptor.pre_list_operations(request, metadata) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseListOperations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseListOperations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "ListOperations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = GenAiCacheServiceRestTransport._ListOperations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = operations_pb2.ListOperationsResponse() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_list_operations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.GenAiCacheServiceAsyncClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "ListOperations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def wait_operation(self): + return self._WaitOperation(self._session, self._host, self._interceptor) # type: ignore + + class _WaitOperation( + _BaseGenAiCacheServiceRestTransport._BaseWaitOperation, + GenAiCacheServiceRestStub, + ): + def __hash__(self): + return hash("GenAiCacheServiceRestTransport.WaitOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.WaitOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the wait operation method over HTTP. + + Args: + request (operations_pb2.WaitOperationRequest): + The request object for WaitOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from WaitOperation method. + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseWaitOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_wait_operation(request, metadata) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseWaitOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseWaitOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "WaitOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = GenAiCacheServiceRestTransport._WaitOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_wait_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.GenAiCacheServiceAsyncClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "WaitOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def kind(self) -> str: + return "rest" + + def close(self): + self._session.close() + + +__all__ = ("GenAiCacheServiceRestTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/transports/rest_asyncio.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/transports/rest_asyncio.py new file mode 100644 index 0000000000000000000000000000000000000000..1dbc81be84201526e6da20513310be1b820d3d59 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/transports/rest_asyncio.py @@ -0,0 +1,3036 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +import google.auth + +try: + import aiohttp # type: ignore + from google.auth.aio.transport.sessions import AsyncAuthorizedSession # type: ignore + from google.api_core import rest_streaming_async # type: ignore + from google.api_core.operations_v1 import AsyncOperationsRestClient # type: ignore +except ImportError as e: # pragma: NO COVER + raise ImportError( + "`rest_asyncio` transport requires the library to be installed with the `async_rest` extra. Install the library with the `async_rest` extra using `pip install google-cloud-aiplatform[async_rest]`" + ) from e + +from google.auth.aio import credentials as ga_credentials_async # type: ignore + +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore +from google.api_core import retry_async as retries +from google.api_core import rest_helpers +from google.api_core import rest_streaming_async # type: ignore +import google.protobuf + +from google.protobuf import json_format +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore + +import json # type: ignore +import dataclasses +from typing import Any, Dict, List, Callable, Tuple, Optional, Sequence, Union + + +from google.cloud.aiplatform_v1.types import cached_content +from google.cloud.aiplatform_v1.types import cached_content as gca_cached_content +from google.cloud.aiplatform_v1.types import gen_ai_cache_service +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore + + +from .rest_base import _BaseGenAiCacheServiceRestTransport + +from .base import DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO + + +import logging + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = logging.getLogger(__name__) + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version, + grpc_version=None, + rest_version=f"google-auth@{google.auth.__version__}", +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +class AsyncGenAiCacheServiceRestInterceptor: + """Asynchronous Interceptor for GenAiCacheService. + + Interceptors are used to manipulate requests, request metadata, and responses + in arbitrary ways. + Example use cases include: + * Logging + * Verifying requests according to service or custom semantics + * Stripping extraneous information from responses + + These use cases and more can be enabled by injecting an + instance of a custom subclass when constructing the AsyncGenAiCacheServiceRestTransport. + + .. code-block:: python + class MyCustomGenAiCacheServiceInterceptor(GenAiCacheServiceRestInterceptor): + async def pre_create_cached_content(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_create_cached_content(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_delete_cached_content(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def pre_get_cached_content(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_get_cached_content(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_list_cached_contents(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_list_cached_contents(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_update_cached_content(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_update_cached_content(self, response): + logging.log(f"Received response: {response}") + return response + + transport = AsyncGenAiCacheServiceRestTransport(interceptor=MyCustomGenAiCacheServiceInterceptor()) + client = async GenAiCacheServiceClient(transport=transport) + + + """ + + async def pre_create_cached_content( + self, + request: gen_ai_cache_service.CreateCachedContentRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + gen_ai_cache_service.CreateCachedContentRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for create_cached_content + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + async def post_create_cached_content( + self, response: gca_cached_content.CachedContent + ) -> gca_cached_content.CachedContent: + """Post-rpc interceptor for create_cached_content + + DEPRECATED. Please use the `post_create_cached_content_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. This `post_create_cached_content` interceptor runs + before the `post_create_cached_content_with_metadata` interceptor. + """ + return response + + async def post_create_cached_content_with_metadata( + self, + response: gca_cached_content.CachedContent, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + gca_cached_content.CachedContent, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Post-rpc interceptor for create_cached_content + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the GenAiCacheService server but before it is returned to user code. + + We recommend only using this `post_create_cached_content_with_metadata` + interceptor in new development instead of the `post_create_cached_content` interceptor. + When both interceptors are used, this `post_create_cached_content_with_metadata` interceptor runs after the + `post_create_cached_content` interceptor. The (possibly modified) response returned by + `post_create_cached_content` will be passed to + `post_create_cached_content_with_metadata`. + """ + return response, metadata + + async def pre_delete_cached_content( + self, + request: gen_ai_cache_service.DeleteCachedContentRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + gen_ai_cache_service.DeleteCachedContentRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for delete_cached_content + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + async def pre_get_cached_content( + self, + request: gen_ai_cache_service.GetCachedContentRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + gen_ai_cache_service.GetCachedContentRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for get_cached_content + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + async def post_get_cached_content( + self, response: cached_content.CachedContent + ) -> cached_content.CachedContent: + """Post-rpc interceptor for get_cached_content + + DEPRECATED. Please use the `post_get_cached_content_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. This `post_get_cached_content` interceptor runs + before the `post_get_cached_content_with_metadata` interceptor. + """ + return response + + async def post_get_cached_content_with_metadata( + self, + response: cached_content.CachedContent, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[cached_content.CachedContent, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for get_cached_content + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the GenAiCacheService server but before it is returned to user code. + + We recommend only using this `post_get_cached_content_with_metadata` + interceptor in new development instead of the `post_get_cached_content` interceptor. + When both interceptors are used, this `post_get_cached_content_with_metadata` interceptor runs after the + `post_get_cached_content` interceptor. The (possibly modified) response returned by + `post_get_cached_content` will be passed to + `post_get_cached_content_with_metadata`. + """ + return response, metadata + + async def pre_list_cached_contents( + self, + request: gen_ai_cache_service.ListCachedContentsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + gen_ai_cache_service.ListCachedContentsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for list_cached_contents + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + async def post_list_cached_contents( + self, response: gen_ai_cache_service.ListCachedContentsResponse + ) -> gen_ai_cache_service.ListCachedContentsResponse: + """Post-rpc interceptor for list_cached_contents + + DEPRECATED. Please use the `post_list_cached_contents_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. This `post_list_cached_contents` interceptor runs + before the `post_list_cached_contents_with_metadata` interceptor. + """ + return response + + async def post_list_cached_contents_with_metadata( + self, + response: gen_ai_cache_service.ListCachedContentsResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + gen_ai_cache_service.ListCachedContentsResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for list_cached_contents + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the GenAiCacheService server but before it is returned to user code. + + We recommend only using this `post_list_cached_contents_with_metadata` + interceptor in new development instead of the `post_list_cached_contents` interceptor. + When both interceptors are used, this `post_list_cached_contents_with_metadata` interceptor runs after the + `post_list_cached_contents` interceptor. The (possibly modified) response returned by + `post_list_cached_contents` will be passed to + `post_list_cached_contents_with_metadata`. + """ + return response, metadata + + async def pre_update_cached_content( + self, + request: gen_ai_cache_service.UpdateCachedContentRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + gen_ai_cache_service.UpdateCachedContentRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for update_cached_content + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + async def post_update_cached_content( + self, response: gca_cached_content.CachedContent + ) -> gca_cached_content.CachedContent: + """Post-rpc interceptor for update_cached_content + + DEPRECATED. Please use the `post_update_cached_content_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. This `post_update_cached_content` interceptor runs + before the `post_update_cached_content_with_metadata` interceptor. + """ + return response + + async def post_update_cached_content_with_metadata( + self, + response: gca_cached_content.CachedContent, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + gca_cached_content.CachedContent, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Post-rpc interceptor for update_cached_content + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the GenAiCacheService server but before it is returned to user code. + + We recommend only using this `post_update_cached_content_with_metadata` + interceptor in new development instead of the `post_update_cached_content` interceptor. + When both interceptors are used, this `post_update_cached_content_with_metadata` interceptor runs after the + `post_update_cached_content` interceptor. The (possibly modified) response returned by + `post_update_cached_content` will be passed to + `post_update_cached_content_with_metadata`. + """ + return response, metadata + + async def pre_get_location( + self, + request: locations_pb2.GetLocationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.GetLocationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_location + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + async def post_get_location( + self, response: locations_pb2.Location + ) -> locations_pb2.Location: + """Post-rpc interceptor for get_location + + Override in a subclass to manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. + """ + return response + + async def pre_list_locations( + self, + request: locations_pb2.ListLocationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.ListLocationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_locations + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + async def post_list_locations( + self, response: locations_pb2.ListLocationsResponse + ) -> locations_pb2.ListLocationsResponse: + """Post-rpc interceptor for list_locations + + Override in a subclass to manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. + """ + return response + + async def pre_get_iam_policy( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.GetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + async def post_get_iam_policy( + self, response: policy_pb2.Policy + ) -> policy_pb2.Policy: + """Post-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. + """ + return response + + async def pre_set_iam_policy( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.SetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + async def post_set_iam_policy( + self, response: policy_pb2.Policy + ) -> policy_pb2.Policy: + """Post-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. + """ + return response + + async def pre_test_iam_permissions( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.TestIamPermissionsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + async def post_test_iam_permissions( + self, response: iam_policy_pb2.TestIamPermissionsResponse + ) -> iam_policy_pb2.TestIamPermissionsResponse: + """Post-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. + """ + return response + + async def pre_cancel_operation( + self, + request: operations_pb2.CancelOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.CancelOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + async def post_cancel_operation(self, response: None) -> None: + """Post-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. + """ + return response + + async def pre_delete_operation( + self, + request: operations_pb2.DeleteOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.DeleteOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for delete_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + async def post_delete_operation(self, response: None) -> None: + """Post-rpc interceptor for delete_operation + + Override in a subclass to manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. + """ + return response + + async def pre_get_operation( + self, + request: operations_pb2.GetOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.GetOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + async def post_get_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for get_operation + + Override in a subclass to manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. + """ + return response + + async def pre_list_operations( + self, + request: operations_pb2.ListOperationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.ListOperationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_operations + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + async def post_list_operations( + self, response: operations_pb2.ListOperationsResponse + ) -> operations_pb2.ListOperationsResponse: + """Post-rpc interceptor for list_operations + + Override in a subclass to manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. + """ + return response + + async def pre_wait_operation( + self, + request: operations_pb2.WaitOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.WaitOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for wait_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the GenAiCacheService server. + """ + return request, metadata + + async def post_wait_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for wait_operation + + Override in a subclass to manipulate the response + after it is returned by the GenAiCacheService server but before + it is returned to user code. + """ + return response + + +@dataclasses.dataclass +class AsyncGenAiCacheServiceRestStub: + _session: AsyncAuthorizedSession + _host: str + _interceptor: AsyncGenAiCacheServiceRestInterceptor + + +class AsyncGenAiCacheServiceRestTransport(_BaseGenAiCacheServiceRestTransport): + """Asynchronous REST backend transport for GenAiCacheService. + + Service for managing Vertex AI's CachedContent resource. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + """ + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials_async.Credentials] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + url_scheme: str = "https", + interceptor: Optional[AsyncGenAiCacheServiceRestInterceptor] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.aio.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + url_scheme (str): the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=False, + url_scheme=url_scheme, + api_audience=None, + ) + self._session = AsyncAuthorizedSession(self._credentials) # type: ignore + self._interceptor = interceptor or AsyncGenAiCacheServiceRestInterceptor() + self._wrap_with_kind = True + self._prep_wrapped_messages(client_info) + + def _prep_wrapped_messages(self, client_info): + """Precompute the wrapped methods, overriding the base class method to use async wrappers.""" + self._wrapped_methods = { + self.create_cached_content: self._wrap_method( + self.create_cached_content, + default_timeout=None, + client_info=client_info, + ), + self.get_cached_content: self._wrap_method( + self.get_cached_content, + default_timeout=None, + client_info=client_info, + ), + self.update_cached_content: self._wrap_method( + self.update_cached_content, + default_timeout=None, + client_info=client_info, + ), + self.delete_cached_content: self._wrap_method( + self.delete_cached_content, + default_timeout=None, + client_info=client_info, + ), + self.list_cached_contents: self._wrap_method( + self.list_cached_contents, + default_timeout=None, + client_info=client_info, + ), + self.get_location: self._wrap_method( + self.get_location, + default_timeout=None, + client_info=client_info, + ), + self.list_locations: self._wrap_method( + self.list_locations, + default_timeout=None, + client_info=client_info, + ), + self.get_iam_policy: self._wrap_method( + self.get_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.set_iam_policy: self._wrap_method( + self.set_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.test_iam_permissions: self._wrap_method( + self.test_iam_permissions, + default_timeout=None, + client_info=client_info, + ), + self.cancel_operation: self._wrap_method( + self.cancel_operation, + default_timeout=None, + client_info=client_info, + ), + self.delete_operation: self._wrap_method( + self.delete_operation, + default_timeout=None, + client_info=client_info, + ), + self.get_operation: self._wrap_method( + self.get_operation, + default_timeout=None, + client_info=client_info, + ), + self.list_operations: self._wrap_method( + self.list_operations, + default_timeout=None, + client_info=client_info, + ), + self.wait_operation: self._wrap_method( + self.wait_operation, + default_timeout=None, + client_info=client_info, + ), + } + + def _wrap_method(self, func, *args, **kwargs): + if self._wrap_with_kind: # pragma: NO COVER + kwargs["kind"] = self.kind + return gapic_v1.method_async.wrap_method(func, *args, **kwargs) + + class _CreateCachedContent( + _BaseGenAiCacheServiceRestTransport._BaseCreateCachedContent, + AsyncGenAiCacheServiceRestStub, + ): + def __hash__(self): + return hash("AsyncGenAiCacheServiceRestTransport.CreateCachedContent") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: gen_ai_cache_service.CreateCachedContentRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_cached_content.CachedContent: + r"""Call the create cached content method over HTTP. + + Args: + request (~.gen_ai_cache_service.CreateCachedContentRequest): + The request object. Request message for + [GenAiCacheService.CreateCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.CreateCachedContent]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.gca_cached_content.CachedContent: + A resource used in LLM queries for + users to explicitly specify what to + cache and how to cache. + + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseCreateCachedContent._get_http_options() + ) + + request, metadata = await self._interceptor.pre_create_cached_content( + request, metadata + ) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseCreateCachedContent._get_transcoded_request( + http_options, request + ) + + body = _BaseGenAiCacheServiceRestTransport._BaseCreateCachedContent._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseCreateCachedContent._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.CreateCachedContent", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "CreateCachedContent", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncGenAiCacheServiceRestTransport._CreateCachedContent._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = gca_cached_content.CachedContent() + pb_resp = gca_cached_content.CachedContent.pb(resp) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_create_cached_content(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_create_cached_content_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = gca_cached_content.CachedContent.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.GenAiCacheServiceAsyncClient.create_cached_content", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "CreateCachedContent", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _DeleteCachedContent( + _BaseGenAiCacheServiceRestTransport._BaseDeleteCachedContent, + AsyncGenAiCacheServiceRestStub, + ): + def __hash__(self): + return hash("AsyncGenAiCacheServiceRestTransport.DeleteCachedContent") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: gen_ai_cache_service.DeleteCachedContentRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ): + r"""Call the delete cached content method over HTTP. + + Args: + request (~.gen_ai_cache_service.DeleteCachedContentRequest): + The request object. Request message for + [GenAiCacheService.DeleteCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.DeleteCachedContent]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseDeleteCachedContent._get_http_options() + ) + + request, metadata = await self._interceptor.pre_delete_cached_content( + request, metadata + ) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseDeleteCachedContent._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseDeleteCachedContent._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.DeleteCachedContent", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "DeleteCachedContent", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncGenAiCacheServiceRestTransport._DeleteCachedContent._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + class _GetCachedContent( + _BaseGenAiCacheServiceRestTransport._BaseGetCachedContent, + AsyncGenAiCacheServiceRestStub, + ): + def __hash__(self): + return hash("AsyncGenAiCacheServiceRestTransport.GetCachedContent") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: gen_ai_cache_service.GetCachedContentRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> cached_content.CachedContent: + r"""Call the get cached content method over HTTP. + + Args: + request (~.gen_ai_cache_service.GetCachedContentRequest): + The request object. Request message for + [GenAiCacheService.GetCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.GetCachedContent]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.cached_content.CachedContent: + A resource used in LLM queries for + users to explicitly specify what to + cache and how to cache. + + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseGetCachedContent._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_cached_content( + request, metadata + ) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseGetCachedContent._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseGetCachedContent._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.GetCachedContent", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "GetCachedContent", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncGenAiCacheServiceRestTransport._GetCachedContent._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = cached_content.CachedContent() + pb_resp = cached_content.CachedContent.pb(resp) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_get_cached_content(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_get_cached_content_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = cached_content.CachedContent.to_json(response) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.GenAiCacheServiceAsyncClient.get_cached_content", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "GetCachedContent", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _ListCachedContents( + _BaseGenAiCacheServiceRestTransport._BaseListCachedContents, + AsyncGenAiCacheServiceRestStub, + ): + def __hash__(self): + return hash("AsyncGenAiCacheServiceRestTransport.ListCachedContents") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: gen_ai_cache_service.ListCachedContentsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gen_ai_cache_service.ListCachedContentsResponse: + r"""Call the list cached contents method over HTTP. + + Args: + request (~.gen_ai_cache_service.ListCachedContentsRequest): + The request object. Request to list CachedContents. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.gen_ai_cache_service.ListCachedContentsResponse: + Response with a list of + CachedContents. + + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseListCachedContents._get_http_options() + ) + + request, metadata = await self._interceptor.pre_list_cached_contents( + request, metadata + ) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseListCachedContents._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseListCachedContents._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.ListCachedContents", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "ListCachedContents", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncGenAiCacheServiceRestTransport._ListCachedContents._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = gen_ai_cache_service.ListCachedContentsResponse() + pb_resp = gen_ai_cache_service.ListCachedContentsResponse.pb(resp) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_list_cached_contents(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_list_cached_contents_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = ( + gen_ai_cache_service.ListCachedContentsResponse.to_json( + response + ) + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.GenAiCacheServiceAsyncClient.list_cached_contents", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "ListCachedContents", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _UpdateCachedContent( + _BaseGenAiCacheServiceRestTransport._BaseUpdateCachedContent, + AsyncGenAiCacheServiceRestStub, + ): + def __hash__(self): + return hash("AsyncGenAiCacheServiceRestTransport.UpdateCachedContent") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: gen_ai_cache_service.UpdateCachedContentRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_cached_content.CachedContent: + r"""Call the update cached content method over HTTP. + + Args: + request (~.gen_ai_cache_service.UpdateCachedContentRequest): + The request object. Request message for + [GenAiCacheService.UpdateCachedContent][google.cloud.aiplatform.v1.GenAiCacheService.UpdateCachedContent]. + Only expire_time or ttl can be updated. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.gca_cached_content.CachedContent: + A resource used in LLM queries for + users to explicitly specify what to + cache and how to cache. + + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseUpdateCachedContent._get_http_options() + ) + + request, metadata = await self._interceptor.pre_update_cached_content( + request, metadata + ) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseUpdateCachedContent._get_transcoded_request( + http_options, request + ) + + body = _BaseGenAiCacheServiceRestTransport._BaseUpdateCachedContent._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseUpdateCachedContent._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.UpdateCachedContent", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "UpdateCachedContent", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncGenAiCacheServiceRestTransport._UpdateCachedContent._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = gca_cached_content.CachedContent() + pb_resp = gca_cached_content.CachedContent.pb(resp) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_update_cached_content(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_update_cached_content_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = gca_cached_content.CachedContent.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.GenAiCacheServiceAsyncClient.update_cached_content", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "UpdateCachedContent", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + @property + def create_cached_content( + self, + ) -> Callable[ + [gen_ai_cache_service.CreateCachedContentRequest], + gca_cached_content.CachedContent, + ]: + return self._CreateCachedContent(self._session, self._host, self._interceptor) # type: ignore + + @property + def delete_cached_content( + self, + ) -> Callable[[gen_ai_cache_service.DeleteCachedContentRequest], empty_pb2.Empty]: + return self._DeleteCachedContent(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_cached_content( + self, + ) -> Callable[ + [gen_ai_cache_service.GetCachedContentRequest], cached_content.CachedContent + ]: + return self._GetCachedContent(self._session, self._host, self._interceptor) # type: ignore + + @property + def list_cached_contents( + self, + ) -> Callable[ + [gen_ai_cache_service.ListCachedContentsRequest], + gen_ai_cache_service.ListCachedContentsResponse, + ]: + return self._ListCachedContents(self._session, self._host, self._interceptor) # type: ignore + + @property + def update_cached_content( + self, + ) -> Callable[ + [gen_ai_cache_service.UpdateCachedContentRequest], + gca_cached_content.CachedContent, + ]: + return self._UpdateCachedContent(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_location(self): + return self._GetLocation(self._session, self._host, self._interceptor) # type: ignore + + class _GetLocation( + _BaseGenAiCacheServiceRestTransport._BaseGetLocation, + AsyncGenAiCacheServiceRestStub, + ): + def __hash__(self): + return hash("AsyncGenAiCacheServiceRestTransport.GetLocation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: locations_pb2.GetLocationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Call the get location method over HTTP. + + Args: + request (locations_pb2.GetLocationRequest): + The request object for GetLocation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.Location: Response from GetLocation method. + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseGetLocation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_location( + request, metadata + ) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseGetLocation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseGetLocation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "GetLocation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncGenAiCacheServiceRestTransport._GetLocation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = locations_pb2.Location() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_get_location(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.GenAiCacheServiceAsyncClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "GetLocation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_locations(self): + return self._ListLocations(self._session, self._host, self._interceptor) # type: ignore + + class _ListLocations( + _BaseGenAiCacheServiceRestTransport._BaseListLocations, + AsyncGenAiCacheServiceRestStub, + ): + def __hash__(self): + return hash("AsyncGenAiCacheServiceRestTransport.ListLocations") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: locations_pb2.ListLocationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Call the list locations method over HTTP. + + Args: + request (locations_pb2.ListLocationsRequest): + The request object for ListLocations method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.ListLocationsResponse: Response from ListLocations method. + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseListLocations._get_http_options() + ) + + request, metadata = await self._interceptor.pre_list_locations( + request, metadata + ) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseListLocations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseListLocations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "ListLocations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncGenAiCacheServiceRestTransport._ListLocations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = locations_pb2.ListLocationsResponse() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_list_locations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.GenAiCacheServiceAsyncClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "ListLocations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def get_iam_policy(self): + return self._GetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _GetIamPolicy( + _BaseGenAiCacheServiceRestTransport._BaseGetIamPolicy, + AsyncGenAiCacheServiceRestStub, + ): + def __hash__(self): + return hash("AsyncGenAiCacheServiceRestTransport.GetIamPolicy") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the get iam policy method over HTTP. + + Args: + request (iam_policy_pb2.GetIamPolicyRequest): + The request object for GetIamPolicy method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from GetIamPolicy method. + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseGetIamPolicy._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_iam_policy( + request, metadata + ) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseGetIamPolicy._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseGetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "GetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncGenAiCacheServiceRestTransport._GetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_get_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.GenAiCacheServiceAsyncClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "GetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def set_iam_policy(self): + return self._SetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _SetIamPolicy( + _BaseGenAiCacheServiceRestTransport._BaseSetIamPolicy, + AsyncGenAiCacheServiceRestStub, + ): + def __hash__(self): + return hash("AsyncGenAiCacheServiceRestTransport.SetIamPolicy") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the set iam policy method over HTTP. + + Args: + request (iam_policy_pb2.SetIamPolicyRequest): + The request object for SetIamPolicy method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from SetIamPolicy method. + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseSetIamPolicy._get_http_options() + ) + + request, metadata = await self._interceptor.pre_set_iam_policy( + request, metadata + ) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseSetIamPolicy._get_transcoded_request( + http_options, request + ) + + body = _BaseGenAiCacheServiceRestTransport._BaseSetIamPolicy._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseSetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "SetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncGenAiCacheServiceRestTransport._SetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_set_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.GenAiCacheServiceAsyncClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "SetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def test_iam_permissions(self): + return self._TestIamPermissions(self._session, self._host, self._interceptor) # type: ignore + + class _TestIamPermissions( + _BaseGenAiCacheServiceRestTransport._BaseTestIamPermissions, + AsyncGenAiCacheServiceRestStub, + ): + def __hash__(self): + return hash("AsyncGenAiCacheServiceRestTransport.TestIamPermissions") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Call the test iam permissions method over HTTP. + + Args: + request (iam_policy_pb2.TestIamPermissionsRequest): + The request object for TestIamPermissions method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + iam_policy_pb2.TestIamPermissionsResponse: Response from TestIamPermissions method. + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseTestIamPermissions._get_http_options() + ) + + request, metadata = await self._interceptor.pre_test_iam_permissions( + request, metadata + ) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseTestIamPermissions._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseTestIamPermissions._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "TestIamPermissions", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncGenAiCacheServiceRestTransport._TestIamPermissions._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = iam_policy_pb2.TestIamPermissionsResponse() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_test_iam_permissions(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.GenAiCacheServiceAsyncClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "TestIamPermissions", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def cancel_operation(self): + return self._CancelOperation(self._session, self._host, self._interceptor) # type: ignore + + class _CancelOperation( + _BaseGenAiCacheServiceRestTransport._BaseCancelOperation, + AsyncGenAiCacheServiceRestStub, + ): + def __hash__(self): + return hash("AsyncGenAiCacheServiceRestTransport.CancelOperation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.CancelOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the cancel operation method over HTTP. + + Args: + request (operations_pb2.CancelOperationRequest): + The request object for CancelOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseCancelOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_cancel_operation( + request, metadata + ) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseCancelOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseCancelOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.CancelOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "CancelOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncGenAiCacheServiceRestTransport._CancelOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + return await self._interceptor.post_cancel_operation(None) + + @property + def delete_operation(self): + return self._DeleteOperation(self._session, self._host, self._interceptor) # type: ignore + + class _DeleteOperation( + _BaseGenAiCacheServiceRestTransport._BaseDeleteOperation, + AsyncGenAiCacheServiceRestStub, + ): + def __hash__(self): + return hash("AsyncGenAiCacheServiceRestTransport.DeleteOperation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.DeleteOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the delete operation method over HTTP. + + Args: + request (operations_pb2.DeleteOperationRequest): + The request object for DeleteOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseDeleteOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_delete_operation( + request, metadata + ) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseDeleteOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseDeleteOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.DeleteOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "DeleteOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncGenAiCacheServiceRestTransport._DeleteOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + return await self._interceptor.post_delete_operation(None) + + @property + def get_operation(self): + return self._GetOperation(self._session, self._host, self._interceptor) # type: ignore + + class _GetOperation( + _BaseGenAiCacheServiceRestTransport._BaseGetOperation, + AsyncGenAiCacheServiceRestStub, + ): + def __hash__(self): + return hash("AsyncGenAiCacheServiceRestTransport.GetOperation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.GetOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the get operation method over HTTP. + + Args: + request (operations_pb2.GetOperationRequest): + The request object for GetOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from GetOperation method. + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseGetOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_operation( + request, metadata + ) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseGetOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseGetOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "GetOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncGenAiCacheServiceRestTransport._GetOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_get_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.GenAiCacheServiceAsyncClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "GetOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_operations(self): + return self._ListOperations(self._session, self._host, self._interceptor) # type: ignore + + class _ListOperations( + _BaseGenAiCacheServiceRestTransport._BaseListOperations, + AsyncGenAiCacheServiceRestStub, + ): + def __hash__(self): + return hash("AsyncGenAiCacheServiceRestTransport.ListOperations") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.ListOperationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Call the list operations method over HTTP. + + Args: + request (operations_pb2.ListOperationsRequest): + The request object for ListOperations method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.ListOperationsResponse: Response from ListOperations method. + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseListOperations._get_http_options() + ) + + request, metadata = await self._interceptor.pre_list_operations( + request, metadata + ) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseListOperations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseListOperations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "ListOperations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncGenAiCacheServiceRestTransport._ListOperations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = operations_pb2.ListOperationsResponse() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_list_operations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.GenAiCacheServiceAsyncClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "ListOperations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def wait_operation(self): + return self._WaitOperation(self._session, self._host, self._interceptor) # type: ignore + + class _WaitOperation( + _BaseGenAiCacheServiceRestTransport._BaseWaitOperation, + AsyncGenAiCacheServiceRestStub, + ): + def __hash__(self): + return hash("AsyncGenAiCacheServiceRestTransport.WaitOperation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.WaitOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the wait operation method over HTTP. + + Args: + request (operations_pb2.WaitOperationRequest): + The request object for WaitOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from WaitOperation method. + """ + + http_options = ( + _BaseGenAiCacheServiceRestTransport._BaseWaitOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_wait_operation( + request, metadata + ) + transcoded_request = _BaseGenAiCacheServiceRestTransport._BaseWaitOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseGenAiCacheServiceRestTransport._BaseWaitOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.GenAiCacheServiceClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "WaitOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncGenAiCacheServiceRestTransport._WaitOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_wait_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.GenAiCacheServiceAsyncClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.GenAiCacheService", + "rpcName": "WaitOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def kind(self) -> str: + return "rest_asyncio" + + async def close(self): + await self._session.close() diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/transports/rest_base.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/transports/rest_base.py new file mode 100644 index 0000000000000000000000000000000000000000..6c840c183b201c06dd20914961f8db27c5588a3e --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_cache_service/transports/rest_base.py @@ -0,0 +1,2730 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import json # type: ignore +from google.api_core import path_template +from google.api_core import gapic_v1 + +from google.protobuf import json_format +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore +from .base import GenAiCacheServiceTransport, DEFAULT_CLIENT_INFO + +import re +from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union + + +from google.cloud.aiplatform_v1.types import cached_content +from google.cloud.aiplatform_v1.types import cached_content as gca_cached_content +from google.cloud.aiplatform_v1.types import gen_ai_cache_service +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore + + +class _BaseGenAiCacheServiceRestTransport(GenAiCacheServiceTransport): + """Base REST backend transport for GenAiCacheService. + + Note: This class is not meant to be used directly. Use its sync and + async sub-classes instead. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + """ + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[Any] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + url_scheme: str = "https", + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[Any]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + url_scheme: the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + maybe_url_match = re.match("^(?Phttp(?:s)?://)?(?P.*)$", host) + if maybe_url_match is None: + raise ValueError( + f"Unexpected hostname structure: {host}" + ) # pragma: NO COVER + + url_match_items = maybe_url_match.groupdict() + + host = f"{url_scheme}://{host}" if not url_match_items["scheme"] else host + + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + class _BaseCreateCachedContent: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{parent=projects/*/locations/*}/cachedContents", + "body": "cached_content", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = gen_ai_cache_service.CreateCachedContentRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request["body"], use_integers_for_enums=True + ) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseGenAiCacheServiceRestTransport._BaseCreateCachedContent._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseDeleteCachedContent: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/cachedContents/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = gen_ai_cache_service.DeleteCachedContentRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseGenAiCacheServiceRestTransport._BaseDeleteCachedContent._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseGetCachedContent: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/cachedContents/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = gen_ai_cache_service.GetCachedContentRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseGenAiCacheServiceRestTransport._BaseGetCachedContent._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseListCachedContents: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/v1/{parent=projects/*/locations/*}/cachedContents", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = gen_ai_cache_service.ListCachedContentsRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseGenAiCacheServiceRestTransport._BaseListCachedContents._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseUpdateCachedContent: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + "updateMask": {}, + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "patch", + "uri": "/v1/{cached_content.name=projects/*/locations/*/cachedContents/*}", + "body": "cached_content", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = gen_ai_cache_service.UpdateCachedContentRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request["body"], use_integers_for_enums=True + ) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseGenAiCacheServiceRestTransport._BaseUpdateCachedContent._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseGetLocation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseListLocations: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*}/locations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*}/locations", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseGetIamPolicy: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/models/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/models/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/endpoints/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/publishers/*/models/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureGroups/*}:getIamPolicy", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseSetIamPolicy: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/models/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/models/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/endpoints/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureGroups/*}:setIamPolicy", + "body": "*", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + body = json.dumps(transcoded_request["body"]) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseTestIamPermissions: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/models/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/models/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/endpoints/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureGroups/*}:testIamPermissions", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseCancelOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseDeleteOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensions/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseGetOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseListOperations: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/agents/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/apps/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensions/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/schedules/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/schedules/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=reasoningEngines/*/sessions/*}/operations", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseWaitOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:wait", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + +__all__ = ("_BaseGenAiCacheServiceRestTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_tuning_service/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_tuning_service/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..5ce83d83aa4c83ee9fba4de5ca1a32749ef35c44 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_tuning_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import GenAiTuningServiceClient +from .async_client import GenAiTuningServiceAsyncClient + +__all__ = ( + "GenAiTuningServiceClient", + "GenAiTuningServiceAsyncClient", +) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_tuning_service/async_client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_tuning_service/async_client.py new file mode 100644 index 0000000000000000000000000000000000000000..87262e71d06d2e2b2ad2c5357831d398d93406a8 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_tuning_service/async_client.py @@ -0,0 +1,1661 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging as std_logging +from collections import OrderedDict +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, +) + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.services.gen_ai_tuning_service import pagers +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import genai_tuning_service +from google.cloud.aiplatform_v1.types import job_state +from google.cloud.aiplatform_v1.types import tuning_job +from google.cloud.aiplatform_v1.types import tuning_job as gca_tuning_job +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +import google.rpc.status_pb2 as status_pb2 # type: ignore +from .transports.base import GenAiTuningServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import GenAiTuningServiceGrpcAsyncIOTransport +from .client import GenAiTuningServiceClient + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class GenAiTuningServiceAsyncClient: + """A service for creating and managing GenAI Tuning Jobs.""" + + _client: GenAiTuningServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = GenAiTuningServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = GenAiTuningServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = GenAiTuningServiceClient._DEFAULT_ENDPOINT_TEMPLATE + _DEFAULT_UNIVERSE = GenAiTuningServiceClient._DEFAULT_UNIVERSE + + context_path = staticmethod(GenAiTuningServiceClient.context_path) + parse_context_path = staticmethod(GenAiTuningServiceClient.parse_context_path) + endpoint_path = staticmethod(GenAiTuningServiceClient.endpoint_path) + parse_endpoint_path = staticmethod(GenAiTuningServiceClient.parse_endpoint_path) + model_path = staticmethod(GenAiTuningServiceClient.model_path) + parse_model_path = staticmethod(GenAiTuningServiceClient.parse_model_path) + pipeline_job_path = staticmethod(GenAiTuningServiceClient.pipeline_job_path) + parse_pipeline_job_path = staticmethod( + GenAiTuningServiceClient.parse_pipeline_job_path + ) + tuning_job_path = staticmethod(GenAiTuningServiceClient.tuning_job_path) + parse_tuning_job_path = staticmethod(GenAiTuningServiceClient.parse_tuning_job_path) + common_billing_account_path = staticmethod( + GenAiTuningServiceClient.common_billing_account_path + ) + parse_common_billing_account_path = staticmethod( + GenAiTuningServiceClient.parse_common_billing_account_path + ) + common_folder_path = staticmethod(GenAiTuningServiceClient.common_folder_path) + parse_common_folder_path = staticmethod( + GenAiTuningServiceClient.parse_common_folder_path + ) + common_organization_path = staticmethod( + GenAiTuningServiceClient.common_organization_path + ) + parse_common_organization_path = staticmethod( + GenAiTuningServiceClient.parse_common_organization_path + ) + common_project_path = staticmethod(GenAiTuningServiceClient.common_project_path) + parse_common_project_path = staticmethod( + GenAiTuningServiceClient.parse_common_project_path + ) + common_location_path = staticmethod(GenAiTuningServiceClient.common_location_path) + parse_common_location_path = staticmethod( + GenAiTuningServiceClient.parse_common_location_path + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + GenAiTuningServiceAsyncClient: The constructed client. + """ + sa_info_func = ( + GenAiTuningServiceClient.from_service_account_info.__func__ # type: ignore + ) + return sa_info_func(GenAiTuningServiceAsyncClient, info, *args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + GenAiTuningServiceAsyncClient: The constructed client. + """ + sa_file_func = ( + GenAiTuningServiceClient.from_service_account_file.__func__ # type: ignore + ) + return sa_file_func(GenAiTuningServiceAsyncClient, filename, *args, **kwargs) + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[ClientOptions] = None + ): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return GenAiTuningServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> GenAiTuningServiceTransport: + """Returns the transport used by the client instance. + + Returns: + GenAiTuningServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = GenAiTuningServiceClient.get_transport_class + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + GenAiTuningServiceTransport, + Callable[..., GenAiTuningServiceTransport], + ] + ] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the gen ai tuning service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,GenAiTuningServiceTransport,Callable[..., GenAiTuningServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport to use. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the GenAiTuningServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = GenAiTuningServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.GenAiTuningServiceAsyncClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.GenAiTuningService", + "universeDomain": getattr( + self._client._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._client._transport._credentials).__module__}.{type(self._client._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, "get_cred_info", lambda: None + )(), + } + if hasattr(self._client._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.GenAiTuningService", + "credentialsType": None, + } + ), + ) + + async def create_tuning_job( + self, + request: Optional[ + Union[genai_tuning_service.CreateTuningJobRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + tuning_job: Optional[gca_tuning_job.TuningJob] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_tuning_job.TuningJob: + r"""Creates a TuningJob. A created TuningJob right away + will be attempted to be run. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_tuning_job(): + # Create a client + client = aiplatform_v1.GenAiTuningServiceAsyncClient() + + # Initialize request argument(s) + tuning_job = aiplatform_v1.TuningJob() + tuning_job.base_model = "base_model_value" + tuning_job.supervised_tuning_spec.training_dataset_uri = "training_dataset_uri_value" + + request = aiplatform_v1.CreateTuningJobRequest( + parent="parent_value", + tuning_job=tuning_job, + ) + + # Make the request + response = await client.create_tuning_job(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateTuningJobRequest, dict]]): + The request object. Request message for + [GenAiTuningService.CreateTuningJob][google.cloud.aiplatform.v1.GenAiTuningService.CreateTuningJob]. + parent (:class:`str`): + Required. The resource name of the Location to create + the TuningJob in. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + tuning_job (:class:`google.cloud.aiplatform_v1.types.TuningJob`): + Required. The TuningJob to create. + This corresponds to the ``tuning_job`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.TuningJob: + Represents a TuningJob that runs with + Google owned models. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, tuning_job] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, genai_tuning_service.CreateTuningJobRequest): + request = genai_tuning_service.CreateTuningJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if tuning_job is not None: + request.tuning_job = tuning_job + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_tuning_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_tuning_job( + self, + request: Optional[Union[genai_tuning_service.GetTuningJobRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> tuning_job.TuningJob: + r"""Gets a TuningJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_tuning_job(): + # Create a client + client = aiplatform_v1.GenAiTuningServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetTuningJobRequest( + name="name_value", + ) + + # Make the request + response = await client.get_tuning_job(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetTuningJobRequest, dict]]): + The request object. Request message for + [GenAiTuningService.GetTuningJob][google.cloud.aiplatform.v1.GenAiTuningService.GetTuningJob]. + name (:class:`str`): + Required. The name of the TuningJob resource. Format: + ``projects/{project}/locations/{location}/tuningJobs/{tuning_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.TuningJob: + Represents a TuningJob that runs with + Google owned models. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, genai_tuning_service.GetTuningJobRequest): + request = genai_tuning_service.GetTuningJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_tuning_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_tuning_jobs( + self, + request: Optional[ + Union[genai_tuning_service.ListTuningJobsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListTuningJobsAsyncPager: + r"""Lists TuningJobs in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_tuning_jobs(): + # Create a client + client = aiplatform_v1.GenAiTuningServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListTuningJobsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_tuning_jobs(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListTuningJobsRequest, dict]]): + The request object. Request message for + [GenAiTuningService.ListTuningJobs][google.cloud.aiplatform.v1.GenAiTuningService.ListTuningJobs]. + parent (:class:`str`): + Required. The resource name of the Location to list the + TuningJobs from. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.gen_ai_tuning_service.pagers.ListTuningJobsAsyncPager: + Response message for + [GenAiTuningService.ListTuningJobs][google.cloud.aiplatform.v1.GenAiTuningService.ListTuningJobs] + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, genai_tuning_service.ListTuningJobsRequest): + request = genai_tuning_service.ListTuningJobsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_tuning_jobs + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListTuningJobsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def cancel_tuning_job( + self, + request: Optional[ + Union[genai_tuning_service.CancelTuningJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Cancels a TuningJob. Starts asynchronous cancellation on the + TuningJob. The server makes a best effort to cancel the job, but + success is not guaranteed. Clients can use + [GenAiTuningService.GetTuningJob][google.cloud.aiplatform.v1.GenAiTuningService.GetTuningJob] + or other methods to check whether the cancellation succeeded or + whether the job completed despite cancellation. On successful + cancellation, the TuningJob is not deleted; instead it becomes a + job with a + [TuningJob.error][google.cloud.aiplatform.v1.TuningJob.error] + value with a [google.rpc.Status.code][google.rpc.Status.code] of + 1, corresponding to ``Code.CANCELLED``, and + [TuningJob.state][google.cloud.aiplatform.v1.TuningJob.state] is + set to ``CANCELLED``. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_cancel_tuning_job(): + # Create a client + client = aiplatform_v1.GenAiTuningServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.CancelTuningJobRequest( + name="name_value", + ) + + # Make the request + await client.cancel_tuning_job(request=request) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CancelTuningJobRequest, dict]]): + The request object. Request message for + [GenAiTuningService.CancelTuningJob][google.cloud.aiplatform.v1.GenAiTuningService.CancelTuningJob]. + name (:class:`str`): + Required. The name of the TuningJob to cancel. Format: + ``projects/{project}/locations/{location}/tuningJobs/{tuning_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, genai_tuning_service.CancelTuningJobRequest): + request = genai_tuning_service.CancelTuningJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.cancel_tuning_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def rebase_tuned_model( + self, + request: Optional[ + Union[genai_tuning_service.RebaseTunedModelRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + tuned_model_ref: Optional[tuning_job.TunedModelRef] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Rebase a TunedModel. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_rebase_tuned_model(): + # Create a client + client = aiplatform_v1.GenAiTuningServiceAsyncClient() + + # Initialize request argument(s) + tuned_model_ref = aiplatform_v1.TunedModelRef() + tuned_model_ref.tuned_model = "tuned_model_value" + + request = aiplatform_v1.RebaseTunedModelRequest( + parent="parent_value", + tuned_model_ref=tuned_model_ref, + ) + + # Make the request + operation = client.rebase_tuned_model(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.RebaseTunedModelRequest, dict]]): + The request object. Request message for + [GenAiTuningService.RebaseTunedModel][google.cloud.aiplatform.v1.GenAiTuningService.RebaseTunedModel]. + parent (:class:`str`): + Required. The resource name of the Location into which + to rebase the Model. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + tuned_model_ref (:class:`google.cloud.aiplatform_v1.types.TunedModelRef`): + Required. TunedModel reference to + retrieve the legacy model information. + + This corresponds to the ``tuned_model_ref`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.aiplatform_v1.types.TuningJob` + Represents a TuningJob that runs with Google owned + models. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, tuned_model_ref] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, genai_tuning_service.RebaseTunedModelRequest): + request = genai_tuning_service.RebaseTunedModelRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if tuned_model_ref is not None: + request.tuned_model_ref = tuned_model_ref + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.rebase_tuned_model + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + tuning_job.TuningJob, + metadata_type=genai_tuning_service.RebaseTunedModelOperationMetadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[ + self._client._transport.test_iam_permissions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self) -> "GenAiTuningServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +__all__ = ("GenAiTuningServiceAsyncClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_tuning_service/client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_tuning_service/client.py new file mode 100644 index 0000000000000000000000000000000000000000..a7dba1e309099eeeb74de949a0aa78db35f212aa --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_tuning_service/client.py @@ -0,0 +1,2236 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from http import HTTPStatus +import json +import logging as std_logging +import os +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, + cast, +) +import warnings + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + +from google.cloud.aiplatform_v1.services.gen_ai_tuning_service import pagers +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import genai_tuning_service +from google.cloud.aiplatform_v1.types import job_state +from google.cloud.aiplatform_v1.types import tuning_job +from google.cloud.aiplatform_v1.types import tuning_job as gca_tuning_job +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +import google.rpc.status_pb2 as status_pb2 # type: ignore +from .transports.base import GenAiTuningServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import GenAiTuningServiceGrpcTransport +from .transports.grpc_asyncio import GenAiTuningServiceGrpcAsyncIOTransport +from .transports.rest import GenAiTuningServiceRestTransport + +try: + from .transports.rest_asyncio import AsyncGenAiTuningServiceRestTransport + + HAS_ASYNC_REST_DEPENDENCIES = True +except ImportError as e: # pragma: NO COVER + HAS_ASYNC_REST_DEPENDENCIES = False + ASYNC_REST_EXCEPTION = e + + +class GenAiTuningServiceClientMeta(type): + """Metaclass for the GenAiTuningService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + + _transport_registry = ( + OrderedDict() + ) # type: Dict[str, Type[GenAiTuningServiceTransport]] + _transport_registry["grpc"] = GenAiTuningServiceGrpcTransport + _transport_registry["grpc_asyncio"] = GenAiTuningServiceGrpcAsyncIOTransport + _transport_registry["rest"] = GenAiTuningServiceRestTransport + if HAS_ASYNC_REST_DEPENDENCIES: # pragma: NO COVER + _transport_registry["rest_asyncio"] = AsyncGenAiTuningServiceRestTransport + + def get_transport_class( + cls, + label: Optional[str] = None, + ) -> Type[GenAiTuningServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if ( + label == "rest_asyncio" and not HAS_ASYNC_REST_DEPENDENCIES + ): # pragma: NO COVER + raise ASYNC_REST_EXCEPTION + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class GenAiTuningServiceClient(metaclass=GenAiTuningServiceClientMeta): + """A service for creating and managing GenAI Tuning Jobs.""" + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "aiplatform.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @staticmethod + def _use_client_cert_effective(): + """Returns whether client certificate should be used for mTLS if the + google-auth version supports should_use_client_cert automatic mTLS enablement. + + Alternatively, read from the GOOGLE_API_USE_CLIENT_CERTIFICATE env var. + + Returns: + bool: whether client certificate should be used for mTLS + Raises: + ValueError: (If using a version of google-auth without should_use_client_cert and + GOOGLE_API_USE_CLIENT_CERTIFICATE is set to an unexpected value.) + """ + # check if google-auth version supports should_use_client_cert for automatic mTLS enablement + if hasattr(mtls, "should_use_client_cert"): # pragma: NO COVER + return mtls.should_use_client_cert() + else: # pragma: NO COVER + # if unsupported, fallback to reading from env var + use_client_cert_str = os.getenv( + "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false" + ).lower() + if use_client_cert_str not in ("true", "false"): + raise ValueError( + "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be" + " either `true` or `false`" + ) + return use_client_cert_str == "true" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + GenAiTuningServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + GenAiTuningServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file(filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> GenAiTuningServiceTransport: + """Returns the transport used by the client instance. + + Returns: + GenAiTuningServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def context_path( + project: str, + location: str, + metadata_store: str, + context: str, + ) -> str: + """Returns a fully-qualified context string.""" + return "projects/{project}/locations/{location}/metadataStores/{metadata_store}/contexts/{context}".format( + project=project, + location=location, + metadata_store=metadata_store, + context=context, + ) + + @staticmethod + def parse_context_path(path: str) -> Dict[str, str]: + """Parses a context path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/metadataStores/(?P.+?)/contexts/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def endpoint_path( + project: str, + location: str, + endpoint: str, + ) -> str: + """Returns a fully-qualified endpoint string.""" + return "projects/{project}/locations/{location}/endpoints/{endpoint}".format( + project=project, + location=location, + endpoint=endpoint, + ) + + @staticmethod + def parse_endpoint_path(path: str) -> Dict[str, str]: + """Parses a endpoint path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/endpoints/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def model_path( + project: str, + location: str, + model: str, + ) -> str: + """Returns a fully-qualified model string.""" + return "projects/{project}/locations/{location}/models/{model}".format( + project=project, + location=location, + model=model, + ) + + @staticmethod + def parse_model_path(path: str) -> Dict[str, str]: + """Parses a model path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/models/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def pipeline_job_path( + project: str, + location: str, + pipeline_job: str, + ) -> str: + """Returns a fully-qualified pipeline_job string.""" + return "projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}".format( + project=project, + location=location, + pipeline_job=pipeline_job, + ) + + @staticmethod + def parse_pipeline_job_path(path: str) -> Dict[str, str]: + """Parses a pipeline_job path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/pipelineJobs/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def tuning_job_path( + project: str, + location: str, + tuning_job: str, + ) -> str: + """Returns a fully-qualified tuning_job string.""" + return "projects/{project}/locations/{location}/tuningJobs/{tuning_job}".format( + project=project, + location=location, + tuning_job=tuning_job, + ) + + @staticmethod + def parse_tuning_job_path(path: str) -> Dict[str, str]: + """Parses a tuning_job path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/tuningJobs/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path( + billing_account: str, + ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format( + billing_account=billing_account, + ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str, str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path( + folder: str, + ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format( + folder=folder, + ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str, str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path( + organization: str, + ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format( + organization=organization, + ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str, str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path( + project: str, + ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format( + project=project, + ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str, str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path( + project: str, + location: str, + ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format( + project=project, + location=location, + ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str, str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[client_options_lib.ClientOptions] = None + ): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn( + "get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning, + ) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = GenAiTuningServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert: + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = GenAiTuningServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + return use_client_cert, use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint( + api_override, client_cert_source, universe_domain, use_mtls_endpoint + ): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + _default_universe = GenAiTuningServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError( + f"mTLS is not supported in any universe other than {_default_universe}." + ) + api_endpoint = GenAiTuningServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = GenAiTuningServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format( + UNIVERSE_DOMAIN=universe_domain + ) + return api_endpoint + + @staticmethod + def _get_universe_domain( + client_universe_domain: Optional[str], universe_domain_env: Optional[str] + ) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = GenAiTuningServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + + # NOTE (b/349488459): universe validation is disabled until further notice. + return True + + def _add_cred_info_for_auth_errors( + self, error: core_exceptions.GoogleAPICallError + ) -> None: + """Adds credential info string to error details for 401/403/404 errors. + + Args: + error (google.api_core.exceptions.GoogleAPICallError): The error to add the cred info. + """ + if error.code not in [ + HTTPStatus.UNAUTHORIZED, + HTTPStatus.FORBIDDEN, + HTTPStatus.NOT_FOUND, + ]: + return + + cred = self._transport._credentials + + # get_cred_info is only available in google-auth>=2.35.0 + if not hasattr(cred, "get_cred_info"): + return + + # ignore the type check since pypy test fails when get_cred_info + # is not available + cred_info = cred.get_cred_info() # type: ignore + if cred_info and hasattr(error._details, "append"): + error._details.append(json.dumps(cred_info)) + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + GenAiTuningServiceTransport, + Callable[..., GenAiTuningServiceTransport], + ] + ] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the gen ai tuning service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,GenAiTuningServiceTransport,Callable[..., GenAiTuningServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the GenAiTuningServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast( + client_options_lib.ClientOptions, self._client_options + ) + + universe_domain_opt = getattr(self._client_options, "universe_domain", None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = ( + GenAiTuningServiceClient._read_environment_variables() + ) + self._client_cert_source = GenAiTuningServiceClient._get_client_cert_source( + self._client_options.client_cert_source, self._use_client_cert + ) + self._universe_domain = GenAiTuningServiceClient._get_universe_domain( + universe_domain_opt, self._universe_domain_env + ) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + if CLIENT_LOGGING_SUPPORTED: # pragma: NO COVER + # Setup logging. + client_logging.initialize_logging() + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError( + "client_options.api_key and credentials are mutually exclusive" + ) + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance(transport, GenAiTuningServiceTransport) + if transport_provided: + # transport is a GenAiTuningServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError( + "When providing a transport instance, " + "provide its credentials directly." + ) + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(GenAiTuningServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = ( + self._api_endpoint + or GenAiTuningServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint, + ) + ) + + if not transport_provided: + transport_init: Union[ + Type[GenAiTuningServiceTransport], + Callable[..., GenAiTuningServiceTransport], + ] = ( + GenAiTuningServiceClient.get_transport_class(transport) + if isinstance(transport, str) or transport is None + else cast(Callable[..., GenAiTuningServiceTransport], transport) + ) + + if "rest_asyncio" in str(transport_init): + unsupported_params = { + "google.api_core.client_options.ClientOptions.credentials_file": self._client_options.credentials_file, + "google.api_core.client_options.ClientOptions.scopes": self._client_options.scopes, + "google.api_core.client_options.ClientOptions.quota_project_id": self._client_options.quota_project_id, + "google.api_core.client_options.ClientOptions.client_cert_source": self._client_options.client_cert_source, + "google.api_core.client_options.ClientOptions.api_audience": self._client_options.api_audience, + } + provided_unsupported_params = [ + name + for name, value in unsupported_params.items() + if value is not None + ] + if provided_unsupported_params: + raise core_exceptions.AsyncRestUnsupportedParameterError( # type: ignore + f"The following provided parameters are not supported for `transport=rest_asyncio`: {', '.join(provided_unsupported_params)}" + ) + self._transport = transport_init( + credentials=credentials, + host=self._api_endpoint, + client_info=client_info, + ) + return + + import google.auth._default # type: ignore + + if api_key_value and hasattr( + google.auth._default, "get_api_key_credentials" + ): + credentials = google.auth._default.get_api_key_credentials( + api_key_value + ) + + # initialize with the provided callable or the passed in class + self._transport = transport_init( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + if "async" not in str(self._transport): + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.GenAiTuningServiceClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.GenAiTuningService", + "universeDomain": getattr( + self._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._transport._credentials).__module__}.{type(self._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, + "get_cred_info", + lambda: None, + )(), + } + if hasattr(self._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.GenAiTuningService", + "credentialsType": None, + } + ), + ) + + def create_tuning_job( + self, + request: Optional[ + Union[genai_tuning_service.CreateTuningJobRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + tuning_job: Optional[gca_tuning_job.TuningJob] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_tuning_job.TuningJob: + r"""Creates a TuningJob. A created TuningJob right away + will be attempted to be run. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_tuning_job(): + # Create a client + client = aiplatform_v1.GenAiTuningServiceClient() + + # Initialize request argument(s) + tuning_job = aiplatform_v1.TuningJob() + tuning_job.base_model = "base_model_value" + tuning_job.supervised_tuning_spec.training_dataset_uri = "training_dataset_uri_value" + + request = aiplatform_v1.CreateTuningJobRequest( + parent="parent_value", + tuning_job=tuning_job, + ) + + # Make the request + response = client.create_tuning_job(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateTuningJobRequest, dict]): + The request object. Request message for + [GenAiTuningService.CreateTuningJob][google.cloud.aiplatform.v1.GenAiTuningService.CreateTuningJob]. + parent (str): + Required. The resource name of the Location to create + the TuningJob in. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + tuning_job (google.cloud.aiplatform_v1.types.TuningJob): + Required. The TuningJob to create. + This corresponds to the ``tuning_job`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.TuningJob: + Represents a TuningJob that runs with + Google owned models. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, tuning_job] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, genai_tuning_service.CreateTuningJobRequest): + request = genai_tuning_service.CreateTuningJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if tuning_job is not None: + request.tuning_job = tuning_job + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_tuning_job] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def get_tuning_job( + self, + request: Optional[Union[genai_tuning_service.GetTuningJobRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> tuning_job.TuningJob: + r"""Gets a TuningJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_tuning_job(): + # Create a client + client = aiplatform_v1.GenAiTuningServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetTuningJobRequest( + name="name_value", + ) + + # Make the request + response = client.get_tuning_job(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetTuningJobRequest, dict]): + The request object. Request message for + [GenAiTuningService.GetTuningJob][google.cloud.aiplatform.v1.GenAiTuningService.GetTuningJob]. + name (str): + Required. The name of the TuningJob resource. Format: + ``projects/{project}/locations/{location}/tuningJobs/{tuning_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.TuningJob: + Represents a TuningJob that runs with + Google owned models. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, genai_tuning_service.GetTuningJobRequest): + request = genai_tuning_service.GetTuningJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_tuning_job] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_tuning_jobs( + self, + request: Optional[ + Union[genai_tuning_service.ListTuningJobsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListTuningJobsPager: + r"""Lists TuningJobs in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_tuning_jobs(): + # Create a client + client = aiplatform_v1.GenAiTuningServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListTuningJobsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_tuning_jobs(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListTuningJobsRequest, dict]): + The request object. Request message for + [GenAiTuningService.ListTuningJobs][google.cloud.aiplatform.v1.GenAiTuningService.ListTuningJobs]. + parent (str): + Required. The resource name of the Location to list the + TuningJobs from. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.gen_ai_tuning_service.pagers.ListTuningJobsPager: + Response message for + [GenAiTuningService.ListTuningJobs][google.cloud.aiplatform.v1.GenAiTuningService.ListTuningJobs] + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, genai_tuning_service.ListTuningJobsRequest): + request = genai_tuning_service.ListTuningJobsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_tuning_jobs] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListTuningJobsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def cancel_tuning_job( + self, + request: Optional[ + Union[genai_tuning_service.CancelTuningJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Cancels a TuningJob. Starts asynchronous cancellation on the + TuningJob. The server makes a best effort to cancel the job, but + success is not guaranteed. Clients can use + [GenAiTuningService.GetTuningJob][google.cloud.aiplatform.v1.GenAiTuningService.GetTuningJob] + or other methods to check whether the cancellation succeeded or + whether the job completed despite cancellation. On successful + cancellation, the TuningJob is not deleted; instead it becomes a + job with a + [TuningJob.error][google.cloud.aiplatform.v1.TuningJob.error] + value with a [google.rpc.Status.code][google.rpc.Status.code] of + 1, corresponding to ``Code.CANCELLED``, and + [TuningJob.state][google.cloud.aiplatform.v1.TuningJob.state] is + set to ``CANCELLED``. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_cancel_tuning_job(): + # Create a client + client = aiplatform_v1.GenAiTuningServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.CancelTuningJobRequest( + name="name_value", + ) + + # Make the request + client.cancel_tuning_job(request=request) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CancelTuningJobRequest, dict]): + The request object. Request message for + [GenAiTuningService.CancelTuningJob][google.cloud.aiplatform.v1.GenAiTuningService.CancelTuningJob]. + name (str): + Required. The name of the TuningJob to cancel. Format: + ``projects/{project}/locations/{location}/tuningJobs/{tuning_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, genai_tuning_service.CancelTuningJobRequest): + request = genai_tuning_service.CancelTuningJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_tuning_job] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def rebase_tuned_model( + self, + request: Optional[ + Union[genai_tuning_service.RebaseTunedModelRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + tuned_model_ref: Optional[tuning_job.TunedModelRef] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation.Operation: + r"""Rebase a TunedModel. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_rebase_tuned_model(): + # Create a client + client = aiplatform_v1.GenAiTuningServiceClient() + + # Initialize request argument(s) + tuned_model_ref = aiplatform_v1.TunedModelRef() + tuned_model_ref.tuned_model = "tuned_model_value" + + request = aiplatform_v1.RebaseTunedModelRequest( + parent="parent_value", + tuned_model_ref=tuned_model_ref, + ) + + # Make the request + operation = client.rebase_tuned_model(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.RebaseTunedModelRequest, dict]): + The request object. Request message for + [GenAiTuningService.RebaseTunedModel][google.cloud.aiplatform.v1.GenAiTuningService.RebaseTunedModel]. + parent (str): + Required. The resource name of the Location into which + to rebase the Model. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + tuned_model_ref (google.cloud.aiplatform_v1.types.TunedModelRef): + Required. TunedModel reference to + retrieve the legacy model information. + + This corresponds to the ``tuned_model_ref`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.aiplatform_v1.types.TuningJob` + Represents a TuningJob that runs with Google owned + models. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, tuned_model_ref] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, genai_tuning_service.RebaseTunedModelRequest): + request = genai_tuning_service.RebaseTunedModelRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if tuned_model_ref is not None: + request.tuned_model_ref = tuned_model_ref + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.rebase_tuned_model] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + tuning_job.TuningJob, + metadata_type=genai_tuning_service.RebaseTunedModelOperationMetadata, + ) + + # Done; return the response. + return response + + def __enter__(self) -> "GenAiTuningServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + +__all__ = ("GenAiTuningServiceClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_tuning_service/pagers.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_tuning_service/pagers.py new file mode 100644 index 0000000000000000000000000000000000000000..b50b5dcca6a03c8c9e52476eeb09005f26d40344 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/gen_ai_tuning_service/pagers.py @@ -0,0 +1,197 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import retry_async as retries_async +from typing import ( + Any, + AsyncIterator, + Awaitable, + Callable, + Sequence, + Tuple, + Optional, + Iterator, + Union, +) + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] + OptionalAsyncRetry = Union[ + retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None + ] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.types import genai_tuning_service +from google.cloud.aiplatform_v1.types import tuning_job + + +class ListTuningJobsPager: + """A pager for iterating through ``list_tuning_jobs`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListTuningJobsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``tuning_jobs`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListTuningJobs`` requests and continue to iterate + through the ``tuning_jobs`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListTuningJobsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., genai_tuning_service.ListTuningJobsResponse], + request: genai_tuning_service.ListTuningJobsRequest, + response: genai_tuning_service.ListTuningJobsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListTuningJobsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListTuningJobsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = genai_tuning_service.ListTuningJobsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[genai_tuning_service.ListTuningJobsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[tuning_job.TuningJob]: + for page in self.pages: + yield from page.tuning_jobs + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListTuningJobsAsyncPager: + """A pager for iterating through ``list_tuning_jobs`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListTuningJobsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``tuning_jobs`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListTuningJobs`` requests and continue to iterate + through the ``tuning_jobs`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListTuningJobsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[genai_tuning_service.ListTuningJobsResponse]], + request: genai_tuning_service.ListTuningJobsRequest, + response: genai_tuning_service.ListTuningJobsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListTuningJobsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListTuningJobsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = genai_tuning_service.ListTuningJobsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[genai_tuning_service.ListTuningJobsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[tuning_job.TuningJob]: + async def async_generator(): + async for page in self.pages: + for response in page.tuning_jobs: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_endpoint_service/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_endpoint_service/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..0cde92313eaee58b3abd90ce879a891c8e0f66f2 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_endpoint_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import IndexEndpointServiceClient +from .async_client import IndexEndpointServiceAsyncClient + +__all__ = ( + "IndexEndpointServiceClient", + "IndexEndpointServiceAsyncClient", +) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_endpoint_service/async_client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_endpoint_service/async_client.py new file mode 100644 index 0000000000000000000000000000000000000000..18ac8853452711a95214753ff6bcf8dc64f92532 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_endpoint_service/async_client.py @@ -0,0 +1,2126 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging as std_logging +from collections import OrderedDict +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, +) + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.services.index_endpoint_service import pagers +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import index_endpoint +from google.cloud.aiplatform_v1.types import index_endpoint as gca_index_endpoint +from google.cloud.aiplatform_v1.types import index_endpoint_service +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.aiplatform_v1.types import service_networking +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +from .transports.base import IndexEndpointServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import IndexEndpointServiceGrpcAsyncIOTransport +from .client import IndexEndpointServiceClient + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class IndexEndpointServiceAsyncClient: + """A service for managing Vertex AI's IndexEndpoints.""" + + _client: IndexEndpointServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = IndexEndpointServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = IndexEndpointServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = IndexEndpointServiceClient._DEFAULT_ENDPOINT_TEMPLATE + _DEFAULT_UNIVERSE = IndexEndpointServiceClient._DEFAULT_UNIVERSE + + index_path = staticmethod(IndexEndpointServiceClient.index_path) + parse_index_path = staticmethod(IndexEndpointServiceClient.parse_index_path) + index_endpoint_path = staticmethod(IndexEndpointServiceClient.index_endpoint_path) + parse_index_endpoint_path = staticmethod( + IndexEndpointServiceClient.parse_index_endpoint_path + ) + reservation_path = staticmethod(IndexEndpointServiceClient.reservation_path) + parse_reservation_path = staticmethod( + IndexEndpointServiceClient.parse_reservation_path + ) + common_billing_account_path = staticmethod( + IndexEndpointServiceClient.common_billing_account_path + ) + parse_common_billing_account_path = staticmethod( + IndexEndpointServiceClient.parse_common_billing_account_path + ) + common_folder_path = staticmethod(IndexEndpointServiceClient.common_folder_path) + parse_common_folder_path = staticmethod( + IndexEndpointServiceClient.parse_common_folder_path + ) + common_organization_path = staticmethod( + IndexEndpointServiceClient.common_organization_path + ) + parse_common_organization_path = staticmethod( + IndexEndpointServiceClient.parse_common_organization_path + ) + common_project_path = staticmethod(IndexEndpointServiceClient.common_project_path) + parse_common_project_path = staticmethod( + IndexEndpointServiceClient.parse_common_project_path + ) + common_location_path = staticmethod(IndexEndpointServiceClient.common_location_path) + parse_common_location_path = staticmethod( + IndexEndpointServiceClient.parse_common_location_path + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + IndexEndpointServiceAsyncClient: The constructed client. + """ + sa_info_func = ( + IndexEndpointServiceClient.from_service_account_info.__func__ # type: ignore + ) + return sa_info_func(IndexEndpointServiceAsyncClient, info, *args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + IndexEndpointServiceAsyncClient: The constructed client. + """ + sa_file_func = ( + IndexEndpointServiceClient.from_service_account_file.__func__ # type: ignore + ) + return sa_file_func(IndexEndpointServiceAsyncClient, filename, *args, **kwargs) + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[ClientOptions] = None + ): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return IndexEndpointServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> IndexEndpointServiceTransport: + """Returns the transport used by the client instance. + + Returns: + IndexEndpointServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = IndexEndpointServiceClient.get_transport_class + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + IndexEndpointServiceTransport, + Callable[..., IndexEndpointServiceTransport], + ] + ] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the index endpoint service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,IndexEndpointServiceTransport,Callable[..., IndexEndpointServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport to use. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the IndexEndpointServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = IndexEndpointServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.IndexEndpointServiceAsyncClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.IndexEndpointService", + "universeDomain": getattr( + self._client._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._client._transport._credentials).__module__}.{type(self._client._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, "get_cred_info", lambda: None + )(), + } + if hasattr(self._client._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.IndexEndpointService", + "credentialsType": None, + } + ), + ) + + async def create_index_endpoint( + self, + request: Optional[ + Union[index_endpoint_service.CreateIndexEndpointRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + index_endpoint: Optional[gca_index_endpoint.IndexEndpoint] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Creates an IndexEndpoint. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_index_endpoint(): + # Create a client + client = aiplatform_v1.IndexEndpointServiceAsyncClient() + + # Initialize request argument(s) + index_endpoint = aiplatform_v1.IndexEndpoint() + index_endpoint.display_name = "display_name_value" + + request = aiplatform_v1.CreateIndexEndpointRequest( + parent="parent_value", + index_endpoint=index_endpoint, + ) + + # Make the request + operation = client.create_index_endpoint(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateIndexEndpointRequest, dict]]): + The request object. Request message for + [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.CreateIndexEndpoint]. + parent (:class:`str`): + Required. The resource name of the Location to create + the IndexEndpoint in. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + index_endpoint (:class:`google.cloud.aiplatform_v1.types.IndexEndpoint`): + Required. The IndexEndpoint to + create. + + This corresponds to the ``index_endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.IndexEndpoint` Indexes are deployed into it. An IndexEndpoint can have multiple + DeployedIndexes. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, index_endpoint] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_endpoint_service.CreateIndexEndpointRequest): + request = index_endpoint_service.CreateIndexEndpointRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if index_endpoint is not None: + request.index_endpoint = index_endpoint + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_index_endpoint + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gca_index_endpoint.IndexEndpoint, + metadata_type=index_endpoint_service.CreateIndexEndpointOperationMetadata, + ) + + # Done; return the response. + return response + + async def get_index_endpoint( + self, + request: Optional[ + Union[index_endpoint_service.GetIndexEndpointRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> index_endpoint.IndexEndpoint: + r"""Gets an IndexEndpoint. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_index_endpoint(): + # Create a client + client = aiplatform_v1.IndexEndpointServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetIndexEndpointRequest( + name="name_value", + ) + + # Make the request + response = await client.get_index_endpoint(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetIndexEndpointRequest, dict]]): + The request object. Request message for + [IndexEndpointService.GetIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.GetIndexEndpoint] + name (:class:`str`): + Required. The name of the IndexEndpoint resource. + Format: + ``projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.IndexEndpoint: + Indexes are deployed into it. An + IndexEndpoint can have multiple + DeployedIndexes. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_endpoint_service.GetIndexEndpointRequest): + request = index_endpoint_service.GetIndexEndpointRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_index_endpoint + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_index_endpoints( + self, + request: Optional[ + Union[index_endpoint_service.ListIndexEndpointsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListIndexEndpointsAsyncPager: + r"""Lists IndexEndpoints in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_index_endpoints(): + # Create a client + client = aiplatform_v1.IndexEndpointServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListIndexEndpointsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_index_endpoints(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListIndexEndpointsRequest, dict]]): + The request object. Request message for + [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints]. + parent (:class:`str`): + Required. The resource name of the Location from which + to list the IndexEndpoints. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.index_endpoint_service.pagers.ListIndexEndpointsAsyncPager: + Response message for + [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_endpoint_service.ListIndexEndpointsRequest): + request = index_endpoint_service.ListIndexEndpointsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_index_endpoints + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListIndexEndpointsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def update_index_endpoint( + self, + request: Optional[ + Union[index_endpoint_service.UpdateIndexEndpointRequest, dict] + ] = None, + *, + index_endpoint: Optional[gca_index_endpoint.IndexEndpoint] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_index_endpoint.IndexEndpoint: + r"""Updates an IndexEndpoint. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_update_index_endpoint(): + # Create a client + client = aiplatform_v1.IndexEndpointServiceAsyncClient() + + # Initialize request argument(s) + index_endpoint = aiplatform_v1.IndexEndpoint() + index_endpoint.display_name = "display_name_value" + + request = aiplatform_v1.UpdateIndexEndpointRequest( + index_endpoint=index_endpoint, + ) + + # Make the request + response = await client.update_index_endpoint(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UpdateIndexEndpointRequest, dict]]): + The request object. Request message for + [IndexEndpointService.UpdateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.UpdateIndexEndpoint]. + index_endpoint (:class:`google.cloud.aiplatform_v1.types.IndexEndpoint`): + Required. The IndexEndpoint which + replaces the resource on the server. + + This corresponds to the ``index_endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Required. The update mask applies to the resource. See + [google.protobuf.FieldMask][google.protobuf.FieldMask]. + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.IndexEndpoint: + Indexes are deployed into it. An + IndexEndpoint can have multiple + DeployedIndexes. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [index_endpoint, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_endpoint_service.UpdateIndexEndpointRequest): + request = index_endpoint_service.UpdateIndexEndpointRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if index_endpoint is not None: + request.index_endpoint = index_endpoint + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.update_index_endpoint + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("index_endpoint.name", request.index_endpoint.name),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_index_endpoint( + self, + request: Optional[ + Union[index_endpoint_service.DeleteIndexEndpointRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes an IndexEndpoint. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_index_endpoint(): + # Create a client + client = aiplatform_v1.IndexEndpointServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteIndexEndpointRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_index_endpoint(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteIndexEndpointRequest, dict]]): + The request object. Request message for + [IndexEndpointService.DeleteIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.DeleteIndexEndpoint]. + name (:class:`str`): + Required. The name of the IndexEndpoint resource to be + deleted. Format: + ``projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_endpoint_service.DeleteIndexEndpointRequest): + request = index_endpoint_service.DeleteIndexEndpointRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_index_endpoint + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def deploy_index( + self, + request: Optional[ + Union[index_endpoint_service.DeployIndexRequest, dict] + ] = None, + *, + index_endpoint: Optional[str] = None, + deployed_index: Optional[gca_index_endpoint.DeployedIndex] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deploys an Index into this IndexEndpoint, creating a + DeployedIndex within it. + Only non-empty Indexes can be deployed. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_deploy_index(): + # Create a client + client = aiplatform_v1.IndexEndpointServiceAsyncClient() + + # Initialize request argument(s) + deployed_index = aiplatform_v1.DeployedIndex() + deployed_index.id = "id_value" + deployed_index.index = "index_value" + + request = aiplatform_v1.DeployIndexRequest( + index_endpoint="index_endpoint_value", + deployed_index=deployed_index, + ) + + # Make the request + operation = client.deploy_index(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeployIndexRequest, dict]]): + The request object. Request message for + [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex]. + index_endpoint (:class:`str`): + Required. The name of the IndexEndpoint resource into + which to deploy an Index. Format: + ``projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`` + + This corresponds to the ``index_endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + deployed_index (:class:`google.cloud.aiplatform_v1.types.DeployedIndex`): + Required. The DeployedIndex to be + created within the IndexEndpoint. + + This corresponds to the ``deployed_index`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.DeployIndexResponse` Response message for + [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [index_endpoint, deployed_index] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_endpoint_service.DeployIndexRequest): + request = index_endpoint_service.DeployIndexRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if index_endpoint is not None: + request.index_endpoint = index_endpoint + if deployed_index is not None: + request.deployed_index = deployed_index + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.deploy_index + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("index_endpoint", request.index_endpoint),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + index_endpoint_service.DeployIndexResponse, + metadata_type=index_endpoint_service.DeployIndexOperationMetadata, + ) + + # Done; return the response. + return response + + async def undeploy_index( + self, + request: Optional[ + Union[index_endpoint_service.UndeployIndexRequest, dict] + ] = None, + *, + index_endpoint: Optional[str] = None, + deployed_index_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Undeploys an Index from an IndexEndpoint, removing a + DeployedIndex from it, and freeing all resources it's + using. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_undeploy_index(): + # Create a client + client = aiplatform_v1.IndexEndpointServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.UndeployIndexRequest( + index_endpoint="index_endpoint_value", + deployed_index_id="deployed_index_id_value", + ) + + # Make the request + operation = client.undeploy_index(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UndeployIndexRequest, dict]]): + The request object. Request message for + [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex]. + index_endpoint (:class:`str`): + Required. The name of the IndexEndpoint resource from + which to undeploy an Index. Format: + ``projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`` + + This corresponds to the ``index_endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + deployed_index_id (:class:`str`): + Required. The ID of the DeployedIndex + to be undeployed from the IndexEndpoint. + + This corresponds to the ``deployed_index_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.UndeployIndexResponse` Response message for + [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [index_endpoint, deployed_index_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_endpoint_service.UndeployIndexRequest): + request = index_endpoint_service.UndeployIndexRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if index_endpoint is not None: + request.index_endpoint = index_endpoint + if deployed_index_id is not None: + request.deployed_index_id = deployed_index_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.undeploy_index + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("index_endpoint", request.index_endpoint),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + index_endpoint_service.UndeployIndexResponse, + metadata_type=index_endpoint_service.UndeployIndexOperationMetadata, + ) + + # Done; return the response. + return response + + async def mutate_deployed_index( + self, + request: Optional[ + Union[index_endpoint_service.MutateDeployedIndexRequest, dict] + ] = None, + *, + index_endpoint: Optional[str] = None, + deployed_index: Optional[gca_index_endpoint.DeployedIndex] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Update an existing DeployedIndex under an + IndexEndpoint. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_mutate_deployed_index(): + # Create a client + client = aiplatform_v1.IndexEndpointServiceAsyncClient() + + # Initialize request argument(s) + deployed_index = aiplatform_v1.DeployedIndex() + deployed_index.id = "id_value" + deployed_index.index = "index_value" + + request = aiplatform_v1.MutateDeployedIndexRequest( + index_endpoint="index_endpoint_value", + deployed_index=deployed_index, + ) + + # Make the request + operation = client.mutate_deployed_index(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.MutateDeployedIndexRequest, dict]]): + The request object. Request message for + [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex]. + index_endpoint (:class:`str`): + Required. The name of the IndexEndpoint resource into + which to deploy an Index. Format: + ``projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`` + + This corresponds to the ``index_endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + deployed_index (:class:`google.cloud.aiplatform_v1.types.DeployedIndex`): + Required. The DeployedIndex to be updated within the + IndexEndpoint. Currently, the updatable fields are + [DeployedIndex.automatic_resources][google.cloud.aiplatform.v1.DeployedIndex.automatic_resources] + and + [DeployedIndex.dedicated_resources][google.cloud.aiplatform.v1.DeployedIndex.dedicated_resources] + + This corresponds to the ``deployed_index`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.MutateDeployedIndexResponse` Response message for + [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [index_endpoint, deployed_index] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_endpoint_service.MutateDeployedIndexRequest): + request = index_endpoint_service.MutateDeployedIndexRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if index_endpoint is not None: + request.index_endpoint = index_endpoint + if deployed_index is not None: + request.deployed_index = deployed_index + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.mutate_deployed_index + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("index_endpoint", request.index_endpoint),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + index_endpoint_service.MutateDeployedIndexResponse, + metadata_type=index_endpoint_service.MutateDeployedIndexOperationMetadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[ + self._client._transport.test_iam_permissions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self) -> "IndexEndpointServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +__all__ = ("IndexEndpointServiceAsyncClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_endpoint_service/client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_endpoint_service/client.py new file mode 100644 index 0000000000000000000000000000000000000000..b67a668a9faeeadab0fbfd751fa2a5b2c44b5a55 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_endpoint_service/client.py @@ -0,0 +1,2648 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from http import HTTPStatus +import json +import logging as std_logging +import os +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, + cast, +) +import warnings + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + +from google.cloud.aiplatform_v1.services.index_endpoint_service import pagers +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import index_endpoint +from google.cloud.aiplatform_v1.types import index_endpoint as gca_index_endpoint +from google.cloud.aiplatform_v1.types import index_endpoint_service +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.aiplatform_v1.types import service_networking +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +from .transports.base import IndexEndpointServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import IndexEndpointServiceGrpcTransport +from .transports.grpc_asyncio import IndexEndpointServiceGrpcAsyncIOTransport +from .transports.rest import IndexEndpointServiceRestTransport + +try: + from .transports.rest_asyncio import AsyncIndexEndpointServiceRestTransport + + HAS_ASYNC_REST_DEPENDENCIES = True +except ImportError as e: # pragma: NO COVER + HAS_ASYNC_REST_DEPENDENCIES = False + ASYNC_REST_EXCEPTION = e + + +class IndexEndpointServiceClientMeta(type): + """Metaclass for the IndexEndpointService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + + _transport_registry = ( + OrderedDict() + ) # type: Dict[str, Type[IndexEndpointServiceTransport]] + _transport_registry["grpc"] = IndexEndpointServiceGrpcTransport + _transport_registry["grpc_asyncio"] = IndexEndpointServiceGrpcAsyncIOTransport + _transport_registry["rest"] = IndexEndpointServiceRestTransport + if HAS_ASYNC_REST_DEPENDENCIES: # pragma: NO COVER + _transport_registry["rest_asyncio"] = AsyncIndexEndpointServiceRestTransport + + def get_transport_class( + cls, + label: Optional[str] = None, + ) -> Type[IndexEndpointServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if ( + label == "rest_asyncio" and not HAS_ASYNC_REST_DEPENDENCIES + ): # pragma: NO COVER + raise ASYNC_REST_EXCEPTION + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class IndexEndpointServiceClient(metaclass=IndexEndpointServiceClientMeta): + """A service for managing Vertex AI's IndexEndpoints.""" + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "aiplatform.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @staticmethod + def _use_client_cert_effective(): + """Returns whether client certificate should be used for mTLS if the + google-auth version supports should_use_client_cert automatic mTLS enablement. + + Alternatively, read from the GOOGLE_API_USE_CLIENT_CERTIFICATE env var. + + Returns: + bool: whether client certificate should be used for mTLS + Raises: + ValueError: (If using a version of google-auth without should_use_client_cert and + GOOGLE_API_USE_CLIENT_CERTIFICATE is set to an unexpected value.) + """ + # check if google-auth version supports should_use_client_cert for automatic mTLS enablement + if hasattr(mtls, "should_use_client_cert"): # pragma: NO COVER + return mtls.should_use_client_cert() + else: # pragma: NO COVER + # if unsupported, fallback to reading from env var + use_client_cert_str = os.getenv( + "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false" + ).lower() + if use_client_cert_str not in ("true", "false"): + raise ValueError( + "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be" + " either `true` or `false`" + ) + return use_client_cert_str == "true" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + IndexEndpointServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + IndexEndpointServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file(filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> IndexEndpointServiceTransport: + """Returns the transport used by the client instance. + + Returns: + IndexEndpointServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def index_path( + project: str, + location: str, + index: str, + ) -> str: + """Returns a fully-qualified index string.""" + return "projects/{project}/locations/{location}/indexes/{index}".format( + project=project, + location=location, + index=index, + ) + + @staticmethod + def parse_index_path(path: str) -> Dict[str, str]: + """Parses a index path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/indexes/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def index_endpoint_path( + project: str, + location: str, + index_endpoint: str, + ) -> str: + """Returns a fully-qualified index_endpoint string.""" + return "projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}".format( + project=project, + location=location, + index_endpoint=index_endpoint, + ) + + @staticmethod + def parse_index_endpoint_path(path: str) -> Dict[str, str]: + """Parses a index_endpoint path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/indexEndpoints/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def reservation_path( + project_id_or_number: str, + zone: str, + reservation_name: str, + ) -> str: + """Returns a fully-qualified reservation string.""" + return "projects/{project_id_or_number}/zones/{zone}/reservations/{reservation_name}".format( + project_id_or_number=project_id_or_number, + zone=zone, + reservation_name=reservation_name, + ) + + @staticmethod + def parse_reservation_path(path: str) -> Dict[str, str]: + """Parses a reservation path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/zones/(?P.+?)/reservations/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path( + billing_account: str, + ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format( + billing_account=billing_account, + ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str, str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path( + folder: str, + ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format( + folder=folder, + ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str, str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path( + organization: str, + ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format( + organization=organization, + ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str, str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path( + project: str, + ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format( + project=project, + ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str, str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path( + project: str, + location: str, + ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format( + project=project, + location=location, + ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str, str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[client_options_lib.ClientOptions] = None + ): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn( + "get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning, + ) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = IndexEndpointServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert: + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = IndexEndpointServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + return use_client_cert, use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint( + api_override, client_cert_source, universe_domain, use_mtls_endpoint + ): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + _default_universe = IndexEndpointServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError( + f"mTLS is not supported in any universe other than {_default_universe}." + ) + api_endpoint = IndexEndpointServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = IndexEndpointServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format( + UNIVERSE_DOMAIN=universe_domain + ) + return api_endpoint + + @staticmethod + def _get_universe_domain( + client_universe_domain: Optional[str], universe_domain_env: Optional[str] + ) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = IndexEndpointServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + + # NOTE (b/349488459): universe validation is disabled until further notice. + return True + + def _add_cred_info_for_auth_errors( + self, error: core_exceptions.GoogleAPICallError + ) -> None: + """Adds credential info string to error details for 401/403/404 errors. + + Args: + error (google.api_core.exceptions.GoogleAPICallError): The error to add the cred info. + """ + if error.code not in [ + HTTPStatus.UNAUTHORIZED, + HTTPStatus.FORBIDDEN, + HTTPStatus.NOT_FOUND, + ]: + return + + cred = self._transport._credentials + + # get_cred_info is only available in google-auth>=2.35.0 + if not hasattr(cred, "get_cred_info"): + return + + # ignore the type check since pypy test fails when get_cred_info + # is not available + cred_info = cred.get_cred_info() # type: ignore + if cred_info and hasattr(error._details, "append"): + error._details.append(json.dumps(cred_info)) + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + IndexEndpointServiceTransport, + Callable[..., IndexEndpointServiceTransport], + ] + ] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the index endpoint service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,IndexEndpointServiceTransport,Callable[..., IndexEndpointServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the IndexEndpointServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast( + client_options_lib.ClientOptions, self._client_options + ) + + universe_domain_opt = getattr(self._client_options, "universe_domain", None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = ( + IndexEndpointServiceClient._read_environment_variables() + ) + self._client_cert_source = IndexEndpointServiceClient._get_client_cert_source( + self._client_options.client_cert_source, self._use_client_cert + ) + self._universe_domain = IndexEndpointServiceClient._get_universe_domain( + universe_domain_opt, self._universe_domain_env + ) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + if CLIENT_LOGGING_SUPPORTED: # pragma: NO COVER + # Setup logging. + client_logging.initialize_logging() + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError( + "client_options.api_key and credentials are mutually exclusive" + ) + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance(transport, IndexEndpointServiceTransport) + if transport_provided: + # transport is a IndexEndpointServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError( + "When providing a transport instance, " + "provide its credentials directly." + ) + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(IndexEndpointServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = ( + self._api_endpoint + or IndexEndpointServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint, + ) + ) + + if not transport_provided: + transport_init: Union[ + Type[IndexEndpointServiceTransport], + Callable[..., IndexEndpointServiceTransport], + ] = ( + IndexEndpointServiceClient.get_transport_class(transport) + if isinstance(transport, str) or transport is None + else cast(Callable[..., IndexEndpointServiceTransport], transport) + ) + + if "rest_asyncio" in str(transport_init): + unsupported_params = { + "google.api_core.client_options.ClientOptions.credentials_file": self._client_options.credentials_file, + "google.api_core.client_options.ClientOptions.scopes": self._client_options.scopes, + "google.api_core.client_options.ClientOptions.quota_project_id": self._client_options.quota_project_id, + "google.api_core.client_options.ClientOptions.client_cert_source": self._client_options.client_cert_source, + "google.api_core.client_options.ClientOptions.api_audience": self._client_options.api_audience, + } + provided_unsupported_params = [ + name + for name, value in unsupported_params.items() + if value is not None + ] + if provided_unsupported_params: + raise core_exceptions.AsyncRestUnsupportedParameterError( # type: ignore + f"The following provided parameters are not supported for `transport=rest_asyncio`: {', '.join(provided_unsupported_params)}" + ) + self._transport = transport_init( + credentials=credentials, + host=self._api_endpoint, + client_info=client_info, + ) + return + + import google.auth._default # type: ignore + + if api_key_value and hasattr( + google.auth._default, "get_api_key_credentials" + ): + credentials = google.auth._default.get_api_key_credentials( + api_key_value + ) + + # initialize with the provided callable or the passed in class + self._transport = transport_init( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + if "async" not in str(self._transport): + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.IndexEndpointServiceClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.IndexEndpointService", + "universeDomain": getattr( + self._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._transport._credentials).__module__}.{type(self._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, + "get_cred_info", + lambda: None, + )(), + } + if hasattr(self._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.IndexEndpointService", + "credentialsType": None, + } + ), + ) + + def create_index_endpoint( + self, + request: Optional[ + Union[index_endpoint_service.CreateIndexEndpointRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + index_endpoint: Optional[gca_index_endpoint.IndexEndpoint] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Creates an IndexEndpoint. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_index_endpoint(): + # Create a client + client = aiplatform_v1.IndexEndpointServiceClient() + + # Initialize request argument(s) + index_endpoint = aiplatform_v1.IndexEndpoint() + index_endpoint.display_name = "display_name_value" + + request = aiplatform_v1.CreateIndexEndpointRequest( + parent="parent_value", + index_endpoint=index_endpoint, + ) + + # Make the request + operation = client.create_index_endpoint(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateIndexEndpointRequest, dict]): + The request object. Request message for + [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.CreateIndexEndpoint]. + parent (str): + Required. The resource name of the Location to create + the IndexEndpoint in. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + index_endpoint (google.cloud.aiplatform_v1.types.IndexEndpoint): + Required. The IndexEndpoint to + create. + + This corresponds to the ``index_endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.IndexEndpoint` Indexes are deployed into it. An IndexEndpoint can have multiple + DeployedIndexes. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, index_endpoint] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_endpoint_service.CreateIndexEndpointRequest): + request = index_endpoint_service.CreateIndexEndpointRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if index_endpoint is not None: + request.index_endpoint = index_endpoint + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_index_endpoint] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + gca_index_endpoint.IndexEndpoint, + metadata_type=index_endpoint_service.CreateIndexEndpointOperationMetadata, + ) + + # Done; return the response. + return response + + def get_index_endpoint( + self, + request: Optional[ + Union[index_endpoint_service.GetIndexEndpointRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> index_endpoint.IndexEndpoint: + r"""Gets an IndexEndpoint. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_index_endpoint(): + # Create a client + client = aiplatform_v1.IndexEndpointServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetIndexEndpointRequest( + name="name_value", + ) + + # Make the request + response = client.get_index_endpoint(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetIndexEndpointRequest, dict]): + The request object. Request message for + [IndexEndpointService.GetIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.GetIndexEndpoint] + name (str): + Required. The name of the IndexEndpoint resource. + Format: + ``projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.IndexEndpoint: + Indexes are deployed into it. An + IndexEndpoint can have multiple + DeployedIndexes. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_endpoint_service.GetIndexEndpointRequest): + request = index_endpoint_service.GetIndexEndpointRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_index_endpoint] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_index_endpoints( + self, + request: Optional[ + Union[index_endpoint_service.ListIndexEndpointsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListIndexEndpointsPager: + r"""Lists IndexEndpoints in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_index_endpoints(): + # Create a client + client = aiplatform_v1.IndexEndpointServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListIndexEndpointsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_index_endpoints(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListIndexEndpointsRequest, dict]): + The request object. Request message for + [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints]. + parent (str): + Required. The resource name of the Location from which + to list the IndexEndpoints. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.index_endpoint_service.pagers.ListIndexEndpointsPager: + Response message for + [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1.IndexEndpointService.ListIndexEndpoints]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_endpoint_service.ListIndexEndpointsRequest): + request = index_endpoint_service.ListIndexEndpointsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_index_endpoints] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListIndexEndpointsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def update_index_endpoint( + self, + request: Optional[ + Union[index_endpoint_service.UpdateIndexEndpointRequest, dict] + ] = None, + *, + index_endpoint: Optional[gca_index_endpoint.IndexEndpoint] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_index_endpoint.IndexEndpoint: + r"""Updates an IndexEndpoint. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_update_index_endpoint(): + # Create a client + client = aiplatform_v1.IndexEndpointServiceClient() + + # Initialize request argument(s) + index_endpoint = aiplatform_v1.IndexEndpoint() + index_endpoint.display_name = "display_name_value" + + request = aiplatform_v1.UpdateIndexEndpointRequest( + index_endpoint=index_endpoint, + ) + + # Make the request + response = client.update_index_endpoint(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UpdateIndexEndpointRequest, dict]): + The request object. Request message for + [IndexEndpointService.UpdateIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.UpdateIndexEndpoint]. + index_endpoint (google.cloud.aiplatform_v1.types.IndexEndpoint): + Required. The IndexEndpoint which + replaces the resource on the server. + + This corresponds to the ``index_endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Required. The update mask applies to the resource. See + [google.protobuf.FieldMask][google.protobuf.FieldMask]. + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.IndexEndpoint: + Indexes are deployed into it. An + IndexEndpoint can have multiple + DeployedIndexes. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [index_endpoint, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_endpoint_service.UpdateIndexEndpointRequest): + request = index_endpoint_service.UpdateIndexEndpointRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if index_endpoint is not None: + request.index_endpoint = index_endpoint + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.update_index_endpoint] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("index_endpoint.name", request.index_endpoint.name),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def delete_index_endpoint( + self, + request: Optional[ + Union[index_endpoint_service.DeleteIndexEndpointRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes an IndexEndpoint. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_index_endpoint(): + # Create a client + client = aiplatform_v1.IndexEndpointServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteIndexEndpointRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_index_endpoint(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteIndexEndpointRequest, dict]): + The request object. Request message for + [IndexEndpointService.DeleteIndexEndpoint][google.cloud.aiplatform.v1.IndexEndpointService.DeleteIndexEndpoint]. + name (str): + Required. The name of the IndexEndpoint resource to be + deleted. Format: + ``projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_endpoint_service.DeleteIndexEndpointRequest): + request = index_endpoint_service.DeleteIndexEndpointRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_index_endpoint] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def deploy_index( + self, + request: Optional[ + Union[index_endpoint_service.DeployIndexRequest, dict] + ] = None, + *, + index_endpoint: Optional[str] = None, + deployed_index: Optional[gca_index_endpoint.DeployedIndex] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deploys an Index into this IndexEndpoint, creating a + DeployedIndex within it. + Only non-empty Indexes can be deployed. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_deploy_index(): + # Create a client + client = aiplatform_v1.IndexEndpointServiceClient() + + # Initialize request argument(s) + deployed_index = aiplatform_v1.DeployedIndex() + deployed_index.id = "id_value" + deployed_index.index = "index_value" + + request = aiplatform_v1.DeployIndexRequest( + index_endpoint="index_endpoint_value", + deployed_index=deployed_index, + ) + + # Make the request + operation = client.deploy_index(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeployIndexRequest, dict]): + The request object. Request message for + [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex]. + index_endpoint (str): + Required. The name of the IndexEndpoint resource into + which to deploy an Index. Format: + ``projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`` + + This corresponds to the ``index_endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + deployed_index (google.cloud.aiplatform_v1.types.DeployedIndex): + Required. The DeployedIndex to be + created within the IndexEndpoint. + + This corresponds to the ``deployed_index`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.DeployIndexResponse` Response message for + [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.DeployIndex]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [index_endpoint, deployed_index] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_endpoint_service.DeployIndexRequest): + request = index_endpoint_service.DeployIndexRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if index_endpoint is not None: + request.index_endpoint = index_endpoint + if deployed_index is not None: + request.deployed_index = deployed_index + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.deploy_index] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("index_endpoint", request.index_endpoint),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + index_endpoint_service.DeployIndexResponse, + metadata_type=index_endpoint_service.DeployIndexOperationMetadata, + ) + + # Done; return the response. + return response + + def undeploy_index( + self, + request: Optional[ + Union[index_endpoint_service.UndeployIndexRequest, dict] + ] = None, + *, + index_endpoint: Optional[str] = None, + deployed_index_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Undeploys an Index from an IndexEndpoint, removing a + DeployedIndex from it, and freeing all resources it's + using. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_undeploy_index(): + # Create a client + client = aiplatform_v1.IndexEndpointServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.UndeployIndexRequest( + index_endpoint="index_endpoint_value", + deployed_index_id="deployed_index_id_value", + ) + + # Make the request + operation = client.undeploy_index(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UndeployIndexRequest, dict]): + The request object. Request message for + [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex]. + index_endpoint (str): + Required. The name of the IndexEndpoint resource from + which to undeploy an Index. Format: + ``projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`` + + This corresponds to the ``index_endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + deployed_index_id (str): + Required. The ID of the DeployedIndex + to be undeployed from the IndexEndpoint. + + This corresponds to the ``deployed_index_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.UndeployIndexResponse` Response message for + [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1.IndexEndpointService.UndeployIndex]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [index_endpoint, deployed_index_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_endpoint_service.UndeployIndexRequest): + request = index_endpoint_service.UndeployIndexRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if index_endpoint is not None: + request.index_endpoint = index_endpoint + if deployed_index_id is not None: + request.deployed_index_id = deployed_index_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.undeploy_index] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("index_endpoint", request.index_endpoint),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + index_endpoint_service.UndeployIndexResponse, + metadata_type=index_endpoint_service.UndeployIndexOperationMetadata, + ) + + # Done; return the response. + return response + + def mutate_deployed_index( + self, + request: Optional[ + Union[index_endpoint_service.MutateDeployedIndexRequest, dict] + ] = None, + *, + index_endpoint: Optional[str] = None, + deployed_index: Optional[gca_index_endpoint.DeployedIndex] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Update an existing DeployedIndex under an + IndexEndpoint. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_mutate_deployed_index(): + # Create a client + client = aiplatform_v1.IndexEndpointServiceClient() + + # Initialize request argument(s) + deployed_index = aiplatform_v1.DeployedIndex() + deployed_index.id = "id_value" + deployed_index.index = "index_value" + + request = aiplatform_v1.MutateDeployedIndexRequest( + index_endpoint="index_endpoint_value", + deployed_index=deployed_index, + ) + + # Make the request + operation = client.mutate_deployed_index(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.MutateDeployedIndexRequest, dict]): + The request object. Request message for + [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex]. + index_endpoint (str): + Required. The name of the IndexEndpoint resource into + which to deploy an Index. Format: + ``projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`` + + This corresponds to the ``index_endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + deployed_index (google.cloud.aiplatform_v1.types.DeployedIndex): + Required. The DeployedIndex to be updated within the + IndexEndpoint. Currently, the updatable fields are + [DeployedIndex.automatic_resources][google.cloud.aiplatform.v1.DeployedIndex.automatic_resources] + and + [DeployedIndex.dedicated_resources][google.cloud.aiplatform.v1.DeployedIndex.dedicated_resources] + + This corresponds to the ``deployed_index`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.MutateDeployedIndexResponse` Response message for + [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1.IndexEndpointService.MutateDeployedIndex]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [index_endpoint, deployed_index] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_endpoint_service.MutateDeployedIndexRequest): + request = index_endpoint_service.MutateDeployedIndexRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if index_endpoint is not None: + request.index_endpoint = index_endpoint + if deployed_index is not None: + request.deployed_index = deployed_index + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.mutate_deployed_index] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("index_endpoint", request.index_endpoint),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + index_endpoint_service.MutateDeployedIndexResponse, + metadata_type=index_endpoint_service.MutateDeployedIndexOperationMetadata, + ) + + # Done; return the response. + return response + + def __enter__(self) -> "IndexEndpointServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + +__all__ = ("IndexEndpointServiceClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_endpoint_service/pagers.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_endpoint_service/pagers.py new file mode 100644 index 0000000000000000000000000000000000000000..ce0894c9a723ba109b92a1e9d567ab1c00fb0753 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_endpoint_service/pagers.py @@ -0,0 +1,201 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import retry_async as retries_async +from typing import ( + Any, + AsyncIterator, + Awaitable, + Callable, + Sequence, + Tuple, + Optional, + Iterator, + Union, +) + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] + OptionalAsyncRetry = Union[ + retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None + ] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.types import index_endpoint +from google.cloud.aiplatform_v1.types import index_endpoint_service + + +class ListIndexEndpointsPager: + """A pager for iterating through ``list_index_endpoints`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListIndexEndpointsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``index_endpoints`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListIndexEndpoints`` requests and continue to iterate + through the ``index_endpoints`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListIndexEndpointsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., index_endpoint_service.ListIndexEndpointsResponse], + request: index_endpoint_service.ListIndexEndpointsRequest, + response: index_endpoint_service.ListIndexEndpointsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListIndexEndpointsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListIndexEndpointsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = index_endpoint_service.ListIndexEndpointsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[index_endpoint_service.ListIndexEndpointsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[index_endpoint.IndexEndpoint]: + for page in self.pages: + yield from page.index_endpoints + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListIndexEndpointsAsyncPager: + """A pager for iterating through ``list_index_endpoints`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListIndexEndpointsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``index_endpoints`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListIndexEndpoints`` requests and continue to iterate + through the ``index_endpoints`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListIndexEndpointsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[ + ..., Awaitable[index_endpoint_service.ListIndexEndpointsResponse] + ], + request: index_endpoint_service.ListIndexEndpointsRequest, + response: index_endpoint_service.ListIndexEndpointsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListIndexEndpointsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListIndexEndpointsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = index_endpoint_service.ListIndexEndpointsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages( + self, + ) -> AsyncIterator[index_endpoint_service.ListIndexEndpointsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[index_endpoint.IndexEndpoint]: + async def async_generator(): + async for page in self.pages: + for response in page.index_endpoints: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e9750e75654ebe73fefb44e5f0e69d215da44222 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import IndexServiceClient +from .async_client import IndexServiceAsyncClient + +__all__ = ( + "IndexServiceClient", + "IndexServiceAsyncClient", +) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/__pycache__/__init__.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/__pycache__/__init__.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..670071dd47b31bc88857d652df5fd94e12047b0e Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/__pycache__/__init__.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/__pycache__/async_client.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/__pycache__/async_client.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..02283fdd524bab1e27e2f4559b8be4f6b07302d5 Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/__pycache__/async_client.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/__pycache__/client.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/__pycache__/client.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..ea4237799ad50263edaeb3b215467e5f7b028aab Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/__pycache__/client.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/__pycache__/pagers.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/__pycache__/pagers.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..3a84da02211b00967e196b1ae8742754f7766752 Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/__pycache__/pagers.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/async_client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/async_client.py new file mode 100644 index 0000000000000000000000000000000000000000..287ded362b47d9b6cd741a421f21c7b48b927fd9 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/async_client.py @@ -0,0 +1,1856 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging as std_logging +from collections import OrderedDict +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, +) + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.services.index_service import pagers +from google.cloud.aiplatform_v1.types import deployed_index_ref +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import index +from google.cloud.aiplatform_v1.types import index as gca_index +from google.cloud.aiplatform_v1.types import index_service +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.struct_pb2 as struct_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +from .transports.base import IndexServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import IndexServiceGrpcAsyncIOTransport +from .client import IndexServiceClient + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class IndexServiceAsyncClient: + """A service for creating and managing Vertex AI's Index + resources. + """ + + _client: IndexServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = IndexServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = IndexServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = IndexServiceClient._DEFAULT_ENDPOINT_TEMPLATE + _DEFAULT_UNIVERSE = IndexServiceClient._DEFAULT_UNIVERSE + + index_path = staticmethod(IndexServiceClient.index_path) + parse_index_path = staticmethod(IndexServiceClient.parse_index_path) + index_endpoint_path = staticmethod(IndexServiceClient.index_endpoint_path) + parse_index_endpoint_path = staticmethod( + IndexServiceClient.parse_index_endpoint_path + ) + common_billing_account_path = staticmethod( + IndexServiceClient.common_billing_account_path + ) + parse_common_billing_account_path = staticmethod( + IndexServiceClient.parse_common_billing_account_path + ) + common_folder_path = staticmethod(IndexServiceClient.common_folder_path) + parse_common_folder_path = staticmethod(IndexServiceClient.parse_common_folder_path) + common_organization_path = staticmethod(IndexServiceClient.common_organization_path) + parse_common_organization_path = staticmethod( + IndexServiceClient.parse_common_organization_path + ) + common_project_path = staticmethod(IndexServiceClient.common_project_path) + parse_common_project_path = staticmethod( + IndexServiceClient.parse_common_project_path + ) + common_location_path = staticmethod(IndexServiceClient.common_location_path) + parse_common_location_path = staticmethod( + IndexServiceClient.parse_common_location_path + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + IndexServiceAsyncClient: The constructed client. + """ + sa_info_func = ( + IndexServiceClient.from_service_account_info.__func__ # type: ignore + ) + return sa_info_func(IndexServiceAsyncClient, info, *args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + IndexServiceAsyncClient: The constructed client. + """ + sa_file_func = ( + IndexServiceClient.from_service_account_file.__func__ # type: ignore + ) + return sa_file_func(IndexServiceAsyncClient, filename, *args, **kwargs) + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[ClientOptions] = None + ): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return IndexServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> IndexServiceTransport: + """Returns the transport used by the client instance. + + Returns: + IndexServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = IndexServiceClient.get_transport_class + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[str, IndexServiceTransport, Callable[..., IndexServiceTransport]] + ] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the index service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,IndexServiceTransport,Callable[..., IndexServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport to use. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the IndexServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = IndexServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.IndexServiceAsyncClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "universeDomain": getattr( + self._client._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._client._transport._credentials).__module__}.{type(self._client._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, "get_cred_info", lambda: None + )(), + } + if hasattr(self._client._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "credentialsType": None, + } + ), + ) + + async def create_index( + self, + request: Optional[Union[index_service.CreateIndexRequest, dict]] = None, + *, + parent: Optional[str] = None, + index: Optional[gca_index.Index] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Creates an Index. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_index(): + # Create a client + client = aiplatform_v1.IndexServiceAsyncClient() + + # Initialize request argument(s) + index = aiplatform_v1.Index() + index.display_name = "display_name_value" + + request = aiplatform_v1.CreateIndexRequest( + parent="parent_value", + index=index, + ) + + # Make the request + operation = client.create_index(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateIndexRequest, dict]]): + The request object. Request message for + [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex]. + parent (:class:`str`): + Required. The resource name of the Location to create + the Index in. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + index (:class:`google.cloud.aiplatform_v1.types.Index`): + Required. The Index to create. + This corresponds to the ``index`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.Index` A representation of a collection of database items organized in a way that + allows for approximate nearest neighbor (a.k.a ANN) + algorithms search. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, index] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_service.CreateIndexRequest): + request = index_service.CreateIndexRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if index is not None: + request.index = index + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_index + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gca_index.Index, + metadata_type=index_service.CreateIndexOperationMetadata, + ) + + # Done; return the response. + return response + + async def get_index( + self, + request: Optional[Union[index_service.GetIndexRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> index.Index: + r"""Gets an Index. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_index(): + # Create a client + client = aiplatform_v1.IndexServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetIndexRequest( + name="name_value", + ) + + # Make the request + response = await client.get_index(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetIndexRequest, dict]]): + The request object. Request message for + [IndexService.GetIndex][google.cloud.aiplatform.v1.IndexService.GetIndex] + name (:class:`str`): + Required. The name of the Index resource. Format: + ``projects/{project}/locations/{location}/indexes/{index}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Index: + A representation of a collection of + database items organized in a way that + allows for approximate nearest neighbor + (a.k.a ANN) algorithms search. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_service.GetIndexRequest): + request = index_service.GetIndexRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_index + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_indexes( + self, + request: Optional[Union[index_service.ListIndexesRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListIndexesAsyncPager: + r"""Lists Indexes in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_indexes(): + # Create a client + client = aiplatform_v1.IndexServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListIndexesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_indexes(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListIndexesRequest, dict]]): + The request object. Request message for + [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes]. + parent (:class:`str`): + Required. The resource name of the Location from which + to list the Indexes. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.index_service.pagers.ListIndexesAsyncPager: + Response message for + [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_service.ListIndexesRequest): + request = index_service.ListIndexesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_indexes + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListIndexesAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def update_index( + self, + request: Optional[Union[index_service.UpdateIndexRequest, dict]] = None, + *, + index: Optional[gca_index.Index] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Updates an Index. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_update_index(): + # Create a client + client = aiplatform_v1.IndexServiceAsyncClient() + + # Initialize request argument(s) + index = aiplatform_v1.Index() + index.display_name = "display_name_value" + + request = aiplatform_v1.UpdateIndexRequest( + index=index, + ) + + # Make the request + operation = client.update_index(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UpdateIndexRequest, dict]]): + The request object. Request message for + [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex]. + index (:class:`google.cloud.aiplatform_v1.types.Index`): + Required. The Index which updates the + resource on the server. + + This corresponds to the ``index`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + The update mask applies to the resource. For the + ``FieldMask`` definition, see + [google.protobuf.FieldMask][google.protobuf.FieldMask]. + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.Index` A representation of a collection of database items organized in a way that + allows for approximate nearest neighbor (a.k.a ANN) + algorithms search. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [index, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_service.UpdateIndexRequest): + request = index_service.UpdateIndexRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if index is not None: + request.index = index + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.update_index + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("index.name", request.index.name),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gca_index.Index, + metadata_type=index_service.UpdateIndexOperationMetadata, + ) + + # Done; return the response. + return response + + async def delete_index( + self, + request: Optional[Union[index_service.DeleteIndexRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes an Index. An Index can only be deleted when all its + [DeployedIndexes][google.cloud.aiplatform.v1.Index.deployed_indexes] + had been undeployed. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_index(): + # Create a client + client = aiplatform_v1.IndexServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteIndexRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_index(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteIndexRequest, dict]]): + The request object. Request message for + [IndexService.DeleteIndex][google.cloud.aiplatform.v1.IndexService.DeleteIndex]. + name (:class:`str`): + Required. The name of the Index resource to be deleted. + Format: + ``projects/{project}/locations/{location}/indexes/{index}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_service.DeleteIndexRequest): + request = index_service.DeleteIndexRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_index + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def upsert_datapoints( + self, + request: Optional[Union[index_service.UpsertDatapointsRequest, dict]] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> index_service.UpsertDatapointsResponse: + r"""Add/update Datapoints into an Index. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_upsert_datapoints(): + # Create a client + client = aiplatform_v1.IndexServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.UpsertDatapointsRequest( + index="index_value", + ) + + # Make the request + response = await client.upsert_datapoints(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UpsertDatapointsRequest, dict]]): + The request object. Request message for + [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints] + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.UpsertDatapointsResponse: + Response message for + [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints] + + """ + # Create or coerce a protobuf request object. + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_service.UpsertDatapointsRequest): + request = index_service.UpsertDatapointsRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.upsert_datapoints + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("index", request.index),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def remove_datapoints( + self, + request: Optional[Union[index_service.RemoveDatapointsRequest, dict]] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> index_service.RemoveDatapointsResponse: + r"""Remove Datapoints from an Index. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_remove_datapoints(): + # Create a client + client = aiplatform_v1.IndexServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.RemoveDatapointsRequest( + index="index_value", + ) + + # Make the request + response = await client.remove_datapoints(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.RemoveDatapointsRequest, dict]]): + The request object. Request message for + [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints] + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.RemoveDatapointsResponse: + Response message for + [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints] + + """ + # Create or coerce a protobuf request object. + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_service.RemoveDatapointsRequest): + request = index_service.RemoveDatapointsRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.remove_datapoints + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("index", request.index),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[ + self._client._transport.test_iam_permissions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self) -> "IndexServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +__all__ = ("IndexServiceAsyncClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/client.py new file mode 100644 index 0000000000000000000000000000000000000000..09b22de5d9b12729ebd502e48558590fe8f76256 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/client.py @@ -0,0 +1,2363 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from http import HTTPStatus +import json +import logging as std_logging +import os +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, + cast, +) +import warnings + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + +from google.cloud.aiplatform_v1.services.index_service import pagers +from google.cloud.aiplatform_v1.types import deployed_index_ref +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import index +from google.cloud.aiplatform_v1.types import index as gca_index +from google.cloud.aiplatform_v1.types import index_service +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.struct_pb2 as struct_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +from .transports.base import IndexServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import IndexServiceGrpcTransport +from .transports.grpc_asyncio import IndexServiceGrpcAsyncIOTransport +from .transports.rest import IndexServiceRestTransport + +try: + from .transports.rest_asyncio import AsyncIndexServiceRestTransport + + HAS_ASYNC_REST_DEPENDENCIES = True +except ImportError as e: # pragma: NO COVER + HAS_ASYNC_REST_DEPENDENCIES = False + ASYNC_REST_EXCEPTION = e + + +class IndexServiceClientMeta(type): + """Metaclass for the IndexService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + + _transport_registry = OrderedDict() # type: Dict[str, Type[IndexServiceTransport]] + _transport_registry["grpc"] = IndexServiceGrpcTransport + _transport_registry["grpc_asyncio"] = IndexServiceGrpcAsyncIOTransport + _transport_registry["rest"] = IndexServiceRestTransport + if HAS_ASYNC_REST_DEPENDENCIES: # pragma: NO COVER + _transport_registry["rest_asyncio"] = AsyncIndexServiceRestTransport + + def get_transport_class( + cls, + label: Optional[str] = None, + ) -> Type[IndexServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if ( + label == "rest_asyncio" and not HAS_ASYNC_REST_DEPENDENCIES + ): # pragma: NO COVER + raise ASYNC_REST_EXCEPTION + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class IndexServiceClient(metaclass=IndexServiceClientMeta): + """A service for creating and managing Vertex AI's Index + resources. + """ + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "aiplatform.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @staticmethod + def _use_client_cert_effective(): + """Returns whether client certificate should be used for mTLS if the + google-auth version supports should_use_client_cert automatic mTLS enablement. + + Alternatively, read from the GOOGLE_API_USE_CLIENT_CERTIFICATE env var. + + Returns: + bool: whether client certificate should be used for mTLS + Raises: + ValueError: (If using a version of google-auth without should_use_client_cert and + GOOGLE_API_USE_CLIENT_CERTIFICATE is set to an unexpected value.) + """ + # check if google-auth version supports should_use_client_cert for automatic mTLS enablement + if hasattr(mtls, "should_use_client_cert"): # pragma: NO COVER + return mtls.should_use_client_cert() + else: # pragma: NO COVER + # if unsupported, fallback to reading from env var + use_client_cert_str = os.getenv( + "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false" + ).lower() + if use_client_cert_str not in ("true", "false"): + raise ValueError( + "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be" + " either `true` or `false`" + ) + return use_client_cert_str == "true" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + IndexServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + IndexServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file(filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> IndexServiceTransport: + """Returns the transport used by the client instance. + + Returns: + IndexServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def index_path( + project: str, + location: str, + index: str, + ) -> str: + """Returns a fully-qualified index string.""" + return "projects/{project}/locations/{location}/indexes/{index}".format( + project=project, + location=location, + index=index, + ) + + @staticmethod + def parse_index_path(path: str) -> Dict[str, str]: + """Parses a index path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/indexes/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def index_endpoint_path( + project: str, + location: str, + index_endpoint: str, + ) -> str: + """Returns a fully-qualified index_endpoint string.""" + return "projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}".format( + project=project, + location=location, + index_endpoint=index_endpoint, + ) + + @staticmethod + def parse_index_endpoint_path(path: str) -> Dict[str, str]: + """Parses a index_endpoint path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/indexEndpoints/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path( + billing_account: str, + ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format( + billing_account=billing_account, + ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str, str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path( + folder: str, + ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format( + folder=folder, + ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str, str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path( + organization: str, + ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format( + organization=organization, + ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str, str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path( + project: str, + ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format( + project=project, + ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str, str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path( + project: str, + location: str, + ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format( + project=project, + location=location, + ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str, str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[client_options_lib.ClientOptions] = None + ): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn( + "get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning, + ) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = IndexServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert: + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = IndexServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + return use_client_cert, use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint( + api_override, client_cert_source, universe_domain, use_mtls_endpoint + ): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + _default_universe = IndexServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError( + f"mTLS is not supported in any universe other than {_default_universe}." + ) + api_endpoint = IndexServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = IndexServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format( + UNIVERSE_DOMAIN=universe_domain + ) + return api_endpoint + + @staticmethod + def _get_universe_domain( + client_universe_domain: Optional[str], universe_domain_env: Optional[str] + ) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = IndexServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + + # NOTE (b/349488459): universe validation is disabled until further notice. + return True + + def _add_cred_info_for_auth_errors( + self, error: core_exceptions.GoogleAPICallError + ) -> None: + """Adds credential info string to error details for 401/403/404 errors. + + Args: + error (google.api_core.exceptions.GoogleAPICallError): The error to add the cred info. + """ + if error.code not in [ + HTTPStatus.UNAUTHORIZED, + HTTPStatus.FORBIDDEN, + HTTPStatus.NOT_FOUND, + ]: + return + + cred = self._transport._credentials + + # get_cred_info is only available in google-auth>=2.35.0 + if not hasattr(cred, "get_cred_info"): + return + + # ignore the type check since pypy test fails when get_cred_info + # is not available + cred_info = cred.get_cred_info() # type: ignore + if cred_info and hasattr(error._details, "append"): + error._details.append(json.dumps(cred_info)) + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[str, IndexServiceTransport, Callable[..., IndexServiceTransport]] + ] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the index service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,IndexServiceTransport,Callable[..., IndexServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the IndexServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast( + client_options_lib.ClientOptions, self._client_options + ) + + universe_domain_opt = getattr(self._client_options, "universe_domain", None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = ( + IndexServiceClient._read_environment_variables() + ) + self._client_cert_source = IndexServiceClient._get_client_cert_source( + self._client_options.client_cert_source, self._use_client_cert + ) + self._universe_domain = IndexServiceClient._get_universe_domain( + universe_domain_opt, self._universe_domain_env + ) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + if CLIENT_LOGGING_SUPPORTED: # pragma: NO COVER + # Setup logging. + client_logging.initialize_logging() + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError( + "client_options.api_key and credentials are mutually exclusive" + ) + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance(transport, IndexServiceTransport) + if transport_provided: + # transport is a IndexServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError( + "When providing a transport instance, " + "provide its credentials directly." + ) + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(IndexServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = self._api_endpoint or IndexServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint, + ) + + if not transport_provided: + transport_init: Union[ + Type[IndexServiceTransport], Callable[..., IndexServiceTransport] + ] = ( + IndexServiceClient.get_transport_class(transport) + if isinstance(transport, str) or transport is None + else cast(Callable[..., IndexServiceTransport], transport) + ) + + if "rest_asyncio" in str(transport_init): + unsupported_params = { + "google.api_core.client_options.ClientOptions.credentials_file": self._client_options.credentials_file, + "google.api_core.client_options.ClientOptions.scopes": self._client_options.scopes, + "google.api_core.client_options.ClientOptions.quota_project_id": self._client_options.quota_project_id, + "google.api_core.client_options.ClientOptions.client_cert_source": self._client_options.client_cert_source, + "google.api_core.client_options.ClientOptions.api_audience": self._client_options.api_audience, + } + provided_unsupported_params = [ + name + for name, value in unsupported_params.items() + if value is not None + ] + if provided_unsupported_params: + raise core_exceptions.AsyncRestUnsupportedParameterError( # type: ignore + f"The following provided parameters are not supported for `transport=rest_asyncio`: {', '.join(provided_unsupported_params)}" + ) + self._transport = transport_init( + credentials=credentials, + host=self._api_endpoint, + client_info=client_info, + ) + return + + import google.auth._default # type: ignore + + if api_key_value and hasattr( + google.auth._default, "get_api_key_credentials" + ): + credentials = google.auth._default.get_api_key_credentials( + api_key_value + ) + + # initialize with the provided callable or the passed in class + self._transport = transport_init( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + if "async" not in str(self._transport): + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.IndexServiceClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "universeDomain": getattr( + self._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._transport._credentials).__module__}.{type(self._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, + "get_cred_info", + lambda: None, + )(), + } + if hasattr(self._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "credentialsType": None, + } + ), + ) + + def create_index( + self, + request: Optional[Union[index_service.CreateIndexRequest, dict]] = None, + *, + parent: Optional[str] = None, + index: Optional[gca_index.Index] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Creates an Index. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_index(): + # Create a client + client = aiplatform_v1.IndexServiceClient() + + # Initialize request argument(s) + index = aiplatform_v1.Index() + index.display_name = "display_name_value" + + request = aiplatform_v1.CreateIndexRequest( + parent="parent_value", + index=index, + ) + + # Make the request + operation = client.create_index(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateIndexRequest, dict]): + The request object. Request message for + [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex]. + parent (str): + Required. The resource name of the Location to create + the Index in. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + index (google.cloud.aiplatform_v1.types.Index): + Required. The Index to create. + This corresponds to the ``index`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.Index` A representation of a collection of database items organized in a way that + allows for approximate nearest neighbor (a.k.a ANN) + algorithms search. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, index] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_service.CreateIndexRequest): + request = index_service.CreateIndexRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if index is not None: + request.index = index + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_index] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + gca_index.Index, + metadata_type=index_service.CreateIndexOperationMetadata, + ) + + # Done; return the response. + return response + + def get_index( + self, + request: Optional[Union[index_service.GetIndexRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> index.Index: + r"""Gets an Index. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_index(): + # Create a client + client = aiplatform_v1.IndexServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetIndexRequest( + name="name_value", + ) + + # Make the request + response = client.get_index(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetIndexRequest, dict]): + The request object. Request message for + [IndexService.GetIndex][google.cloud.aiplatform.v1.IndexService.GetIndex] + name (str): + Required. The name of the Index resource. Format: + ``projects/{project}/locations/{location}/indexes/{index}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Index: + A representation of a collection of + database items organized in a way that + allows for approximate nearest neighbor + (a.k.a ANN) algorithms search. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_service.GetIndexRequest): + request = index_service.GetIndexRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_index] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_indexes( + self, + request: Optional[Union[index_service.ListIndexesRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListIndexesPager: + r"""Lists Indexes in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_indexes(): + # Create a client + client = aiplatform_v1.IndexServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListIndexesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_indexes(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListIndexesRequest, dict]): + The request object. Request message for + [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes]. + parent (str): + Required. The resource name of the Location from which + to list the Indexes. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.index_service.pagers.ListIndexesPager: + Response message for + [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_service.ListIndexesRequest): + request = index_service.ListIndexesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_indexes] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListIndexesPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def update_index( + self, + request: Optional[Union[index_service.UpdateIndexRequest, dict]] = None, + *, + index: Optional[gca_index.Index] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Updates an Index. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_update_index(): + # Create a client + client = aiplatform_v1.IndexServiceClient() + + # Initialize request argument(s) + index = aiplatform_v1.Index() + index.display_name = "display_name_value" + + request = aiplatform_v1.UpdateIndexRequest( + index=index, + ) + + # Make the request + operation = client.update_index(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UpdateIndexRequest, dict]): + The request object. Request message for + [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex]. + index (google.cloud.aiplatform_v1.types.Index): + Required. The Index which updates the + resource on the server. + + This corresponds to the ``index`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + The update mask applies to the resource. For the + ``FieldMask`` definition, see + [google.protobuf.FieldMask][google.protobuf.FieldMask]. + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.Index` A representation of a collection of database items organized in a way that + allows for approximate nearest neighbor (a.k.a ANN) + algorithms search. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [index, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_service.UpdateIndexRequest): + request = index_service.UpdateIndexRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if index is not None: + request.index = index + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.update_index] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("index.name", request.index.name),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + gca_index.Index, + metadata_type=index_service.UpdateIndexOperationMetadata, + ) + + # Done; return the response. + return response + + def delete_index( + self, + request: Optional[Union[index_service.DeleteIndexRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes an Index. An Index can only be deleted when all its + [DeployedIndexes][google.cloud.aiplatform.v1.Index.deployed_indexes] + had been undeployed. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_index(): + # Create a client + client = aiplatform_v1.IndexServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteIndexRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_index(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteIndexRequest, dict]): + The request object. Request message for + [IndexService.DeleteIndex][google.cloud.aiplatform.v1.IndexService.DeleteIndex]. + name (str): + Required. The name of the Index resource to be deleted. + Format: + ``projects/{project}/locations/{location}/indexes/{index}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_service.DeleteIndexRequest): + request = index_service.DeleteIndexRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_index] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def upsert_datapoints( + self, + request: Optional[Union[index_service.UpsertDatapointsRequest, dict]] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> index_service.UpsertDatapointsResponse: + r"""Add/update Datapoints into an Index. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_upsert_datapoints(): + # Create a client + client = aiplatform_v1.IndexServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.UpsertDatapointsRequest( + index="index_value", + ) + + # Make the request + response = client.upsert_datapoints(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UpsertDatapointsRequest, dict]): + The request object. Request message for + [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints] + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.UpsertDatapointsResponse: + Response message for + [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints] + + """ + # Create or coerce a protobuf request object. + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_service.UpsertDatapointsRequest): + request = index_service.UpsertDatapointsRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.upsert_datapoints] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("index", request.index),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def remove_datapoints( + self, + request: Optional[Union[index_service.RemoveDatapointsRequest, dict]] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> index_service.RemoveDatapointsResponse: + r"""Remove Datapoints from an Index. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_remove_datapoints(): + # Create a client + client = aiplatform_v1.IndexServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.RemoveDatapointsRequest( + index="index_value", + ) + + # Make the request + response = client.remove_datapoints(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.RemoveDatapointsRequest, dict]): + The request object. Request message for + [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints] + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.RemoveDatapointsResponse: + Response message for + [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints] + + """ + # Create or coerce a protobuf request object. + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, index_service.RemoveDatapointsRequest): + request = index_service.RemoveDatapointsRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.remove_datapoints] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("index", request.index),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def __enter__(self) -> "IndexServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + +__all__ = ("IndexServiceClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/pagers.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/pagers.py new file mode 100644 index 0000000000000000000000000000000000000000..34df5adebe1243227451f2e45fa1515bedff96ff --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/pagers.py @@ -0,0 +1,197 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import retry_async as retries_async +from typing import ( + Any, + AsyncIterator, + Awaitable, + Callable, + Sequence, + Tuple, + Optional, + Iterator, + Union, +) + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] + OptionalAsyncRetry = Union[ + retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None + ] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.types import index +from google.cloud.aiplatform_v1.types import index_service + + +class ListIndexesPager: + """A pager for iterating through ``list_indexes`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListIndexesResponse` object, and + provides an ``__iter__`` method to iterate through its + ``indexes`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListIndexes`` requests and continue to iterate + through the ``indexes`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListIndexesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., index_service.ListIndexesResponse], + request: index_service.ListIndexesRequest, + response: index_service.ListIndexesResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListIndexesRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListIndexesResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = index_service.ListIndexesRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[index_service.ListIndexesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[index.Index]: + for page in self.pages: + yield from page.indexes + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListIndexesAsyncPager: + """A pager for iterating through ``list_indexes`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListIndexesResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``indexes`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListIndexes`` requests and continue to iterate + through the ``indexes`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListIndexesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[index_service.ListIndexesResponse]], + request: index_service.ListIndexesRequest, + response: index_service.ListIndexesResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListIndexesRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListIndexesResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = index_service.ListIndexesRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[index_service.ListIndexesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[index.Index]: + async def async_generator(): + async for page in self.pages: + for response in page.indexes: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/transports/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/transports/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..7e67aeafd7772f9217d6f0e278de934d48239e51 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/transports/__init__.py @@ -0,0 +1,54 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from typing import Dict, Type, Tuple + +from .base import IndexServiceTransport +from .grpc import IndexServiceGrpcTransport +from .grpc_asyncio import IndexServiceGrpcAsyncIOTransport +from .rest import IndexServiceRestTransport +from .rest import IndexServiceRestInterceptor + +ASYNC_REST_CLASSES: Tuple[str, ...] +try: + from .rest_asyncio import AsyncIndexServiceRestTransport + from .rest_asyncio import AsyncIndexServiceRestInterceptor + + ASYNC_REST_CLASSES = ( + "AsyncIndexServiceRestTransport", + "AsyncIndexServiceRestInterceptor", + ) + HAS_REST_ASYNC = True +except ImportError: # pragma: NO COVER + ASYNC_REST_CLASSES = () + HAS_REST_ASYNC = False + + +# Compile a registry of transports. +_transport_registry = OrderedDict() # type: Dict[str, Type[IndexServiceTransport]] +_transport_registry["grpc"] = IndexServiceGrpcTransport +_transport_registry["grpc_asyncio"] = IndexServiceGrpcAsyncIOTransport +_transport_registry["rest"] = IndexServiceRestTransport +if HAS_REST_ASYNC: # pragma: NO COVER + _transport_registry["rest_asyncio"] = AsyncIndexServiceRestTransport + +__all__ = ( + "IndexServiceTransport", + "IndexServiceGrpcTransport", + "IndexServiceGrpcAsyncIOTransport", + "IndexServiceRestTransport", + "IndexServiceRestInterceptor", +) + ASYNC_REST_CLASSES diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/transports/__pycache__/__init__.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/transports/__pycache__/__init__.cpython-311.pyc new file mode 100644 index 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a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/transports/base.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/transports/base.py new file mode 100644 index 0000000000000000000000000000000000000000..5dd9cd7775d9f692efb6b46522232bc44fdcca40 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/transports/base.py @@ -0,0 +1,422 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import abc +from typing import Awaitable, Callable, Dict, Optional, Sequence, Union + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +import google.auth # type: ignore +import google.api_core +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import operations_v1 +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +from google.cloud.aiplatform_v1.types import index +from google.cloud.aiplatform_v1.types import index_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +class IndexServiceTransport(abc.ABC): + """Abstract transport class for IndexService.""" + + AUTH_SCOPES = ("https://www.googleapis.com/auth/cloud-platform",) + + DEFAULT_HOST: str = "aiplatform.googleapis.com" + + def __init__( + self, + *, + host: str = DEFAULT_HOST, + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + **kwargs, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. This argument will be + removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A list of scopes. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + """ + + # Save the scopes. + self._scopes = scopes + if not hasattr(self, "_ignore_credentials"): + self._ignore_credentials: bool = False + + # If no credentials are provided, then determine the appropriate + # defaults. + if credentials and credentials_file: + raise core_exceptions.DuplicateCredentialArgs( + "'credentials_file' and 'credentials' are mutually exclusive" + ) + + if credentials_file is not None: + credentials, _ = google.auth.load_credentials_from_file( + credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + default_scopes=self.AUTH_SCOPES, + ) + elif credentials is None and not self._ignore_credentials: + credentials, _ = google.auth.default( + scopes=scopes, + quota_project_id=quota_project_id, + default_scopes=self.AUTH_SCOPES, + ) + # Don't apply audience if the credentials file passed from user. + if hasattr(credentials, "with_gdch_audience"): + credentials = credentials.with_gdch_audience( + api_audience if api_audience else host + ) + + # If the credentials are service account credentials, then always try to use self signed JWT. + if ( + always_use_jwt_access + and isinstance(credentials, service_account.Credentials) + and hasattr(service_account.Credentials, "with_always_use_jwt_access") + ): + credentials = credentials.with_always_use_jwt_access(True) + + # Save the credentials. + self._credentials = credentials + + # Save the hostname. Default to port 443 (HTTPS) if none is specified. + if ":" not in host: + host += ":443" + self._host = host + + @property + def host(self): + return self._host + + def _prep_wrapped_messages(self, client_info): + # Precompute the wrapped methods. + self._wrapped_methods = { + self.create_index: gapic_v1.method.wrap_method( + self.create_index, + default_timeout=None, + client_info=client_info, + ), + self.get_index: gapic_v1.method.wrap_method( + self.get_index, + default_timeout=None, + client_info=client_info, + ), + self.list_indexes: gapic_v1.method.wrap_method( + self.list_indexes, + default_timeout=None, + client_info=client_info, + ), + self.update_index: gapic_v1.method.wrap_method( + self.update_index, + default_timeout=None, + client_info=client_info, + ), + self.delete_index: gapic_v1.method.wrap_method( + self.delete_index, + default_timeout=None, + client_info=client_info, + ), + self.upsert_datapoints: gapic_v1.method.wrap_method( + self.upsert_datapoints, + default_timeout=None, + client_info=client_info, + ), + self.remove_datapoints: gapic_v1.method.wrap_method( + self.remove_datapoints, + default_timeout=None, + client_info=client_info, + ), + self.get_location: gapic_v1.method.wrap_method( + self.get_location, + default_timeout=None, + client_info=client_info, + ), + self.list_locations: gapic_v1.method.wrap_method( + self.list_locations, + default_timeout=None, + client_info=client_info, + ), + self.get_iam_policy: gapic_v1.method.wrap_method( + self.get_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.set_iam_policy: gapic_v1.method.wrap_method( + self.set_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.test_iam_permissions: gapic_v1.method.wrap_method( + self.test_iam_permissions, + default_timeout=None, + client_info=client_info, + ), + self.cancel_operation: gapic_v1.method.wrap_method( + self.cancel_operation, + default_timeout=None, + client_info=client_info, + ), + self.delete_operation: gapic_v1.method.wrap_method( + self.delete_operation, + default_timeout=None, + client_info=client_info, + ), + self.get_operation: gapic_v1.method.wrap_method( + self.get_operation, + default_timeout=None, + client_info=client_info, + ), + self.list_operations: gapic_v1.method.wrap_method( + self.list_operations, + default_timeout=None, + client_info=client_info, + ), + self.wait_operation: gapic_v1.method.wrap_method( + self.wait_operation, + default_timeout=None, + client_info=client_info, + ), + } + + def close(self): + """Closes resources associated with the transport. + + .. warning:: + Only call this method if the transport is NOT shared + with other clients - this may cause errors in other clients! + """ + raise NotImplementedError() + + @property + def operations_client(self): + """Return the client designed to process long-running operations.""" + raise NotImplementedError() + + @property + def create_index( + self, + ) -> Callable[ + [index_service.CreateIndexRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def get_index( + self, + ) -> Callable[ + [index_service.GetIndexRequest], Union[index.Index, Awaitable[index.Index]] + ]: + raise NotImplementedError() + + @property + def list_indexes( + self, + ) -> Callable[ + [index_service.ListIndexesRequest], + Union[ + index_service.ListIndexesResponse, + Awaitable[index_service.ListIndexesResponse], + ], + ]: + raise NotImplementedError() + + @property + def update_index( + self, + ) -> Callable[ + [index_service.UpdateIndexRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def delete_index( + self, + ) -> Callable[ + [index_service.DeleteIndexRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def upsert_datapoints( + self, + ) -> Callable[ + [index_service.UpsertDatapointsRequest], + Union[ + index_service.UpsertDatapointsResponse, + Awaitable[index_service.UpsertDatapointsResponse], + ], + ]: + raise NotImplementedError() + + @property + def remove_datapoints( + self, + ) -> Callable[ + [index_service.RemoveDatapointsRequest], + Union[ + index_service.RemoveDatapointsResponse, + Awaitable[index_service.RemoveDatapointsResponse], + ], + ]: + raise NotImplementedError() + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], + Union[ + operations_pb2.ListOperationsResponse, + Awaitable[operations_pb2.ListOperationsResponse], + ], + ]: + raise NotImplementedError() + + @property + def get_operation( + self, + ) -> Callable[ + [operations_pb2.GetOperationRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def cancel_operation( + self, + ) -> Callable[ + [operations_pb2.CancelOperationRequest], + None, + ]: + raise NotImplementedError() + + @property + def delete_operation( + self, + ) -> Callable[ + [operations_pb2.DeleteOperationRequest], + None, + ]: + raise NotImplementedError() + + @property + def wait_operation( + self, + ) -> Callable[ + [operations_pb2.WaitOperationRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def set_iam_policy( + self, + ) -> Callable[ + [iam_policy_pb2.SetIamPolicyRequest], + Union[policy_pb2.Policy, Awaitable[policy_pb2.Policy]], + ]: + raise NotImplementedError() + + @property + def get_iam_policy( + self, + ) -> Callable[ + [iam_policy_pb2.GetIamPolicyRequest], + Union[policy_pb2.Policy, Awaitable[policy_pb2.Policy]], + ]: + raise NotImplementedError() + + @property + def test_iam_permissions( + self, + ) -> Callable[ + [iam_policy_pb2.TestIamPermissionsRequest], + Union[ + iam_policy_pb2.TestIamPermissionsResponse, + Awaitable[iam_policy_pb2.TestIamPermissionsResponse], + ], + ]: + raise NotImplementedError() + + @property + def get_location( + self, + ) -> Callable[ + [locations_pb2.GetLocationRequest], + Union[locations_pb2.Location, Awaitable[locations_pb2.Location]], + ]: + raise NotImplementedError() + + @property + def list_locations( + self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], + Union[ + locations_pb2.ListLocationsResponse, + Awaitable[locations_pb2.ListLocationsResponse], + ], + ]: + raise NotImplementedError() + + @property + def kind(self) -> str: + raise NotImplementedError() + + +__all__ = ("IndexServiceTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/transports/grpc.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/transports/grpc.py new file mode 100644 index 0000000000000000000000000000000000000000..5aa1afb6c71ec80cd64846cedd6397701e0ee587 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/transports/grpc.py @@ -0,0 +1,748 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import json +import logging as std_logging +import pickle +import warnings +from typing import Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import grpc_helpers +from google.api_core import operations_v1 +from google.api_core import gapic_v1 +import google.auth # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.protobuf.json_format import MessageToJson +import google.protobuf.message + +import grpc # type: ignore +import proto # type: ignore + +from google.cloud.aiplatform_v1.types import index +from google.cloud.aiplatform_v1.types import index_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .base import IndexServiceTransport, DEFAULT_CLIENT_INFO + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class _LoggingClientInterceptor(grpc.UnaryUnaryClientInterceptor): # pragma: NO COVER + def intercept_unary_unary(self, continuation, client_call_details, request): + logging_enabled = CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ) + if logging_enabled: # pragma: NO COVER + request_metadata = client_call_details.metadata + if isinstance(request, proto.Message): + request_payload = type(request).to_json(request) + elif isinstance(request, google.protobuf.message.Message): + request_payload = MessageToJson(request) + else: + request_payload = f"{type(request).__name__}: {pickle.dumps(request)}" + + request_metadata = { + key: value.decode("utf-8") if isinstance(value, bytes) else value + for key, value in request_metadata + } + grpc_request = { + "payload": request_payload, + "requestMethod": "grpc", + "metadata": dict(request_metadata), + } + _LOGGER.debug( + f"Sending request for {client_call_details.method}", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": str(client_call_details.method), + "request": grpc_request, + "metadata": grpc_request["metadata"], + }, + ) + response = continuation(client_call_details, request) + if logging_enabled: # pragma: NO COVER + response_metadata = response.trailing_metadata() + # Convert gRPC metadata `` to list of tuples + metadata = ( + dict([(k, str(v)) for k, v in response_metadata]) + if response_metadata + else None + ) + result = response.result() + if isinstance(result, proto.Message): + response_payload = type(result).to_json(result) + elif isinstance(result, google.protobuf.message.Message): + response_payload = MessageToJson(result) + else: + response_payload = f"{type(result).__name__}: {pickle.dumps(result)}" + grpc_response = { + "payload": response_payload, + "metadata": metadata, + "status": "OK", + } + _LOGGER.debug( + f"Received response for {client_call_details.method}.", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": client_call_details.method, + "response": grpc_response, + "metadata": grpc_response["metadata"], + }, + ) + return response + + +class IndexServiceGrpcTransport(IndexServiceTransport): + """gRPC backend transport for IndexService. + + A service for creating and managing Vertex AI's Index + resources. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + + _stubs: Dict[str, Callable] + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]] = None, + api_mtls_endpoint: Optional[str] = None, + client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if a ``channel`` instance is provided. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if a ``channel`` instance is provided. + This argument will be removed in the next major version of this library. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if a ``channel`` instance is provided. + channel (Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]]): + A ``Channel`` instance through which to make calls, or a Callable + that constructs and returns one. If set to None, ``self.create_channel`` + is used to create the channel. If a Callable is given, it will be called + with the same arguments as used in ``self.create_channel``. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if a ``channel`` instance is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + self._operations_client: Optional[operations_v1.OperationsClient] = None + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if isinstance(channel, grpc.Channel): + # Ignore credentials if a channel was passed. + credentials = None + self._ignore_credentials = True + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + # initialize with the provided callable or the default channel + channel_init = channel or type(self).create_channel + self._grpc_channel = channel_init( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + self._interceptor = _LoggingClientInterceptor() + self._logged_channel = grpc.intercept_channel( + self._grpc_channel, self._interceptor + ) + + # Wrap messages. This must be done after self._logged_channel exists + self._prep_wrapped_messages(client_info) + + @classmethod + def create_channel( + cls, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs, + ) -> grpc.Channel: + """Create and return a gRPC channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. This argument will be + removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + grpc.Channel: A gRPC channel object. + + Raises: + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + + return grpc_helpers.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs, + ) + + @property + def grpc_channel(self) -> grpc.Channel: + """Return the channel designed to connect to this service.""" + return self._grpc_channel + + @property + def operations_client(self) -> operations_v1.OperationsClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Quick check: Only create a new client if we do not already have one. + if self._operations_client is None: + self._operations_client = operations_v1.OperationsClient( + self._logged_channel + ) + + # Return the client from cache. + return self._operations_client + + @property + def create_index( + self, + ) -> Callable[[index_service.CreateIndexRequest], operations_pb2.Operation]: + r"""Return a callable for the create index method over gRPC. + + Creates an Index. + + Returns: + Callable[[~.CreateIndexRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "create_index" not in self._stubs: + self._stubs["create_index"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.IndexService/CreateIndex", + request_serializer=index_service.CreateIndexRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["create_index"] + + @property + def get_index(self) -> Callable[[index_service.GetIndexRequest], index.Index]: + r"""Return a callable for the get index method over gRPC. + + Gets an Index. + + Returns: + Callable[[~.GetIndexRequest], + ~.Index]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_index" not in self._stubs: + self._stubs["get_index"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.IndexService/GetIndex", + request_serializer=index_service.GetIndexRequest.serialize, + response_deserializer=index.Index.deserialize, + ) + return self._stubs["get_index"] + + @property + def list_indexes( + self, + ) -> Callable[ + [index_service.ListIndexesRequest], index_service.ListIndexesResponse + ]: + r"""Return a callable for the list indexes method over gRPC. + + Lists Indexes in a Location. + + Returns: + Callable[[~.ListIndexesRequest], + ~.ListIndexesResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_indexes" not in self._stubs: + self._stubs["list_indexes"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.IndexService/ListIndexes", + request_serializer=index_service.ListIndexesRequest.serialize, + response_deserializer=index_service.ListIndexesResponse.deserialize, + ) + return self._stubs["list_indexes"] + + @property + def update_index( + self, + ) -> Callable[[index_service.UpdateIndexRequest], operations_pb2.Operation]: + r"""Return a callable for the update index method over gRPC. + + Updates an Index. + + Returns: + Callable[[~.UpdateIndexRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "update_index" not in self._stubs: + self._stubs["update_index"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.IndexService/UpdateIndex", + request_serializer=index_service.UpdateIndexRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["update_index"] + + @property + def delete_index( + self, + ) -> Callable[[index_service.DeleteIndexRequest], operations_pb2.Operation]: + r"""Return a callable for the delete index method over gRPC. + + Deletes an Index. An Index can only be deleted when all its + [DeployedIndexes][google.cloud.aiplatform.v1.Index.deployed_indexes] + had been undeployed. + + Returns: + Callable[[~.DeleteIndexRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_index" not in self._stubs: + self._stubs["delete_index"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.IndexService/DeleteIndex", + request_serializer=index_service.DeleteIndexRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["delete_index"] + + @property + def upsert_datapoints( + self, + ) -> Callable[ + [index_service.UpsertDatapointsRequest], index_service.UpsertDatapointsResponse + ]: + r"""Return a callable for the upsert datapoints method over gRPC. + + Add/update Datapoints into an Index. + + Returns: + Callable[[~.UpsertDatapointsRequest], + ~.UpsertDatapointsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "upsert_datapoints" not in self._stubs: + self._stubs["upsert_datapoints"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.IndexService/UpsertDatapoints", + request_serializer=index_service.UpsertDatapointsRequest.serialize, + response_deserializer=index_service.UpsertDatapointsResponse.deserialize, + ) + return self._stubs["upsert_datapoints"] + + @property + def remove_datapoints( + self, + ) -> Callable[ + [index_service.RemoveDatapointsRequest], index_service.RemoveDatapointsResponse + ]: + r"""Return a callable for the remove datapoints method over gRPC. + + Remove Datapoints from an Index. + + Returns: + Callable[[~.RemoveDatapointsRequest], + ~.RemoveDatapointsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "remove_datapoints" not in self._stubs: + self._stubs["remove_datapoints"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.IndexService/RemoveDatapoints", + request_serializer=index_service.RemoveDatapointsRequest.serialize, + response_deserializer=index_service.RemoveDatapointsResponse.deserialize, + ) + return self._stubs["remove_datapoints"] + + def close(self): + self._logged_channel.close() + + @property + def delete_operation( + self, + ) -> Callable[[operations_pb2.DeleteOperationRequest], None]: + r"""Return a callable for the delete_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_operation" not in self._stubs: + self._stubs["delete_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/DeleteOperation", + request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["delete_operation"] + + @property + def cancel_operation( + self, + ) -> Callable[[operations_pb2.CancelOperationRequest], None]: + r"""Return a callable for the cancel_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "cancel_operation" not in self._stubs: + self._stubs["cancel_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/CancelOperation", + request_serializer=operations_pb2.CancelOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["cancel_operation"] + + @property + def wait_operation( + self, + ) -> Callable[[operations_pb2.WaitOperationRequest], None]: + r"""Return a callable for the wait_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "wait_operation" not in self._stubs: + self._stubs["wait_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/WaitOperation", + request_serializer=operations_pb2.WaitOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["wait_operation"] + + @property + def get_operation( + self, + ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]: + r"""Return a callable for the get_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_operation" not in self._stubs: + self._stubs["get_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/GetOperation", + request_serializer=operations_pb2.GetOperationRequest.SerializeToString, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["get_operation"] + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse + ]: + r"""Return a callable for the list_operations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_operations" not in self._stubs: + self._stubs["list_operations"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/ListOperations", + request_serializer=operations_pb2.ListOperationsRequest.SerializeToString, + response_deserializer=operations_pb2.ListOperationsResponse.FromString, + ) + return self._stubs["list_operations"] + + @property + def list_locations( + self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse + ]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_locations" not in self._stubs: + self._stubs["list_locations"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/ListLocations", + request_serializer=locations_pb2.ListLocationsRequest.SerializeToString, + response_deserializer=locations_pb2.ListLocationsResponse.FromString, + ) + return self._stubs["list_locations"] + + @property + def get_location( + self, + ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_location" not in self._stubs: + self._stubs["get_location"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/GetLocation", + request_serializer=locations_pb2.GetLocationRequest.SerializeToString, + response_deserializer=locations_pb2.Location.FromString, + ) + return self._stubs["get_location"] + + @property + def set_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.SetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the set iam policy method over gRPC. + Sets the IAM access control policy on the specified + function. Replaces any existing policy. + Returns: + Callable[[~.SetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "set_iam_policy" not in self._stubs: + self._stubs["set_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/SetIamPolicy", + request_serializer=iam_policy_pb2.SetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["set_iam_policy"] + + @property + def get_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.GetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the get iam policy method over gRPC. + Gets the IAM access control policy for a function. + Returns an empty policy if the function exists and does + not have a policy set. + Returns: + Callable[[~.GetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_iam_policy" not in self._stubs: + self._stubs["get_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/GetIamPolicy", + request_serializer=iam_policy_pb2.GetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["get_iam_policy"] + + @property + def test_iam_permissions( + self, + ) -> Callable[ + [iam_policy_pb2.TestIamPermissionsRequest], + iam_policy_pb2.TestIamPermissionsResponse, + ]: + r"""Return a callable for the test iam permissions method over gRPC. + Tests the specified permissions against the IAM access control + policy for a function. If the function does not exist, this will + return an empty set of permissions, not a NOT_FOUND error. + Returns: + Callable[[~.TestIamPermissionsRequest], + ~.TestIamPermissionsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "test_iam_permissions" not in self._stubs: + self._stubs["test_iam_permissions"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/TestIamPermissions", + request_serializer=iam_policy_pb2.TestIamPermissionsRequest.SerializeToString, + response_deserializer=iam_policy_pb2.TestIamPermissionsResponse.FromString, + ) + return self._stubs["test_iam_permissions"] + + @property + def kind(self) -> str: + return "grpc" + + +__all__ = ("IndexServiceGrpcTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/transports/grpc_asyncio.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/transports/grpc_asyncio.py new file mode 100644 index 0000000000000000000000000000000000000000..bb6419019e02fbd228726d4fc57a976c08084699 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/transports/grpc_asyncio.py @@ -0,0 +1,861 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import inspect +import json +import pickle +import logging as std_logging +import warnings +from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import gapic_v1 +from google.api_core import grpc_helpers_async +from google.api_core import exceptions as core_exceptions +from google.api_core import retry_async as retries +from google.api_core import operations_v1 +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.protobuf.json_format import MessageToJson +import google.protobuf.message + +import grpc # type: ignore +import proto # type: ignore +from grpc.experimental import aio # type: ignore + +from google.cloud.aiplatform_v1.types import index +from google.cloud.aiplatform_v1.types import index_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .base import IndexServiceTransport, DEFAULT_CLIENT_INFO +from .grpc import IndexServiceGrpcTransport + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class _LoggingClientAIOInterceptor( + grpc.aio.UnaryUnaryClientInterceptor +): # pragma: NO COVER + async def intercept_unary_unary(self, continuation, client_call_details, request): + logging_enabled = CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ) + if logging_enabled: # pragma: NO COVER + request_metadata = client_call_details.metadata + if isinstance(request, proto.Message): + request_payload = type(request).to_json(request) + elif isinstance(request, google.protobuf.message.Message): + request_payload = MessageToJson(request) + else: + request_payload = f"{type(request).__name__}: {pickle.dumps(request)}" + + request_metadata = { + key: value.decode("utf-8") if isinstance(value, bytes) else value + for key, value in request_metadata + } + grpc_request = { + "payload": request_payload, + "requestMethod": "grpc", + "metadata": dict(request_metadata), + } + _LOGGER.debug( + f"Sending request for {client_call_details.method}", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": str(client_call_details.method), + "request": grpc_request, + "metadata": grpc_request["metadata"], + }, + ) + response = await continuation(client_call_details, request) + if logging_enabled: # pragma: NO COVER + response_metadata = await response.trailing_metadata() + # Convert gRPC metadata `` to list of tuples + metadata = ( + dict([(k, str(v)) for k, v in response_metadata]) + if response_metadata + else None + ) + result = await response + if isinstance(result, proto.Message): + response_payload = type(result).to_json(result) + elif isinstance(result, google.protobuf.message.Message): + response_payload = MessageToJson(result) + else: + response_payload = f"{type(result).__name__}: {pickle.dumps(result)}" + grpc_response = { + "payload": response_payload, + "metadata": metadata, + "status": "OK", + } + _LOGGER.debug( + f"Received response to rpc {client_call_details.method}.", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": str(client_call_details.method), + "response": grpc_response, + "metadata": grpc_response["metadata"], + }, + ) + return response + + +class IndexServiceGrpcAsyncIOTransport(IndexServiceTransport): + """gRPC AsyncIO backend transport for IndexService. + + A service for creating and managing Vertex AI's Index + resources. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + + _grpc_channel: aio.Channel + _stubs: Dict[str, Callable] = {} + + @classmethod + def create_channel( + cls, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs, + ) -> aio.Channel: + """Create and return a gRPC AsyncIO channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. This argument will be + removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + aio.Channel: A gRPC AsyncIO channel object. + """ + + return grpc_helpers_async.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs, + ) + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: Optional[Union[aio.Channel, Callable[..., aio.Channel]]] = None, + api_mtls_endpoint: Optional[str] = None, + client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if a ``channel`` instance is provided. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if a ``channel`` instance is provided. + This argument will be removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + channel (Optional[Union[aio.Channel, Callable[..., aio.Channel]]]): + A ``Channel`` instance through which to make calls, or a Callable + that constructs and returns one. If set to None, ``self.create_channel`` + is used to create the channel. If a Callable is given, it will be called + with the same arguments as used in ``self.create_channel``. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if a ``channel`` instance is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if isinstance(channel, aio.Channel): + # Ignore credentials if a channel was passed. + credentials = None + self._ignore_credentials = True + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + # initialize with the provided callable or the default channel + channel_init = channel or type(self).create_channel + self._grpc_channel = channel_init( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + self._interceptor = _LoggingClientAIOInterceptor() + self._grpc_channel._unary_unary_interceptors.append(self._interceptor) + self._logged_channel = self._grpc_channel + self._wrap_with_kind = ( + "kind" in inspect.signature(gapic_v1.method_async.wrap_method).parameters + ) + # Wrap messages. This must be done after self._logged_channel exists + self._prep_wrapped_messages(client_info) + + @property + def grpc_channel(self) -> aio.Channel: + """Create the channel designed to connect to this service. + + This property caches on the instance; repeated calls return + the same channel. + """ + # Return the channel from cache. + return self._grpc_channel + + @property + def operations_client(self) -> operations_v1.OperationsAsyncClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Quick check: Only create a new client if we do not already have one. + if self._operations_client is None: + self._operations_client = operations_v1.OperationsAsyncClient( + self._logged_channel + ) + + # Return the client from cache. + return self._operations_client + + @property + def create_index( + self, + ) -> Callable[ + [index_service.CreateIndexRequest], Awaitable[operations_pb2.Operation] + ]: + r"""Return a callable for the create index method over gRPC. + + Creates an Index. + + Returns: + Callable[[~.CreateIndexRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "create_index" not in self._stubs: + self._stubs["create_index"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.IndexService/CreateIndex", + request_serializer=index_service.CreateIndexRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["create_index"] + + @property + def get_index( + self, + ) -> Callable[[index_service.GetIndexRequest], Awaitable[index.Index]]: + r"""Return a callable for the get index method over gRPC. + + Gets an Index. + + Returns: + Callable[[~.GetIndexRequest], + Awaitable[~.Index]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_index" not in self._stubs: + self._stubs["get_index"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.IndexService/GetIndex", + request_serializer=index_service.GetIndexRequest.serialize, + response_deserializer=index.Index.deserialize, + ) + return self._stubs["get_index"] + + @property + def list_indexes( + self, + ) -> Callable[ + [index_service.ListIndexesRequest], Awaitable[index_service.ListIndexesResponse] + ]: + r"""Return a callable for the list indexes method over gRPC. + + Lists Indexes in a Location. + + Returns: + Callable[[~.ListIndexesRequest], + Awaitable[~.ListIndexesResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_indexes" not in self._stubs: + self._stubs["list_indexes"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.IndexService/ListIndexes", + request_serializer=index_service.ListIndexesRequest.serialize, + response_deserializer=index_service.ListIndexesResponse.deserialize, + ) + return self._stubs["list_indexes"] + + @property + def update_index( + self, + ) -> Callable[ + [index_service.UpdateIndexRequest], Awaitable[operations_pb2.Operation] + ]: + r"""Return a callable for the update index method over gRPC. + + Updates an Index. + + Returns: + Callable[[~.UpdateIndexRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "update_index" not in self._stubs: + self._stubs["update_index"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.IndexService/UpdateIndex", + request_serializer=index_service.UpdateIndexRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["update_index"] + + @property + def delete_index( + self, + ) -> Callable[ + [index_service.DeleteIndexRequest], Awaitable[operations_pb2.Operation] + ]: + r"""Return a callable for the delete index method over gRPC. + + Deletes an Index. An Index can only be deleted when all its + [DeployedIndexes][google.cloud.aiplatform.v1.Index.deployed_indexes] + had been undeployed. + + Returns: + Callable[[~.DeleteIndexRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_index" not in self._stubs: + self._stubs["delete_index"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.IndexService/DeleteIndex", + request_serializer=index_service.DeleteIndexRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["delete_index"] + + @property + def upsert_datapoints( + self, + ) -> Callable[ + [index_service.UpsertDatapointsRequest], + Awaitable[index_service.UpsertDatapointsResponse], + ]: + r"""Return a callable for the upsert datapoints method over gRPC. + + Add/update Datapoints into an Index. + + Returns: + Callable[[~.UpsertDatapointsRequest], + Awaitable[~.UpsertDatapointsResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "upsert_datapoints" not in self._stubs: + self._stubs["upsert_datapoints"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.IndexService/UpsertDatapoints", + request_serializer=index_service.UpsertDatapointsRequest.serialize, + response_deserializer=index_service.UpsertDatapointsResponse.deserialize, + ) + return self._stubs["upsert_datapoints"] + + @property + def remove_datapoints( + self, + ) -> Callable[ + [index_service.RemoveDatapointsRequest], + Awaitable[index_service.RemoveDatapointsResponse], + ]: + r"""Return a callable for the remove datapoints method over gRPC. + + Remove Datapoints from an Index. + + Returns: + Callable[[~.RemoveDatapointsRequest], + Awaitable[~.RemoveDatapointsResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "remove_datapoints" not in self._stubs: + self._stubs["remove_datapoints"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.IndexService/RemoveDatapoints", + request_serializer=index_service.RemoveDatapointsRequest.serialize, + response_deserializer=index_service.RemoveDatapointsResponse.deserialize, + ) + return self._stubs["remove_datapoints"] + + def _prep_wrapped_messages(self, client_info): + """Precompute the wrapped methods, overriding the base class method to use async wrappers.""" + self._wrapped_methods = { + self.create_index: self._wrap_method( + self.create_index, + default_timeout=None, + client_info=client_info, + ), + self.get_index: self._wrap_method( + self.get_index, + default_timeout=None, + client_info=client_info, + ), + self.list_indexes: self._wrap_method( + self.list_indexes, + default_timeout=None, + client_info=client_info, + ), + self.update_index: self._wrap_method( + self.update_index, + default_timeout=None, + client_info=client_info, + ), + self.delete_index: self._wrap_method( + self.delete_index, + default_timeout=None, + client_info=client_info, + ), + self.upsert_datapoints: self._wrap_method( + self.upsert_datapoints, + default_timeout=None, + client_info=client_info, + ), + self.remove_datapoints: self._wrap_method( + self.remove_datapoints, + default_timeout=None, + client_info=client_info, + ), + self.get_location: self._wrap_method( + self.get_location, + default_timeout=None, + client_info=client_info, + ), + self.list_locations: self._wrap_method( + self.list_locations, + default_timeout=None, + client_info=client_info, + ), + self.get_iam_policy: self._wrap_method( + self.get_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.set_iam_policy: self._wrap_method( + self.set_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.test_iam_permissions: self._wrap_method( + self.test_iam_permissions, + default_timeout=None, + client_info=client_info, + ), + self.cancel_operation: self._wrap_method( + self.cancel_operation, + default_timeout=None, + client_info=client_info, + ), + self.delete_operation: self._wrap_method( + self.delete_operation, + default_timeout=None, + client_info=client_info, + ), + self.get_operation: self._wrap_method( + self.get_operation, + default_timeout=None, + client_info=client_info, + ), + self.list_operations: self._wrap_method( + self.list_operations, + default_timeout=None, + client_info=client_info, + ), + self.wait_operation: self._wrap_method( + self.wait_operation, + default_timeout=None, + client_info=client_info, + ), + } + + def _wrap_method(self, func, *args, **kwargs): + if self._wrap_with_kind: # pragma: NO COVER + kwargs["kind"] = self.kind + return gapic_v1.method_async.wrap_method(func, *args, **kwargs) + + def close(self): + return self._logged_channel.close() + + @property + def kind(self) -> str: + return "grpc_asyncio" + + @property + def delete_operation( + self, + ) -> Callable[[operations_pb2.DeleteOperationRequest], None]: + r"""Return a callable for the delete_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_operation" not in self._stubs: + self._stubs["delete_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/DeleteOperation", + request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["delete_operation"] + + @property + def cancel_operation( + self, + ) -> Callable[[operations_pb2.CancelOperationRequest], None]: + r"""Return a callable for the cancel_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "cancel_operation" not in self._stubs: + self._stubs["cancel_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/CancelOperation", + request_serializer=operations_pb2.CancelOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["cancel_operation"] + + @property + def wait_operation( + self, + ) -> Callable[[operations_pb2.WaitOperationRequest], None]: + r"""Return a callable for the wait_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "wait_operation" not in self._stubs: + self._stubs["wait_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/WaitOperation", + request_serializer=operations_pb2.WaitOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["wait_operation"] + + @property + def get_operation( + self, + ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]: + r"""Return a callable for the get_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_operation" not in self._stubs: + self._stubs["get_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/GetOperation", + request_serializer=operations_pb2.GetOperationRequest.SerializeToString, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["get_operation"] + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse + ]: + r"""Return a callable for the list_operations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_operations" not in self._stubs: + self._stubs["list_operations"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/ListOperations", + request_serializer=operations_pb2.ListOperationsRequest.SerializeToString, + response_deserializer=operations_pb2.ListOperationsResponse.FromString, + ) + return self._stubs["list_operations"] + + @property + def list_locations( + self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse + ]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_locations" not in self._stubs: + self._stubs["list_locations"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/ListLocations", + request_serializer=locations_pb2.ListLocationsRequest.SerializeToString, + response_deserializer=locations_pb2.ListLocationsResponse.FromString, + ) + return self._stubs["list_locations"] + + @property + def get_location( + self, + ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_location" not in self._stubs: + self._stubs["get_location"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/GetLocation", + request_serializer=locations_pb2.GetLocationRequest.SerializeToString, + response_deserializer=locations_pb2.Location.FromString, + ) + return self._stubs["get_location"] + + @property + def set_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.SetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the set iam policy method over gRPC. + Sets the IAM access control policy on the specified + function. Replaces any existing policy. + Returns: + Callable[[~.SetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "set_iam_policy" not in self._stubs: + self._stubs["set_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/SetIamPolicy", + request_serializer=iam_policy_pb2.SetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["set_iam_policy"] + + @property + def get_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.GetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the get iam policy method over gRPC. + Gets the IAM access control policy for a function. + Returns an empty policy if the function exists and does + not have a policy set. + Returns: + Callable[[~.GetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_iam_policy" not in self._stubs: + self._stubs["get_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/GetIamPolicy", + request_serializer=iam_policy_pb2.GetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["get_iam_policy"] + + @property + def test_iam_permissions( + self, + ) -> Callable[ + [iam_policy_pb2.TestIamPermissionsRequest], + iam_policy_pb2.TestIamPermissionsResponse, + ]: + r"""Return a callable for the test iam permissions method over gRPC. + Tests the specified permissions against the IAM access control + policy for a function. If the function does not exist, this will + return an empty set of permissions, not a NOT_FOUND error. + Returns: + Callable[[~.TestIamPermissionsRequest], + ~.TestIamPermissionsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "test_iam_permissions" not in self._stubs: + self._stubs["test_iam_permissions"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/TestIamPermissions", + request_serializer=iam_policy_pb2.TestIamPermissionsRequest.SerializeToString, + response_deserializer=iam_policy_pb2.TestIamPermissionsResponse.FromString, + ) + return self._stubs["test_iam_permissions"] + + +__all__ = ("IndexServiceGrpcAsyncIOTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/transports/rest.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/transports/rest.py new file mode 100644 index 0000000000000000000000000000000000000000..aac621ff0f70a03738feab2c1317e216247669da --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/transports/rest.py @@ -0,0 +1,5349 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging +import json # type: ignore + +from google.auth.transport.requests import AuthorizedSession # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.api_core import exceptions as core_exceptions +from google.api_core import retry as retries +from google.api_core import rest_helpers +from google.api_core import rest_streaming +from google.api_core import gapic_v1 +import google.protobuf + +from google.protobuf import json_format +from google.api_core import operations_v1 +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore + +from requests import __version__ as requests_version +import dataclasses +from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union +import warnings + + +from google.cloud.aiplatform_v1.types import index +from google.cloud.aiplatform_v1.types import index_service +from google.longrunning import operations_pb2 # type: ignore + + +from .rest_base import _BaseIndexServiceRestTransport +from .base import DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = logging.getLogger(__name__) + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version, + grpc_version=None, + rest_version=f"requests@{requests_version}", +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +class IndexServiceRestInterceptor: + """Interceptor for IndexService. + + Interceptors are used to manipulate requests, request metadata, and responses + in arbitrary ways. + Example use cases include: + * Logging + * Verifying requests according to service or custom semantics + * Stripping extraneous information from responses + + These use cases and more can be enabled by injecting an + instance of a custom subclass when constructing the IndexServiceRestTransport. + + .. code-block:: python + class MyCustomIndexServiceInterceptor(IndexServiceRestInterceptor): + def pre_create_index(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_create_index(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_delete_index(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_delete_index(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_get_index(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_get_index(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_list_indexes(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_list_indexes(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_remove_datapoints(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_remove_datapoints(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_update_index(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_update_index(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_upsert_datapoints(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_upsert_datapoints(self, response): + logging.log(f"Received response: {response}") + return response + + transport = IndexServiceRestTransport(interceptor=MyCustomIndexServiceInterceptor()) + client = IndexServiceClient(transport=transport) + + + """ + + def pre_create_index( + self, + request: index_service.CreateIndexRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + index_service.CreateIndexRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for create_index + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + def post_create_index( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for create_index + + DEPRECATED. Please use the `post_create_index_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. This `post_create_index` interceptor runs + before the `post_create_index_with_metadata` interceptor. + """ + return response + + def post_create_index_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for create_index + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the IndexService server but before it is returned to user code. + + We recommend only using this `post_create_index_with_metadata` + interceptor in new development instead of the `post_create_index` interceptor. + When both interceptors are used, this `post_create_index_with_metadata` interceptor runs after the + `post_create_index` interceptor. The (possibly modified) response returned by + `post_create_index` will be passed to + `post_create_index_with_metadata`. + """ + return response, metadata + + def pre_delete_index( + self, + request: index_service.DeleteIndexRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + index_service.DeleteIndexRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for delete_index + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + def post_delete_index( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for delete_index + + DEPRECATED. Please use the `post_delete_index_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. This `post_delete_index` interceptor runs + before the `post_delete_index_with_metadata` interceptor. + """ + return response + + def post_delete_index_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for delete_index + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the IndexService server but before it is returned to user code. + + We recommend only using this `post_delete_index_with_metadata` + interceptor in new development instead of the `post_delete_index` interceptor. + When both interceptors are used, this `post_delete_index_with_metadata` interceptor runs after the + `post_delete_index` interceptor. The (possibly modified) response returned by + `post_delete_index` will be passed to + `post_delete_index_with_metadata`. + """ + return response, metadata + + def pre_get_index( + self, + request: index_service.GetIndexRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[index_service.GetIndexRequest, Sequence[Tuple[str, Union[str, bytes]]]]: + """Pre-rpc interceptor for get_index + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + def post_get_index(self, response: index.Index) -> index.Index: + """Post-rpc interceptor for get_index + + DEPRECATED. Please use the `post_get_index_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. This `post_get_index` interceptor runs + before the `post_get_index_with_metadata` interceptor. + """ + return response + + def post_get_index_with_metadata( + self, response: index.Index, metadata: Sequence[Tuple[str, Union[str, bytes]]] + ) -> Tuple[index.Index, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for get_index + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the IndexService server but before it is returned to user code. + + We recommend only using this `post_get_index_with_metadata` + interceptor in new development instead of the `post_get_index` interceptor. + When both interceptors are used, this `post_get_index_with_metadata` interceptor runs after the + `post_get_index` interceptor. The (possibly modified) response returned by + `post_get_index` will be passed to + `post_get_index_with_metadata`. + """ + return response, metadata + + def pre_list_indexes( + self, + request: index_service.ListIndexesRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + index_service.ListIndexesRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_indexes + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + def post_list_indexes( + self, response: index_service.ListIndexesResponse + ) -> index_service.ListIndexesResponse: + """Post-rpc interceptor for list_indexes + + DEPRECATED. Please use the `post_list_indexes_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. This `post_list_indexes` interceptor runs + before the `post_list_indexes_with_metadata` interceptor. + """ + return response + + def post_list_indexes_with_metadata( + self, + response: index_service.ListIndexesResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + index_service.ListIndexesResponse, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Post-rpc interceptor for list_indexes + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the IndexService server but before it is returned to user code. + + We recommend only using this `post_list_indexes_with_metadata` + interceptor in new development instead of the `post_list_indexes` interceptor. + When both interceptors are used, this `post_list_indexes_with_metadata` interceptor runs after the + `post_list_indexes` interceptor. The (possibly modified) response returned by + `post_list_indexes` will be passed to + `post_list_indexes_with_metadata`. + """ + return response, metadata + + def pre_remove_datapoints( + self, + request: index_service.RemoveDatapointsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + index_service.RemoveDatapointsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for remove_datapoints + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + def post_remove_datapoints( + self, response: index_service.RemoveDatapointsResponse + ) -> index_service.RemoveDatapointsResponse: + """Post-rpc interceptor for remove_datapoints + + DEPRECATED. Please use the `post_remove_datapoints_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. This `post_remove_datapoints` interceptor runs + before the `post_remove_datapoints_with_metadata` interceptor. + """ + return response + + def post_remove_datapoints_with_metadata( + self, + response: index_service.RemoveDatapointsResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + index_service.RemoveDatapointsResponse, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Post-rpc interceptor for remove_datapoints + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the IndexService server but before it is returned to user code. + + We recommend only using this `post_remove_datapoints_with_metadata` + interceptor in new development instead of the `post_remove_datapoints` interceptor. + When both interceptors are used, this `post_remove_datapoints_with_metadata` interceptor runs after the + `post_remove_datapoints` interceptor. The (possibly modified) response returned by + `post_remove_datapoints` will be passed to + `post_remove_datapoints_with_metadata`. + """ + return response, metadata + + def pre_update_index( + self, + request: index_service.UpdateIndexRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + index_service.UpdateIndexRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for update_index + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + def post_update_index( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for update_index + + DEPRECATED. Please use the `post_update_index_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. This `post_update_index` interceptor runs + before the `post_update_index_with_metadata` interceptor. + """ + return response + + def post_update_index_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for update_index + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the IndexService server but before it is returned to user code. + + We recommend only using this `post_update_index_with_metadata` + interceptor in new development instead of the `post_update_index` interceptor. + When both interceptors are used, this `post_update_index_with_metadata` interceptor runs after the + `post_update_index` interceptor. The (possibly modified) response returned by + `post_update_index` will be passed to + `post_update_index_with_metadata`. + """ + return response, metadata + + def pre_upsert_datapoints( + self, + request: index_service.UpsertDatapointsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + index_service.UpsertDatapointsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for upsert_datapoints + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + def post_upsert_datapoints( + self, response: index_service.UpsertDatapointsResponse + ) -> index_service.UpsertDatapointsResponse: + """Post-rpc interceptor for upsert_datapoints + + DEPRECATED. Please use the `post_upsert_datapoints_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. This `post_upsert_datapoints` interceptor runs + before the `post_upsert_datapoints_with_metadata` interceptor. + """ + return response + + def post_upsert_datapoints_with_metadata( + self, + response: index_service.UpsertDatapointsResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + index_service.UpsertDatapointsResponse, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Post-rpc interceptor for upsert_datapoints + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the IndexService server but before it is returned to user code. + + We recommend only using this `post_upsert_datapoints_with_metadata` + interceptor in new development instead of the `post_upsert_datapoints` interceptor. + When both interceptors are used, this `post_upsert_datapoints_with_metadata` interceptor runs after the + `post_upsert_datapoints` interceptor. The (possibly modified) response returned by + `post_upsert_datapoints` will be passed to + `post_upsert_datapoints_with_metadata`. + """ + return response, metadata + + def pre_get_location( + self, + request: locations_pb2.GetLocationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.GetLocationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_location + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + def post_get_location( + self, response: locations_pb2.Location + ) -> locations_pb2.Location: + """Post-rpc interceptor for get_location + + Override in a subclass to manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. + """ + return response + + def pre_list_locations( + self, + request: locations_pb2.ListLocationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.ListLocationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_locations + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + def post_list_locations( + self, response: locations_pb2.ListLocationsResponse + ) -> locations_pb2.ListLocationsResponse: + """Post-rpc interceptor for list_locations + + Override in a subclass to manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. + """ + return response + + def pre_get_iam_policy( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.GetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + def post_get_iam_policy(self, response: policy_pb2.Policy) -> policy_pb2.Policy: + """Post-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. + """ + return response + + def pre_set_iam_policy( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.SetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + def post_set_iam_policy(self, response: policy_pb2.Policy) -> policy_pb2.Policy: + """Post-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. + """ + return response + + def pre_test_iam_permissions( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.TestIamPermissionsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + def post_test_iam_permissions( + self, response: iam_policy_pb2.TestIamPermissionsResponse + ) -> iam_policy_pb2.TestIamPermissionsResponse: + """Post-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. + """ + return response + + def pre_cancel_operation( + self, + request: operations_pb2.CancelOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.CancelOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + def post_cancel_operation(self, response: None) -> None: + """Post-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. + """ + return response + + def pre_delete_operation( + self, + request: operations_pb2.DeleteOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.DeleteOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for delete_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + def post_delete_operation(self, response: None) -> None: + """Post-rpc interceptor for delete_operation + + Override in a subclass to manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. + """ + return response + + def pre_get_operation( + self, + request: operations_pb2.GetOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.GetOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + def post_get_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for get_operation + + Override in a subclass to manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. + """ + return response + + def pre_list_operations( + self, + request: operations_pb2.ListOperationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.ListOperationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_operations + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + def post_list_operations( + self, response: operations_pb2.ListOperationsResponse + ) -> operations_pb2.ListOperationsResponse: + """Post-rpc interceptor for list_operations + + Override in a subclass to manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. + """ + return response + + def pre_wait_operation( + self, + request: operations_pb2.WaitOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.WaitOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for wait_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + def post_wait_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for wait_operation + + Override in a subclass to manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. + """ + return response + + +@dataclasses.dataclass +class IndexServiceRestStub: + _session: AuthorizedSession + _host: str + _interceptor: IndexServiceRestInterceptor + + +class IndexServiceRestTransport(_BaseIndexServiceRestTransport): + """REST backend synchronous transport for IndexService. + + A service for creating and managing Vertex AI's Index + resources. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + """ + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + url_scheme: str = "https", + interceptor: Optional[IndexServiceRestInterceptor] = None, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. This argument will be + removed in the next major version of this library. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if ``channel`` is provided. + client_cert_source_for_mtls (Callable[[], Tuple[bytes, bytes]]): Client + certificate to configure mutual TLS HTTP channel. It is ignored + if ``channel`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + url_scheme: the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + # TODO(yon-mg): resolve other ctor params i.e. scopes, quota, etc. + # TODO: When custom host (api_endpoint) is set, `scopes` must *also* be set on the + # credentials object + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + url_scheme=url_scheme, + api_audience=api_audience, + ) + self._session = AuthorizedSession( + self._credentials, default_host=self.DEFAULT_HOST + ) + self._operations_client: Optional[operations_v1.AbstractOperationsClient] = None + if client_cert_source_for_mtls: + self._session.configure_mtls_channel(client_cert_source_for_mtls) + self._interceptor = interceptor or IndexServiceRestInterceptor() + self._prep_wrapped_messages(client_info) + + @property + def operations_client(self) -> operations_v1.AbstractOperationsClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Only create a new client if we do not already have one. + if self._operations_client is None: + http_options: Dict[str, List[Dict[str, str]]] = { + "google.longrunning.Operations.CancelOperation": [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + ], + "google.longrunning.Operations.DeleteOperation": [ + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensions/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}", + }, + ], + "google.longrunning.Operations.GetOperation": [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": 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"method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:wait", + }, + ], + } + + rest_transport = operations_v1.OperationsRestTransport( + host=self._host, + # use the credentials which are saved + credentials=self._credentials, + scopes=self._scopes, + http_options=http_options, + path_prefix="v1", + ) + + self._operations_client = operations_v1.AbstractOperationsClient( + transport=rest_transport + ) + + # Return the client from cache. + return self._operations_client + + class _CreateIndex( + _BaseIndexServiceRestTransport._BaseCreateIndex, IndexServiceRestStub + ): + def __hash__(self): + return hash("IndexServiceRestTransport.CreateIndex") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: index_service.CreateIndexRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the create index method over HTTP. + + Args: + request (~.index_service.CreateIndexRequest): + The request object. Request message for + [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseCreateIndex._get_http_options() + ) + + request, metadata = self._interceptor.pre_create_index(request, metadata) + transcoded_request = ( + _BaseIndexServiceRestTransport._BaseCreateIndex._get_transcoded_request( + http_options, request + ) + ) + + body = ( + _BaseIndexServiceRestTransport._BaseCreateIndex._get_request_body_json( + transcoded_request + ) + ) + + # Jsonify the query params + query_params = ( + _BaseIndexServiceRestTransport._BaseCreateIndex._get_query_params_json( + transcoded_request + ) + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.CreateIndex", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "CreateIndex", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = IndexServiceRestTransport._CreateIndex._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_create_index(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_create_index_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceClient.create_index", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "CreateIndex", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _DeleteIndex( + _BaseIndexServiceRestTransport._BaseDeleteIndex, IndexServiceRestStub + ): + def __hash__(self): + return hash("IndexServiceRestTransport.DeleteIndex") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: index_service.DeleteIndexRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the delete index method over HTTP. + + Args: + request (~.index_service.DeleteIndexRequest): + The request object. Request message for + [IndexService.DeleteIndex][google.cloud.aiplatform.v1.IndexService.DeleteIndex]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseDeleteIndex._get_http_options() + ) + + request, metadata = self._interceptor.pre_delete_index(request, metadata) + transcoded_request = ( + _BaseIndexServiceRestTransport._BaseDeleteIndex._get_transcoded_request( + http_options, request + ) + ) + + # Jsonify the query params + query_params = ( + _BaseIndexServiceRestTransport._BaseDeleteIndex._get_query_params_json( + transcoded_request + ) + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.DeleteIndex", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "DeleteIndex", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = IndexServiceRestTransport._DeleteIndex._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_delete_index(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_delete_index_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceClient.delete_index", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "DeleteIndex", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _GetIndex(_BaseIndexServiceRestTransport._BaseGetIndex, IndexServiceRestStub): + def __hash__(self): + return hash("IndexServiceRestTransport.GetIndex") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: index_service.GetIndexRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> index.Index: + r"""Call the get index method over HTTP. + + Args: + request (~.index_service.GetIndexRequest): + The request object. Request message for + [IndexService.GetIndex][google.cloud.aiplatform.v1.IndexService.GetIndex] + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.index.Index: + A representation of a collection of + database items organized in a way that + allows for approximate nearest neighbor + (a.k.a ANN) algorithms search. + + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseGetIndex._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_index(request, metadata) + transcoded_request = ( + _BaseIndexServiceRestTransport._BaseGetIndex._get_transcoded_request( + http_options, request + ) + ) + + # Jsonify the query params + query_params = ( + _BaseIndexServiceRestTransport._BaseGetIndex._get_query_params_json( + transcoded_request + ) + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.GetIndex", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "GetIndex", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = IndexServiceRestTransport._GetIndex._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = index.Index() + pb_resp = index.Index.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_get_index(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_get_index_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = index.Index.to_json(response) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceClient.get_index", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "GetIndex", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _ListIndexes( + _BaseIndexServiceRestTransport._BaseListIndexes, IndexServiceRestStub + ): + def __hash__(self): + return hash("IndexServiceRestTransport.ListIndexes") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: index_service.ListIndexesRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> index_service.ListIndexesResponse: + r"""Call the list indexes method over HTTP. + + Args: + request (~.index_service.ListIndexesRequest): + The request object. Request message for + [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.index_service.ListIndexesResponse: + Response message for + [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes]. + + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseListIndexes._get_http_options() + ) + + request, metadata = self._interceptor.pre_list_indexes(request, metadata) + transcoded_request = ( + _BaseIndexServiceRestTransport._BaseListIndexes._get_transcoded_request( + http_options, request + ) + ) + + # Jsonify the query params + query_params = ( + _BaseIndexServiceRestTransport._BaseListIndexes._get_query_params_json( + transcoded_request + ) + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.ListIndexes", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "ListIndexes", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = IndexServiceRestTransport._ListIndexes._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = index_service.ListIndexesResponse() + pb_resp = index_service.ListIndexesResponse.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_list_indexes(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_list_indexes_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = index_service.ListIndexesResponse.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceClient.list_indexes", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "ListIndexes", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _RemoveDatapoints( + _BaseIndexServiceRestTransport._BaseRemoveDatapoints, IndexServiceRestStub + ): + def __hash__(self): + return hash("IndexServiceRestTransport.RemoveDatapoints") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: index_service.RemoveDatapointsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> index_service.RemoveDatapointsResponse: + r"""Call the remove datapoints method over HTTP. + + Args: + request (~.index_service.RemoveDatapointsRequest): + The request object. Request message for + [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints] + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.index_service.RemoveDatapointsResponse: + Response message for + [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints] + + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseRemoveDatapoints._get_http_options() + ) + + request, metadata = self._interceptor.pre_remove_datapoints( + request, metadata + ) + transcoded_request = _BaseIndexServiceRestTransport._BaseRemoveDatapoints._get_transcoded_request( + http_options, request + ) + + body = _BaseIndexServiceRestTransport._BaseRemoveDatapoints._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseIndexServiceRestTransport._BaseRemoveDatapoints._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.RemoveDatapoints", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "RemoveDatapoints", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = IndexServiceRestTransport._RemoveDatapoints._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = index_service.RemoveDatapointsResponse() + pb_resp = index_service.RemoveDatapointsResponse.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_remove_datapoints(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_remove_datapoints_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = index_service.RemoveDatapointsResponse.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceClient.remove_datapoints", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "RemoveDatapoints", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _UpdateIndex( + _BaseIndexServiceRestTransport._BaseUpdateIndex, IndexServiceRestStub + ): + def __hash__(self): + return hash("IndexServiceRestTransport.UpdateIndex") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: index_service.UpdateIndexRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the update index method over HTTP. + + Args: + request (~.index_service.UpdateIndexRequest): + The request object. Request message for + [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseUpdateIndex._get_http_options() + ) + + request, metadata = self._interceptor.pre_update_index(request, metadata) + transcoded_request = ( + _BaseIndexServiceRestTransport._BaseUpdateIndex._get_transcoded_request( + http_options, request + ) + ) + + body = ( + _BaseIndexServiceRestTransport._BaseUpdateIndex._get_request_body_json( + transcoded_request + ) + ) + + # Jsonify the query params + query_params = ( + _BaseIndexServiceRestTransport._BaseUpdateIndex._get_query_params_json( + transcoded_request + ) + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.UpdateIndex", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "UpdateIndex", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = IndexServiceRestTransport._UpdateIndex._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_update_index(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_update_index_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceClient.update_index", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "UpdateIndex", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _UpsertDatapoints( + _BaseIndexServiceRestTransport._BaseUpsertDatapoints, IndexServiceRestStub + ): + def __hash__(self): + return hash("IndexServiceRestTransport.UpsertDatapoints") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: index_service.UpsertDatapointsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> index_service.UpsertDatapointsResponse: + r"""Call the upsert datapoints method over HTTP. + + Args: + request (~.index_service.UpsertDatapointsRequest): + The request object. Request message for + [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints] + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.index_service.UpsertDatapointsResponse: + Response message for + [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints] + + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseUpsertDatapoints._get_http_options() + ) + + request, metadata = self._interceptor.pre_upsert_datapoints( + request, metadata + ) + transcoded_request = _BaseIndexServiceRestTransport._BaseUpsertDatapoints._get_transcoded_request( + http_options, request + ) + + body = _BaseIndexServiceRestTransport._BaseUpsertDatapoints._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseIndexServiceRestTransport._BaseUpsertDatapoints._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.UpsertDatapoints", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "UpsertDatapoints", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = IndexServiceRestTransport._UpsertDatapoints._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = index_service.UpsertDatapointsResponse() + pb_resp = index_service.UpsertDatapointsResponse.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_upsert_datapoints(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_upsert_datapoints_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = index_service.UpsertDatapointsResponse.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceClient.upsert_datapoints", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "UpsertDatapoints", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + @property + def create_index( + self, + ) -> Callable[[index_service.CreateIndexRequest], operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._CreateIndex(self._session, self._host, self._interceptor) # type: ignore + + @property + def delete_index( + self, + ) -> Callable[[index_service.DeleteIndexRequest], operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._DeleteIndex(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_index(self) -> Callable[[index_service.GetIndexRequest], index.Index]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._GetIndex(self._session, self._host, self._interceptor) # type: ignore + + @property + def list_indexes( + self, + ) -> Callable[ + [index_service.ListIndexesRequest], index_service.ListIndexesResponse + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._ListIndexes(self._session, self._host, self._interceptor) # type: ignore + + @property + def remove_datapoints( + self, + ) -> Callable[ + [index_service.RemoveDatapointsRequest], index_service.RemoveDatapointsResponse + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._RemoveDatapoints(self._session, self._host, self._interceptor) # type: ignore + + @property + def update_index( + self, + ) -> Callable[[index_service.UpdateIndexRequest], operations_pb2.Operation]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._UpdateIndex(self._session, self._host, self._interceptor) # type: ignore + + @property + def upsert_datapoints( + self, + ) -> Callable[ + [index_service.UpsertDatapointsRequest], index_service.UpsertDatapointsResponse + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._UpsertDatapoints(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_location(self): + return self._GetLocation(self._session, self._host, self._interceptor) # type: ignore + + class _GetLocation( + _BaseIndexServiceRestTransport._BaseGetLocation, IndexServiceRestStub + ): + def __hash__(self): + return hash("IndexServiceRestTransport.GetLocation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: locations_pb2.GetLocationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Call the get location method over HTTP. + + Args: + request (locations_pb2.GetLocationRequest): + The request object for GetLocation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.Location: Response from GetLocation method. + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseGetLocation._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_location(request, metadata) + transcoded_request = ( + _BaseIndexServiceRestTransport._BaseGetLocation._get_transcoded_request( + http_options, request + ) + ) + + # Jsonify the query params + query_params = ( + _BaseIndexServiceRestTransport._BaseGetLocation._get_query_params_json( + transcoded_request + ) + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "GetLocation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = IndexServiceRestTransport._GetLocation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = locations_pb2.Location() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_get_location(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceAsyncClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "GetLocation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_locations(self): + return self._ListLocations(self._session, self._host, self._interceptor) # type: ignore + + class _ListLocations( + _BaseIndexServiceRestTransport._BaseListLocations, IndexServiceRestStub + ): + def __hash__(self): + return hash("IndexServiceRestTransport.ListLocations") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: locations_pb2.ListLocationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Call the list locations method over HTTP. + + Args: + request (locations_pb2.ListLocationsRequest): + The request object for ListLocations method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.ListLocationsResponse: Response from ListLocations method. + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseListLocations._get_http_options() + ) + + request, metadata = self._interceptor.pre_list_locations(request, metadata) + transcoded_request = _BaseIndexServiceRestTransport._BaseListLocations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseIndexServiceRestTransport._BaseListLocations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "ListLocations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = IndexServiceRestTransport._ListLocations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = locations_pb2.ListLocationsResponse() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_list_locations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceAsyncClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "ListLocations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def get_iam_policy(self): + return self._GetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _GetIamPolicy( + _BaseIndexServiceRestTransport._BaseGetIamPolicy, IndexServiceRestStub + ): + def __hash__(self): + return hash("IndexServiceRestTransport.GetIamPolicy") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the get iam policy method over HTTP. + + Args: + request (iam_policy_pb2.GetIamPolicyRequest): + The request object for GetIamPolicy method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from GetIamPolicy method. + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseGetIamPolicy._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_iam_policy(request, metadata) + transcoded_request = _BaseIndexServiceRestTransport._BaseGetIamPolicy._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = ( + _BaseIndexServiceRestTransport._BaseGetIamPolicy._get_query_params_json( + transcoded_request + ) + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "GetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = IndexServiceRestTransport._GetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_get_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceAsyncClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "GetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def set_iam_policy(self): + return self._SetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _SetIamPolicy( + _BaseIndexServiceRestTransport._BaseSetIamPolicy, IndexServiceRestStub + ): + def __hash__(self): + return hash("IndexServiceRestTransport.SetIamPolicy") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the set iam policy method over HTTP. + + Args: + request (iam_policy_pb2.SetIamPolicyRequest): + The request object for SetIamPolicy method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from SetIamPolicy method. + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseSetIamPolicy._get_http_options() + ) + + request, metadata = self._interceptor.pre_set_iam_policy(request, metadata) + transcoded_request = _BaseIndexServiceRestTransport._BaseSetIamPolicy._get_transcoded_request( + http_options, request + ) + + body = ( + _BaseIndexServiceRestTransport._BaseSetIamPolicy._get_request_body_json( + transcoded_request + ) + ) + + # Jsonify the query params + query_params = ( + _BaseIndexServiceRestTransport._BaseSetIamPolicy._get_query_params_json( + transcoded_request + ) + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "SetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = IndexServiceRestTransport._SetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_set_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceAsyncClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "SetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def test_iam_permissions(self): + return self._TestIamPermissions(self._session, self._host, self._interceptor) # type: ignore + + class _TestIamPermissions( + _BaseIndexServiceRestTransport._BaseTestIamPermissions, IndexServiceRestStub + ): + def __hash__(self): + return hash("IndexServiceRestTransport.TestIamPermissions") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Call the test iam permissions method over HTTP. + + Args: + request (iam_policy_pb2.TestIamPermissionsRequest): + The request object for TestIamPermissions method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + iam_policy_pb2.TestIamPermissionsResponse: Response from TestIamPermissions method. + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseTestIamPermissions._get_http_options() + ) + + request, metadata = self._interceptor.pre_test_iam_permissions( + request, metadata + ) + transcoded_request = _BaseIndexServiceRestTransport._BaseTestIamPermissions._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseIndexServiceRestTransport._BaseTestIamPermissions._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "TestIamPermissions", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = IndexServiceRestTransport._TestIamPermissions._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = iam_policy_pb2.TestIamPermissionsResponse() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_test_iam_permissions(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceAsyncClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "TestIamPermissions", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def cancel_operation(self): + return self._CancelOperation(self._session, self._host, self._interceptor) # type: ignore + + class _CancelOperation( + _BaseIndexServiceRestTransport._BaseCancelOperation, IndexServiceRestStub + ): + def __hash__(self): + return hash("IndexServiceRestTransport.CancelOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.CancelOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the cancel operation method over HTTP. + + Args: + request (operations_pb2.CancelOperationRequest): + The request object for CancelOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseCancelOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_cancel_operation( + request, metadata + ) + transcoded_request = _BaseIndexServiceRestTransport._BaseCancelOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseIndexServiceRestTransport._BaseCancelOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.CancelOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "CancelOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = IndexServiceRestTransport._CancelOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + return self._interceptor.post_cancel_operation(None) + + @property + def delete_operation(self): + return self._DeleteOperation(self._session, self._host, self._interceptor) # type: ignore + + class _DeleteOperation( + _BaseIndexServiceRestTransport._BaseDeleteOperation, IndexServiceRestStub + ): + def __hash__(self): + return hash("IndexServiceRestTransport.DeleteOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.DeleteOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the delete operation method over HTTP. + + Args: + request (operations_pb2.DeleteOperationRequest): + The request object for DeleteOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseDeleteOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_delete_operation( + request, metadata + ) + transcoded_request = _BaseIndexServiceRestTransport._BaseDeleteOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseIndexServiceRestTransport._BaseDeleteOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.DeleteOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "DeleteOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = IndexServiceRestTransport._DeleteOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + return self._interceptor.post_delete_operation(None) + + @property + def get_operation(self): + return self._GetOperation(self._session, self._host, self._interceptor) # type: ignore + + class _GetOperation( + _BaseIndexServiceRestTransport._BaseGetOperation, IndexServiceRestStub + ): + def __hash__(self): + return hash("IndexServiceRestTransport.GetOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.GetOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the get operation method over HTTP. + + Args: + request (operations_pb2.GetOperationRequest): + The request object for GetOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from GetOperation method. + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseGetOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_operation(request, metadata) + transcoded_request = _BaseIndexServiceRestTransport._BaseGetOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = ( + _BaseIndexServiceRestTransport._BaseGetOperation._get_query_params_json( + transcoded_request + ) + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "GetOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = IndexServiceRestTransport._GetOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_get_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceAsyncClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "GetOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_operations(self): + return self._ListOperations(self._session, self._host, self._interceptor) # type: ignore + + class _ListOperations( + _BaseIndexServiceRestTransport._BaseListOperations, IndexServiceRestStub + ): + def __hash__(self): + return hash("IndexServiceRestTransport.ListOperations") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.ListOperationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Call the list operations method over HTTP. + + Args: + request (operations_pb2.ListOperationsRequest): + The request object for ListOperations method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.ListOperationsResponse: Response from ListOperations method. + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseListOperations._get_http_options() + ) + + request, metadata = self._interceptor.pre_list_operations(request, metadata) + transcoded_request = _BaseIndexServiceRestTransport._BaseListOperations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseIndexServiceRestTransport._BaseListOperations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "ListOperations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = IndexServiceRestTransport._ListOperations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = operations_pb2.ListOperationsResponse() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_list_operations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceAsyncClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "ListOperations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def wait_operation(self): + return self._WaitOperation(self._session, self._host, self._interceptor) # type: ignore + + class _WaitOperation( + _BaseIndexServiceRestTransport._BaseWaitOperation, IndexServiceRestStub + ): + def __hash__(self): + return hash("IndexServiceRestTransport.WaitOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.WaitOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the wait operation method over HTTP. + + Args: + request (operations_pb2.WaitOperationRequest): + The request object for WaitOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from WaitOperation method. + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseWaitOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_wait_operation(request, metadata) + transcoded_request = _BaseIndexServiceRestTransport._BaseWaitOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseIndexServiceRestTransport._BaseWaitOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "WaitOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = IndexServiceRestTransport._WaitOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_wait_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceAsyncClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "WaitOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def kind(self) -> str: + return "rest" + + def close(self): + self._session.close() + + +__all__ = ("IndexServiceRestTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/transports/rest_asyncio.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/transports/rest_asyncio.py new file mode 100644 index 0000000000000000000000000000000000000000..aa82cc32a7e7095e3b17b8defb9d9ccbc5c7b7a5 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/transports/rest_asyncio.py @@ -0,0 +1,5572 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +import google.auth + +try: + import aiohttp # type: ignore + from google.auth.aio.transport.sessions import AsyncAuthorizedSession # type: ignore + from google.api_core import rest_streaming_async # type: ignore + from google.api_core.operations_v1 import AsyncOperationsRestClient # type: ignore +except ImportError as e: # pragma: NO COVER + raise ImportError( + "`rest_asyncio` transport requires the library to be installed with the `async_rest` extra. Install the library with the `async_rest` extra using `pip install google-cloud-aiplatform[async_rest]`" + ) from e + +from google.auth.aio import credentials as ga_credentials_async # type: ignore + +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import operations_v1 +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore +from google.api_core import retry_async as retries +from google.api_core import rest_helpers +from google.api_core import rest_streaming_async # type: ignore +import google.protobuf + +from google.protobuf import json_format +from google.api_core import operations_v1 +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore + +import json # type: ignore +import dataclasses +from typing import Any, Dict, List, Callable, Tuple, Optional, Sequence, Union + + +from google.cloud.aiplatform_v1.types import index +from google.cloud.aiplatform_v1.types import index_service +from google.longrunning import operations_pb2 # type: ignore + + +from .rest_base import _BaseIndexServiceRestTransport + +from .base import DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO + + +import logging + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = logging.getLogger(__name__) + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version, + grpc_version=None, + rest_version=f"google-auth@{google.auth.__version__}", +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +class AsyncIndexServiceRestInterceptor: + """Asynchronous Interceptor for IndexService. + + Interceptors are used to manipulate requests, request metadata, and responses + in arbitrary ways. + Example use cases include: + * Logging + * Verifying requests according to service or custom semantics + * Stripping extraneous information from responses + + These use cases and more can be enabled by injecting an + instance of a custom subclass when constructing the AsyncIndexServiceRestTransport. + + .. code-block:: python + class MyCustomIndexServiceInterceptor(IndexServiceRestInterceptor): + async def pre_create_index(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_create_index(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_delete_index(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_delete_index(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_get_index(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_get_index(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_list_indexes(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_list_indexes(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_remove_datapoints(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_remove_datapoints(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_update_index(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_update_index(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_upsert_datapoints(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_upsert_datapoints(self, response): + logging.log(f"Received response: {response}") + return response + + transport = AsyncIndexServiceRestTransport(interceptor=MyCustomIndexServiceInterceptor()) + client = async IndexServiceClient(transport=transport) + + + """ + + async def pre_create_index( + self, + request: index_service.CreateIndexRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + index_service.CreateIndexRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for create_index + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + async def post_create_index( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for create_index + + DEPRECATED. Please use the `post_create_index_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. This `post_create_index` interceptor runs + before the `post_create_index_with_metadata` interceptor. + """ + return response + + async def post_create_index_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for create_index + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the IndexService server but before it is returned to user code. + + We recommend only using this `post_create_index_with_metadata` + interceptor in new development instead of the `post_create_index` interceptor. + When both interceptors are used, this `post_create_index_with_metadata` interceptor runs after the + `post_create_index` interceptor. The (possibly modified) response returned by + `post_create_index` will be passed to + `post_create_index_with_metadata`. + """ + return response, metadata + + async def pre_delete_index( + self, + request: index_service.DeleteIndexRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + index_service.DeleteIndexRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for delete_index + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + async def post_delete_index( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for delete_index + + DEPRECATED. Please use the `post_delete_index_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. This `post_delete_index` interceptor runs + before the `post_delete_index_with_metadata` interceptor. + """ + return response + + async def post_delete_index_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for delete_index + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the IndexService server but before it is returned to user code. + + We recommend only using this `post_delete_index_with_metadata` + interceptor in new development instead of the `post_delete_index` interceptor. + When both interceptors are used, this `post_delete_index_with_metadata` interceptor runs after the + `post_delete_index` interceptor. The (possibly modified) response returned by + `post_delete_index` will be passed to + `post_delete_index_with_metadata`. + """ + return response, metadata + + async def pre_get_index( + self, + request: index_service.GetIndexRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[index_service.GetIndexRequest, Sequence[Tuple[str, Union[str, bytes]]]]: + """Pre-rpc interceptor for get_index + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + async def post_get_index(self, response: index.Index) -> index.Index: + """Post-rpc interceptor for get_index + + DEPRECATED. Please use the `post_get_index_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. This `post_get_index` interceptor runs + before the `post_get_index_with_metadata` interceptor. + """ + return response + + async def post_get_index_with_metadata( + self, response: index.Index, metadata: Sequence[Tuple[str, Union[str, bytes]]] + ) -> Tuple[index.Index, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for get_index + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the IndexService server but before it is returned to user code. + + We recommend only using this `post_get_index_with_metadata` + interceptor in new development instead of the `post_get_index` interceptor. + When both interceptors are used, this `post_get_index_with_metadata` interceptor runs after the + `post_get_index` interceptor. The (possibly modified) response returned by + `post_get_index` will be passed to + `post_get_index_with_metadata`. + """ + return response, metadata + + async def pre_list_indexes( + self, + request: index_service.ListIndexesRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + index_service.ListIndexesRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_indexes + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + async def post_list_indexes( + self, response: index_service.ListIndexesResponse + ) -> index_service.ListIndexesResponse: + """Post-rpc interceptor for list_indexes + + DEPRECATED. Please use the `post_list_indexes_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. This `post_list_indexes` interceptor runs + before the `post_list_indexes_with_metadata` interceptor. + """ + return response + + async def post_list_indexes_with_metadata( + self, + response: index_service.ListIndexesResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + index_service.ListIndexesResponse, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Post-rpc interceptor for list_indexes + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the IndexService server but before it is returned to user code. + + We recommend only using this `post_list_indexes_with_metadata` + interceptor in new development instead of the `post_list_indexes` interceptor. + When both interceptors are used, this `post_list_indexes_with_metadata` interceptor runs after the + `post_list_indexes` interceptor. The (possibly modified) response returned by + `post_list_indexes` will be passed to + `post_list_indexes_with_metadata`. + """ + return response, metadata + + async def pre_remove_datapoints( + self, + request: index_service.RemoveDatapointsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + index_service.RemoveDatapointsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for remove_datapoints + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + async def post_remove_datapoints( + self, response: index_service.RemoveDatapointsResponse + ) -> index_service.RemoveDatapointsResponse: + """Post-rpc interceptor for remove_datapoints + + DEPRECATED. Please use the `post_remove_datapoints_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. This `post_remove_datapoints` interceptor runs + before the `post_remove_datapoints_with_metadata` interceptor. + """ + return response + + async def post_remove_datapoints_with_metadata( + self, + response: index_service.RemoveDatapointsResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + index_service.RemoveDatapointsResponse, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Post-rpc interceptor for remove_datapoints + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the IndexService server but before it is returned to user code. + + We recommend only using this `post_remove_datapoints_with_metadata` + interceptor in new development instead of the `post_remove_datapoints` interceptor. + When both interceptors are used, this `post_remove_datapoints_with_metadata` interceptor runs after the + `post_remove_datapoints` interceptor. The (possibly modified) response returned by + `post_remove_datapoints` will be passed to + `post_remove_datapoints_with_metadata`. + """ + return response, metadata + + async def pre_update_index( + self, + request: index_service.UpdateIndexRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + index_service.UpdateIndexRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for update_index + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + async def post_update_index( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for update_index + + DEPRECATED. Please use the `post_update_index_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. This `post_update_index` interceptor runs + before the `post_update_index_with_metadata` interceptor. + """ + return response + + async def post_update_index_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for update_index + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the IndexService server but before it is returned to user code. + + We recommend only using this `post_update_index_with_metadata` + interceptor in new development instead of the `post_update_index` interceptor. + When both interceptors are used, this `post_update_index_with_metadata` interceptor runs after the + `post_update_index` interceptor. The (possibly modified) response returned by + `post_update_index` will be passed to + `post_update_index_with_metadata`. + """ + return response, metadata + + async def pre_upsert_datapoints( + self, + request: index_service.UpsertDatapointsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + index_service.UpsertDatapointsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for upsert_datapoints + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + async def post_upsert_datapoints( + self, response: index_service.UpsertDatapointsResponse + ) -> index_service.UpsertDatapointsResponse: + """Post-rpc interceptor for upsert_datapoints + + DEPRECATED. Please use the `post_upsert_datapoints_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. This `post_upsert_datapoints` interceptor runs + before the `post_upsert_datapoints_with_metadata` interceptor. + """ + return response + + async def post_upsert_datapoints_with_metadata( + self, + response: index_service.UpsertDatapointsResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + index_service.UpsertDatapointsResponse, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Post-rpc interceptor for upsert_datapoints + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the IndexService server but before it is returned to user code. + + We recommend only using this `post_upsert_datapoints_with_metadata` + interceptor in new development instead of the `post_upsert_datapoints` interceptor. + When both interceptors are used, this `post_upsert_datapoints_with_metadata` interceptor runs after the + `post_upsert_datapoints` interceptor. The (possibly modified) response returned by + `post_upsert_datapoints` will be passed to + `post_upsert_datapoints_with_metadata`. + """ + return response, metadata + + async def pre_get_location( + self, + request: locations_pb2.GetLocationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.GetLocationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_location + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + async def post_get_location( + self, response: locations_pb2.Location + ) -> locations_pb2.Location: + """Post-rpc interceptor for get_location + + Override in a subclass to manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. + """ + return response + + async def pre_list_locations( + self, + request: locations_pb2.ListLocationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.ListLocationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_locations + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + async def post_list_locations( + self, response: locations_pb2.ListLocationsResponse + ) -> locations_pb2.ListLocationsResponse: + """Post-rpc interceptor for list_locations + + Override in a subclass to manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. + """ + return response + + async def pre_get_iam_policy( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.GetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + async def post_get_iam_policy( + self, response: policy_pb2.Policy + ) -> policy_pb2.Policy: + """Post-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. + """ + return response + + async def pre_set_iam_policy( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.SetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + async def post_set_iam_policy( + self, response: policy_pb2.Policy + ) -> policy_pb2.Policy: + """Post-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. + """ + return response + + async def pre_test_iam_permissions( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.TestIamPermissionsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + async def post_test_iam_permissions( + self, response: iam_policy_pb2.TestIamPermissionsResponse + ) -> iam_policy_pb2.TestIamPermissionsResponse: + """Post-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. + """ + return response + + async def pre_cancel_operation( + self, + request: operations_pb2.CancelOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.CancelOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + async def post_cancel_operation(self, response: None) -> None: + """Post-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. + """ + return response + + async def pre_delete_operation( + self, + request: operations_pb2.DeleteOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.DeleteOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for delete_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + async def post_delete_operation(self, response: None) -> None: + """Post-rpc interceptor for delete_operation + + Override in a subclass to manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. + """ + return response + + async def pre_get_operation( + self, + request: operations_pb2.GetOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.GetOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + async def post_get_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for get_operation + + Override in a subclass to manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. + """ + return response + + async def pre_list_operations( + self, + request: operations_pb2.ListOperationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.ListOperationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_operations + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + async def post_list_operations( + self, response: operations_pb2.ListOperationsResponse + ) -> operations_pb2.ListOperationsResponse: + """Post-rpc interceptor for list_operations + + Override in a subclass to manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. + """ + return response + + async def pre_wait_operation( + self, + request: operations_pb2.WaitOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.WaitOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for wait_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the IndexService server. + """ + return request, metadata + + async def post_wait_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for wait_operation + + Override in a subclass to manipulate the response + after it is returned by the IndexService server but before + it is returned to user code. + """ + return response + + +@dataclasses.dataclass +class AsyncIndexServiceRestStub: + _session: AsyncAuthorizedSession + _host: str + _interceptor: AsyncIndexServiceRestInterceptor + + +class AsyncIndexServiceRestTransport(_BaseIndexServiceRestTransport): + """Asynchronous REST backend transport for IndexService. + + A service for creating and managing Vertex AI's Index + resources. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + """ + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials_async.Credentials] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + url_scheme: str = "https", + interceptor: Optional[AsyncIndexServiceRestInterceptor] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.aio.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + url_scheme (str): the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=False, + url_scheme=url_scheme, + api_audience=None, + ) + self._session = AsyncAuthorizedSession(self._credentials) # type: ignore + self._interceptor = interceptor or AsyncIndexServiceRestInterceptor() + self._wrap_with_kind = True + self._prep_wrapped_messages(client_info) + self._operations_client: Optional[operations_v1.AsyncOperationsRestClient] = ( + None + ) + + def _prep_wrapped_messages(self, client_info): + """Precompute the wrapped methods, overriding the base class method to use async wrappers.""" + self._wrapped_methods = { + self.create_index: self._wrap_method( + self.create_index, + default_timeout=None, + client_info=client_info, + ), + self.get_index: self._wrap_method( + self.get_index, + default_timeout=None, + client_info=client_info, + ), + self.list_indexes: self._wrap_method( + self.list_indexes, + default_timeout=None, + client_info=client_info, + ), + self.update_index: self._wrap_method( + self.update_index, + default_timeout=None, + client_info=client_info, + ), + self.delete_index: self._wrap_method( + self.delete_index, + default_timeout=None, + client_info=client_info, + ), + self.upsert_datapoints: self._wrap_method( + self.upsert_datapoints, + default_timeout=None, + client_info=client_info, + ), + self.remove_datapoints: self._wrap_method( + self.remove_datapoints, + default_timeout=None, + client_info=client_info, + ), + self.get_location: self._wrap_method( + self.get_location, + default_timeout=None, + client_info=client_info, + ), + self.list_locations: self._wrap_method( + self.list_locations, + default_timeout=None, + client_info=client_info, + ), + self.get_iam_policy: self._wrap_method( + self.get_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.set_iam_policy: self._wrap_method( + self.set_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.test_iam_permissions: self._wrap_method( + self.test_iam_permissions, + default_timeout=None, + client_info=client_info, + ), + self.cancel_operation: self._wrap_method( + self.cancel_operation, + default_timeout=None, + client_info=client_info, + ), + self.delete_operation: self._wrap_method( + self.delete_operation, + default_timeout=None, + client_info=client_info, + ), + self.get_operation: self._wrap_method( + self.get_operation, + default_timeout=None, + client_info=client_info, + ), + self.list_operations: self._wrap_method( + self.list_operations, + default_timeout=None, + client_info=client_info, + ), + self.wait_operation: self._wrap_method( + self.wait_operation, + default_timeout=None, + client_info=client_info, + ), + } + + def _wrap_method(self, func, *args, **kwargs): + if self._wrap_with_kind: # pragma: NO COVER + kwargs["kind"] = self.kind + return gapic_v1.method_async.wrap_method(func, *args, **kwargs) + + class _CreateIndex( + _BaseIndexServiceRestTransport._BaseCreateIndex, AsyncIndexServiceRestStub + ): + def __hash__(self): + return hash("AsyncIndexServiceRestTransport.CreateIndex") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: index_service.CreateIndexRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the create index method over HTTP. + + Args: + request (~.index_service.CreateIndexRequest): + The request object. Request message for + [IndexService.CreateIndex][google.cloud.aiplatform.v1.IndexService.CreateIndex]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseCreateIndex._get_http_options() + ) + + request, metadata = await self._interceptor.pre_create_index( + request, metadata + ) + transcoded_request = ( + _BaseIndexServiceRestTransport._BaseCreateIndex._get_transcoded_request( + http_options, request + ) + ) + + body = ( + _BaseIndexServiceRestTransport._BaseCreateIndex._get_request_body_json( + transcoded_request + ) + ) + + # Jsonify the query params + query_params = ( + _BaseIndexServiceRestTransport._BaseCreateIndex._get_query_params_json( + transcoded_request + ) + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.CreateIndex", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "CreateIndex", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncIndexServiceRestTransport._CreateIndex._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = operations_pb2.Operation() + pb_resp = resp + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_create_index(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_create_index_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceAsyncClient.create_index", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "CreateIndex", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _DeleteIndex( + _BaseIndexServiceRestTransport._BaseDeleteIndex, AsyncIndexServiceRestStub + ): + def __hash__(self): + return hash("AsyncIndexServiceRestTransport.DeleteIndex") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: index_service.DeleteIndexRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the delete index method over HTTP. + + Args: + request (~.index_service.DeleteIndexRequest): + The request object. Request message for + [IndexService.DeleteIndex][google.cloud.aiplatform.v1.IndexService.DeleteIndex]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseDeleteIndex._get_http_options() + ) + + request, metadata = await self._interceptor.pre_delete_index( + request, metadata + ) + transcoded_request = ( + _BaseIndexServiceRestTransport._BaseDeleteIndex._get_transcoded_request( + http_options, request + ) + ) + + # Jsonify the query params + query_params = ( + _BaseIndexServiceRestTransport._BaseDeleteIndex._get_query_params_json( + transcoded_request + ) + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.DeleteIndex", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "DeleteIndex", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncIndexServiceRestTransport._DeleteIndex._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = operations_pb2.Operation() + pb_resp = resp + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_delete_index(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_delete_index_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceAsyncClient.delete_index", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "DeleteIndex", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _GetIndex( + _BaseIndexServiceRestTransport._BaseGetIndex, AsyncIndexServiceRestStub + ): + def __hash__(self): + return hash("AsyncIndexServiceRestTransport.GetIndex") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: index_service.GetIndexRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> index.Index: + r"""Call the get index method over HTTP. + + Args: + request (~.index_service.GetIndexRequest): + The request object. Request message for + [IndexService.GetIndex][google.cloud.aiplatform.v1.IndexService.GetIndex] + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.index.Index: + A representation of a collection of + database items organized in a way that + allows for approximate nearest neighbor + (a.k.a ANN) algorithms search. + + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseGetIndex._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_index(request, metadata) + transcoded_request = ( + _BaseIndexServiceRestTransport._BaseGetIndex._get_transcoded_request( + http_options, request + ) + ) + + # Jsonify the query params + query_params = ( + _BaseIndexServiceRestTransport._BaseGetIndex._get_query_params_json( + transcoded_request + ) + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.GetIndex", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "GetIndex", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncIndexServiceRestTransport._GetIndex._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = index.Index() + pb_resp = index.Index.pb(resp) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_get_index(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_get_index_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = index.Index.to_json(response) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceAsyncClient.get_index", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "GetIndex", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _ListIndexes( + _BaseIndexServiceRestTransport._BaseListIndexes, AsyncIndexServiceRestStub + ): + def __hash__(self): + return hash("AsyncIndexServiceRestTransport.ListIndexes") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: index_service.ListIndexesRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> index_service.ListIndexesResponse: + r"""Call the list indexes method over HTTP. + + Args: + request (~.index_service.ListIndexesRequest): + The request object. Request message for + [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.index_service.ListIndexesResponse: + Response message for + [IndexService.ListIndexes][google.cloud.aiplatform.v1.IndexService.ListIndexes]. + + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseListIndexes._get_http_options() + ) + + request, metadata = await self._interceptor.pre_list_indexes( + request, metadata + ) + transcoded_request = ( + _BaseIndexServiceRestTransport._BaseListIndexes._get_transcoded_request( + http_options, request + ) + ) + + # Jsonify the query params + query_params = ( + _BaseIndexServiceRestTransport._BaseListIndexes._get_query_params_json( + transcoded_request + ) + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.ListIndexes", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "ListIndexes", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncIndexServiceRestTransport._ListIndexes._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = index_service.ListIndexesResponse() + pb_resp = index_service.ListIndexesResponse.pb(resp) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_list_indexes(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_list_indexes_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = index_service.ListIndexesResponse.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceAsyncClient.list_indexes", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "ListIndexes", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _RemoveDatapoints( + _BaseIndexServiceRestTransport._BaseRemoveDatapoints, AsyncIndexServiceRestStub + ): + def __hash__(self): + return hash("AsyncIndexServiceRestTransport.RemoveDatapoints") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: index_service.RemoveDatapointsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> index_service.RemoveDatapointsResponse: + r"""Call the remove datapoints method over HTTP. + + Args: + request (~.index_service.RemoveDatapointsRequest): + The request object. Request message for + [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints] + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.index_service.RemoveDatapointsResponse: + Response message for + [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1.IndexService.RemoveDatapoints] + + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseRemoveDatapoints._get_http_options() + ) + + request, metadata = await self._interceptor.pre_remove_datapoints( + request, metadata + ) + transcoded_request = _BaseIndexServiceRestTransport._BaseRemoveDatapoints._get_transcoded_request( + http_options, request + ) + + body = _BaseIndexServiceRestTransport._BaseRemoveDatapoints._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseIndexServiceRestTransport._BaseRemoveDatapoints._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.RemoveDatapoints", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "RemoveDatapoints", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncIndexServiceRestTransport._RemoveDatapoints._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = index_service.RemoveDatapointsResponse() + pb_resp = index_service.RemoveDatapointsResponse.pb(resp) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_remove_datapoints(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_remove_datapoints_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = index_service.RemoveDatapointsResponse.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceAsyncClient.remove_datapoints", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "RemoveDatapoints", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _UpdateIndex( + _BaseIndexServiceRestTransport._BaseUpdateIndex, AsyncIndexServiceRestStub + ): + def __hash__(self): + return hash("AsyncIndexServiceRestTransport.UpdateIndex") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: index_service.UpdateIndexRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the update index method over HTTP. + + Args: + request (~.index_service.UpdateIndexRequest): + The request object. Request message for + [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseUpdateIndex._get_http_options() + ) + + request, metadata = await self._interceptor.pre_update_index( + request, metadata + ) + transcoded_request = ( + _BaseIndexServiceRestTransport._BaseUpdateIndex._get_transcoded_request( + http_options, request + ) + ) + + body = ( + _BaseIndexServiceRestTransport._BaseUpdateIndex._get_request_body_json( + transcoded_request + ) + ) + + # Jsonify the query params + query_params = ( + _BaseIndexServiceRestTransport._BaseUpdateIndex._get_query_params_json( + transcoded_request + ) + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.UpdateIndex", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "UpdateIndex", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncIndexServiceRestTransport._UpdateIndex._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = operations_pb2.Operation() + pb_resp = resp + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_update_index(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_update_index_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceAsyncClient.update_index", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "UpdateIndex", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _UpsertDatapoints( + _BaseIndexServiceRestTransport._BaseUpsertDatapoints, AsyncIndexServiceRestStub + ): + def __hash__(self): + return hash("AsyncIndexServiceRestTransport.UpsertDatapoints") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: index_service.UpsertDatapointsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> index_service.UpsertDatapointsResponse: + r"""Call the upsert datapoints method over HTTP. + + Args: + request (~.index_service.UpsertDatapointsRequest): + The request object. Request message for + [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints] + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.index_service.UpsertDatapointsResponse: + Response message for + [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1.IndexService.UpsertDatapoints] + + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseUpsertDatapoints._get_http_options() + ) + + request, metadata = await self._interceptor.pre_upsert_datapoints( + request, metadata + ) + transcoded_request = _BaseIndexServiceRestTransport._BaseUpsertDatapoints._get_transcoded_request( + http_options, request + ) + + body = _BaseIndexServiceRestTransport._BaseUpsertDatapoints._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseIndexServiceRestTransport._BaseUpsertDatapoints._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.UpsertDatapoints", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "UpsertDatapoints", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncIndexServiceRestTransport._UpsertDatapoints._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = index_service.UpsertDatapointsResponse() + pb_resp = index_service.UpsertDatapointsResponse.pb(resp) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_upsert_datapoints(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_upsert_datapoints_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = index_service.UpsertDatapointsResponse.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceAsyncClient.upsert_datapoints", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "UpsertDatapoints", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + @property + def operations_client(self) -> AsyncOperationsRestClient: + """Create the async client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Only create a new client if we do not already have one. + if self._operations_client is None: + http_options: Dict[str, List[Dict[str, str]]] = { + "google.longrunning.Operations.CancelOperation": [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": 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"/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:wait", + }, + ], + } + + rest_transport = operations_v1.AsyncOperationsRestTransport( # type: ignore + host=self._host, + # use the credentials which are saved + credentials=self._credentials, # type: ignore + http_options=http_options, + path_prefix="v1", + ) + + self._operations_client = AsyncOperationsRestClient( + transport=rest_transport + ) + + # Return the client from cache. + return self._operations_client + + @property + def create_index( + self, + ) -> Callable[[index_service.CreateIndexRequest], operations_pb2.Operation]: + return self._CreateIndex(self._session, self._host, self._interceptor) # type: ignore + + @property + def delete_index( + self, + ) -> Callable[[index_service.DeleteIndexRequest], operations_pb2.Operation]: + return self._DeleteIndex(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_index(self) -> Callable[[index_service.GetIndexRequest], index.Index]: + return self._GetIndex(self._session, self._host, self._interceptor) # type: ignore + + @property + def list_indexes( + self, + ) -> Callable[ + [index_service.ListIndexesRequest], index_service.ListIndexesResponse + ]: + return self._ListIndexes(self._session, self._host, self._interceptor) # type: ignore + + @property + def remove_datapoints( + self, + ) -> Callable[ + [index_service.RemoveDatapointsRequest], index_service.RemoveDatapointsResponse + ]: + return self._RemoveDatapoints(self._session, self._host, self._interceptor) # type: ignore + + @property + def update_index( + self, + ) -> Callable[[index_service.UpdateIndexRequest], operations_pb2.Operation]: + return self._UpdateIndex(self._session, self._host, self._interceptor) # type: ignore + + @property + def upsert_datapoints( + self, + ) -> Callable[ + [index_service.UpsertDatapointsRequest], index_service.UpsertDatapointsResponse + ]: + return self._UpsertDatapoints(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_location(self): + return self._GetLocation(self._session, self._host, self._interceptor) # type: ignore + + class _GetLocation( + _BaseIndexServiceRestTransport._BaseGetLocation, AsyncIndexServiceRestStub + ): + def __hash__(self): + return hash("AsyncIndexServiceRestTransport.GetLocation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: locations_pb2.GetLocationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Call the get location method over HTTP. + + Args: + request (locations_pb2.GetLocationRequest): + The request object for GetLocation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.Location: Response from GetLocation method. + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseGetLocation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_location( + request, metadata + ) + transcoded_request = ( + _BaseIndexServiceRestTransport._BaseGetLocation._get_transcoded_request( + http_options, request + ) + ) + + # Jsonify the query params + query_params = ( + _BaseIndexServiceRestTransport._BaseGetLocation._get_query_params_json( + transcoded_request + ) + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "GetLocation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncIndexServiceRestTransport._GetLocation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = locations_pb2.Location() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_get_location(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceAsyncClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "GetLocation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_locations(self): + return self._ListLocations(self._session, self._host, self._interceptor) # type: ignore + + class _ListLocations( + _BaseIndexServiceRestTransport._BaseListLocations, AsyncIndexServiceRestStub + ): + def __hash__(self): + return hash("AsyncIndexServiceRestTransport.ListLocations") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: locations_pb2.ListLocationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Call the list locations method over HTTP. + + Args: + request (locations_pb2.ListLocationsRequest): + The request object for ListLocations method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.ListLocationsResponse: Response from ListLocations method. + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseListLocations._get_http_options() + ) + + request, metadata = await self._interceptor.pre_list_locations( + request, metadata + ) + transcoded_request = _BaseIndexServiceRestTransport._BaseListLocations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseIndexServiceRestTransport._BaseListLocations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "ListLocations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncIndexServiceRestTransport._ListLocations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = locations_pb2.ListLocationsResponse() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_list_locations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceAsyncClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "ListLocations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def get_iam_policy(self): + return self._GetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _GetIamPolicy( + _BaseIndexServiceRestTransport._BaseGetIamPolicy, AsyncIndexServiceRestStub + ): + def __hash__(self): + return hash("AsyncIndexServiceRestTransport.GetIamPolicy") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the get iam policy method over HTTP. + + Args: + request (iam_policy_pb2.GetIamPolicyRequest): + The request object for GetIamPolicy method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from GetIamPolicy method. + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseGetIamPolicy._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_iam_policy( + request, metadata + ) + transcoded_request = _BaseIndexServiceRestTransport._BaseGetIamPolicy._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = ( + _BaseIndexServiceRestTransport._BaseGetIamPolicy._get_query_params_json( + transcoded_request + ) + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "GetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncIndexServiceRestTransport._GetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_get_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceAsyncClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "GetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def set_iam_policy(self): + return self._SetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _SetIamPolicy( + _BaseIndexServiceRestTransport._BaseSetIamPolicy, AsyncIndexServiceRestStub + ): + def __hash__(self): + return hash("AsyncIndexServiceRestTransport.SetIamPolicy") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the set iam policy method over HTTP. + + Args: + request (iam_policy_pb2.SetIamPolicyRequest): + The request object for SetIamPolicy method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from SetIamPolicy method. + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseSetIamPolicy._get_http_options() + ) + + request, metadata = await self._interceptor.pre_set_iam_policy( + request, metadata + ) + transcoded_request = _BaseIndexServiceRestTransport._BaseSetIamPolicy._get_transcoded_request( + http_options, request + ) + + body = ( + _BaseIndexServiceRestTransport._BaseSetIamPolicy._get_request_body_json( + transcoded_request + ) + ) + + # Jsonify the query params + query_params = ( + _BaseIndexServiceRestTransport._BaseSetIamPolicy._get_query_params_json( + transcoded_request + ) + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "SetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncIndexServiceRestTransport._SetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_set_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceAsyncClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "SetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def test_iam_permissions(self): + return self._TestIamPermissions(self._session, self._host, self._interceptor) # type: ignore + + class _TestIamPermissions( + _BaseIndexServiceRestTransport._BaseTestIamPermissions, + AsyncIndexServiceRestStub, + ): + def __hash__(self): + return hash("AsyncIndexServiceRestTransport.TestIamPermissions") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Call the test iam permissions method over HTTP. + + Args: + request (iam_policy_pb2.TestIamPermissionsRequest): + The request object for TestIamPermissions method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + iam_policy_pb2.TestIamPermissionsResponse: Response from TestIamPermissions method. + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseTestIamPermissions._get_http_options() + ) + + request, metadata = await self._interceptor.pre_test_iam_permissions( + request, metadata + ) + transcoded_request = _BaseIndexServiceRestTransport._BaseTestIamPermissions._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseIndexServiceRestTransport._BaseTestIamPermissions._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "TestIamPermissions", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncIndexServiceRestTransport._TestIamPermissions._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = iam_policy_pb2.TestIamPermissionsResponse() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_test_iam_permissions(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceAsyncClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "TestIamPermissions", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def cancel_operation(self): + return self._CancelOperation(self._session, self._host, self._interceptor) # type: ignore + + class _CancelOperation( + _BaseIndexServiceRestTransport._BaseCancelOperation, AsyncIndexServiceRestStub + ): + def __hash__(self): + return hash("AsyncIndexServiceRestTransport.CancelOperation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.CancelOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the cancel operation method over HTTP. + + Args: + request (operations_pb2.CancelOperationRequest): + The request object for CancelOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseCancelOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_cancel_operation( + request, metadata + ) + transcoded_request = _BaseIndexServiceRestTransport._BaseCancelOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseIndexServiceRestTransport._BaseCancelOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.CancelOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "CancelOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncIndexServiceRestTransport._CancelOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + return await self._interceptor.post_cancel_operation(None) + + @property + def delete_operation(self): + return self._DeleteOperation(self._session, self._host, self._interceptor) # type: ignore + + class _DeleteOperation( + _BaseIndexServiceRestTransport._BaseDeleteOperation, AsyncIndexServiceRestStub + ): + def __hash__(self): + return hash("AsyncIndexServiceRestTransport.DeleteOperation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.DeleteOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the delete operation method over HTTP. + + Args: + request (operations_pb2.DeleteOperationRequest): + The request object for DeleteOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseDeleteOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_delete_operation( + request, metadata + ) + transcoded_request = _BaseIndexServiceRestTransport._BaseDeleteOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseIndexServiceRestTransport._BaseDeleteOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.DeleteOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "DeleteOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncIndexServiceRestTransport._DeleteOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + return await self._interceptor.post_delete_operation(None) + + @property + def get_operation(self): + return self._GetOperation(self._session, self._host, self._interceptor) # type: ignore + + class _GetOperation( + _BaseIndexServiceRestTransport._BaseGetOperation, AsyncIndexServiceRestStub + ): + def __hash__(self): + return hash("AsyncIndexServiceRestTransport.GetOperation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.GetOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the get operation method over HTTP. + + Args: + request (operations_pb2.GetOperationRequest): + The request object for GetOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from GetOperation method. + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseGetOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_operation( + request, metadata + ) + transcoded_request = _BaseIndexServiceRestTransport._BaseGetOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = ( + _BaseIndexServiceRestTransport._BaseGetOperation._get_query_params_json( + transcoded_request + ) + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "GetOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncIndexServiceRestTransport._GetOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_get_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceAsyncClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "GetOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_operations(self): + return self._ListOperations(self._session, self._host, self._interceptor) # type: ignore + + class _ListOperations( + _BaseIndexServiceRestTransport._BaseListOperations, AsyncIndexServiceRestStub + ): + def __hash__(self): + return hash("AsyncIndexServiceRestTransport.ListOperations") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.ListOperationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Call the list operations method over HTTP. + + Args: + request (operations_pb2.ListOperationsRequest): + The request object for ListOperations method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.ListOperationsResponse: Response from ListOperations method. + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseListOperations._get_http_options() + ) + + request, metadata = await self._interceptor.pre_list_operations( + request, metadata + ) + transcoded_request = _BaseIndexServiceRestTransport._BaseListOperations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseIndexServiceRestTransport._BaseListOperations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "ListOperations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncIndexServiceRestTransport._ListOperations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = operations_pb2.ListOperationsResponse() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_list_operations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceAsyncClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "ListOperations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def wait_operation(self): + return self._WaitOperation(self._session, self._host, self._interceptor) # type: ignore + + class _WaitOperation( + _BaseIndexServiceRestTransport._BaseWaitOperation, AsyncIndexServiceRestStub + ): + def __hash__(self): + return hash("AsyncIndexServiceRestTransport.WaitOperation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.WaitOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the wait operation method over HTTP. + + Args: + request (operations_pb2.WaitOperationRequest): + The request object for WaitOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from WaitOperation method. + """ + + http_options = ( + _BaseIndexServiceRestTransport._BaseWaitOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_wait_operation( + request, metadata + ) + transcoded_request = _BaseIndexServiceRestTransport._BaseWaitOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseIndexServiceRestTransport._BaseWaitOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.IndexServiceClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "WaitOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncIndexServiceRestTransport._WaitOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_wait_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.IndexServiceAsyncClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.IndexService", + "rpcName": "WaitOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def kind(self) -> str: + return "rest_asyncio" + + async def close(self): + await self._session.close() diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/transports/rest_base.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/transports/rest_base.py new file mode 100644 index 0000000000000000000000000000000000000000..30d09701db7e8b855180b0648c05b2febbfcbb6d --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/index_service/transports/rest_base.py @@ -0,0 +1,2840 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import json # type: ignore +from google.api_core import path_template +from google.api_core import gapic_v1 + +from google.protobuf import json_format +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore +from .base import IndexServiceTransport, DEFAULT_CLIENT_INFO + +import re +from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union + + +from google.cloud.aiplatform_v1.types import index +from google.cloud.aiplatform_v1.types import index_service +from google.longrunning import operations_pb2 # type: ignore + + +class _BaseIndexServiceRestTransport(IndexServiceTransport): + """Base REST backend transport for IndexService. + + Note: This class is not meant to be used directly. Use its sync and + async sub-classes instead. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + """ + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[Any] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + url_scheme: str = "https", + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[Any]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + url_scheme: the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + maybe_url_match = re.match("^(?Phttp(?:s)?://)?(?P.*)$", host) + if maybe_url_match is None: + raise ValueError( + f"Unexpected hostname structure: {host}" + ) # pragma: NO COVER + + url_match_items = maybe_url_match.groupdict() + + host = f"{url_scheme}://{host}" if not url_match_items["scheme"] else host + + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + class _BaseCreateIndex: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{parent=projects/*/locations/*}/indexes", + "body": "index", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = index_service.CreateIndexRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request["body"], use_integers_for_enums=True + ) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseIndexServiceRestTransport._BaseCreateIndex._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseDeleteIndex: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/indexes/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = index_service.DeleteIndexRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseIndexServiceRestTransport._BaseDeleteIndex._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseGetIndex: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexes/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = index_service.GetIndexRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseIndexServiceRestTransport._BaseGetIndex._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseListIndexes: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/v1/{parent=projects/*/locations/*}/indexes", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = index_service.ListIndexesRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseIndexServiceRestTransport._BaseListIndexes._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseRemoveDatapoints: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{index=projects/*/locations/*/indexes/*}:removeDatapoints", + "body": "*", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = index_service.RemoveDatapointsRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request["body"], use_integers_for_enums=True + ) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseIndexServiceRestTransport._BaseRemoveDatapoints._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseUpdateIndex: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "patch", + "uri": "/v1/{index.name=projects/*/locations/*/indexes/*}", + "body": "index", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = index_service.UpdateIndexRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request["body"], use_integers_for_enums=True + ) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseIndexServiceRestTransport._BaseUpdateIndex._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseUpsertDatapoints: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{index=projects/*/locations/*/indexes/*}:upsertDatapoints", + "body": "*", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = index_service.UpsertDatapointsRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request["body"], use_integers_for_enums=True + ) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseIndexServiceRestTransport._BaseUpsertDatapoints._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseGetLocation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseListLocations: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*}/locations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*}/locations", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseGetIamPolicy: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/models/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/models/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/endpoints/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/publishers/*/models/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureGroups/*}:getIamPolicy", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseSetIamPolicy: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/models/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/models/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/endpoints/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureGroups/*}:setIamPolicy", + "body": "*", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + body = json.dumps(transcoded_request["body"]) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseTestIamPermissions: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/models/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/models/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/endpoints/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureGroups/*}:testIamPermissions", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseCancelOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseDeleteOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensions/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseGetOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseListOperations: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/agents/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/apps/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensions/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/schedules/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/schedules/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=reasoningEngines/*/sessions/*}/operations", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseWaitOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:wait", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + +__all__ = ("_BaseIndexServiceRestTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/job_service/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/job_service/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..89e72b67947098e413a8f1853fa54da88681b275 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/job_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import JobServiceClient +from .async_client import JobServiceAsyncClient + +__all__ = ( + "JobServiceClient", + "JobServiceAsyncClient", +) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/job_service/async_client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/job_service/async_client.py new file mode 100644 index 0000000000000000000000000000000000000000..7692ce2451a6f3a1c959032d319c001b741f7042 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/job_service/async_client.py @@ -0,0 +1,5515 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging as std_logging +from collections import OrderedDict +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, +) + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.services.job_service import pagers +from google.cloud.aiplatform_v1.types import batch_prediction_job +from google.cloud.aiplatform_v1.types import ( + batch_prediction_job as gca_batch_prediction_job, +) +from google.cloud.aiplatform_v1.types import completion_stats +from google.cloud.aiplatform_v1.types import custom_job +from google.cloud.aiplatform_v1.types import custom_job as gca_custom_job +from google.cloud.aiplatform_v1.types import data_labeling_job +from google.cloud.aiplatform_v1.types import data_labeling_job as gca_data_labeling_job +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import explanation +from google.cloud.aiplatform_v1.types import hyperparameter_tuning_job +from google.cloud.aiplatform_v1.types import ( + hyperparameter_tuning_job as gca_hyperparameter_tuning_job, +) +from google.cloud.aiplatform_v1.types import io +from google.cloud.aiplatform_v1.types import job_service +from google.cloud.aiplatform_v1.types import job_state +from google.cloud.aiplatform_v1.types import machine_resources +from google.cloud.aiplatform_v1.types import manual_batch_tuning_parameters +from google.cloud.aiplatform_v1.types import model_deployment_monitoring_job +from google.cloud.aiplatform_v1.types import ( + model_deployment_monitoring_job as gca_model_deployment_monitoring_job, +) +from google.cloud.aiplatform_v1.types import model_monitoring +from google.cloud.aiplatform_v1.types import nas_job +from google.cloud.aiplatform_v1.types import nas_job as gca_nas_job +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.aiplatform_v1.types import study +from google.cloud.aiplatform_v1.types import unmanaged_container_model +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.duration_pb2 as duration_pb2 # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.struct_pb2 as struct_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +import google.rpc.status_pb2 as status_pb2 # type: ignore +import google.type.money_pb2 as money_pb2 # type: ignore +from .transports.base import JobServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import JobServiceGrpcAsyncIOTransport +from .client import JobServiceClient + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class JobServiceAsyncClient: + """A service for creating and managing Vertex AI's jobs.""" + + _client: JobServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = JobServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = JobServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = JobServiceClient._DEFAULT_ENDPOINT_TEMPLATE + _DEFAULT_UNIVERSE = JobServiceClient._DEFAULT_UNIVERSE + + batch_prediction_job_path = staticmethod(JobServiceClient.batch_prediction_job_path) + parse_batch_prediction_job_path = staticmethod( + JobServiceClient.parse_batch_prediction_job_path + ) + context_path = staticmethod(JobServiceClient.context_path) + parse_context_path = staticmethod(JobServiceClient.parse_context_path) + custom_job_path = staticmethod(JobServiceClient.custom_job_path) + parse_custom_job_path = staticmethod(JobServiceClient.parse_custom_job_path) + data_labeling_job_path = staticmethod(JobServiceClient.data_labeling_job_path) + parse_data_labeling_job_path = staticmethod( + JobServiceClient.parse_data_labeling_job_path + ) + dataset_path = staticmethod(JobServiceClient.dataset_path) + parse_dataset_path = staticmethod(JobServiceClient.parse_dataset_path) + endpoint_path = staticmethod(JobServiceClient.endpoint_path) + parse_endpoint_path = staticmethod(JobServiceClient.parse_endpoint_path) + hyperparameter_tuning_job_path = staticmethod( + JobServiceClient.hyperparameter_tuning_job_path + ) + parse_hyperparameter_tuning_job_path = staticmethod( + JobServiceClient.parse_hyperparameter_tuning_job_path + ) + model_path = staticmethod(JobServiceClient.model_path) + parse_model_path = staticmethod(JobServiceClient.parse_model_path) + model_deployment_monitoring_job_path = staticmethod( + JobServiceClient.model_deployment_monitoring_job_path + ) + parse_model_deployment_monitoring_job_path = staticmethod( + JobServiceClient.parse_model_deployment_monitoring_job_path + ) + nas_job_path = staticmethod(JobServiceClient.nas_job_path) + parse_nas_job_path = staticmethod(JobServiceClient.parse_nas_job_path) + nas_trial_detail_path = staticmethod(JobServiceClient.nas_trial_detail_path) + parse_nas_trial_detail_path = staticmethod( + JobServiceClient.parse_nas_trial_detail_path + ) + network_path = staticmethod(JobServiceClient.network_path) + parse_network_path = staticmethod(JobServiceClient.parse_network_path) + network_attachment_path = staticmethod(JobServiceClient.network_attachment_path) + parse_network_attachment_path = staticmethod( + JobServiceClient.parse_network_attachment_path + ) + notification_channel_path = staticmethod(JobServiceClient.notification_channel_path) + parse_notification_channel_path = staticmethod( + JobServiceClient.parse_notification_channel_path + ) + persistent_resource_path = staticmethod(JobServiceClient.persistent_resource_path) + parse_persistent_resource_path = staticmethod( + JobServiceClient.parse_persistent_resource_path + ) + reservation_path = staticmethod(JobServiceClient.reservation_path) + parse_reservation_path = staticmethod(JobServiceClient.parse_reservation_path) + tensorboard_path = staticmethod(JobServiceClient.tensorboard_path) + parse_tensorboard_path = staticmethod(JobServiceClient.parse_tensorboard_path) + trial_path = staticmethod(JobServiceClient.trial_path) + parse_trial_path = staticmethod(JobServiceClient.parse_trial_path) + common_billing_account_path = staticmethod( + JobServiceClient.common_billing_account_path + ) + parse_common_billing_account_path = staticmethod( + JobServiceClient.parse_common_billing_account_path + ) + common_folder_path = staticmethod(JobServiceClient.common_folder_path) + parse_common_folder_path = staticmethod(JobServiceClient.parse_common_folder_path) + common_organization_path = staticmethod(JobServiceClient.common_organization_path) + parse_common_organization_path = staticmethod( + JobServiceClient.parse_common_organization_path + ) + common_project_path = staticmethod(JobServiceClient.common_project_path) + parse_common_project_path = staticmethod(JobServiceClient.parse_common_project_path) + common_location_path = staticmethod(JobServiceClient.common_location_path) + parse_common_location_path = staticmethod( + JobServiceClient.parse_common_location_path + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + JobServiceAsyncClient: The constructed client. + """ + sa_info_func = ( + JobServiceClient.from_service_account_info.__func__ # type: ignore + ) + return sa_info_func(JobServiceAsyncClient, info, *args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + JobServiceAsyncClient: The constructed client. + """ + sa_file_func = ( + JobServiceClient.from_service_account_file.__func__ # type: ignore + ) + return sa_file_func(JobServiceAsyncClient, filename, *args, **kwargs) + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[ClientOptions] = None + ): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return JobServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> JobServiceTransport: + """Returns the transport used by the client instance. + + Returns: + JobServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = JobServiceClient.get_transport_class + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[str, JobServiceTransport, Callable[..., JobServiceTransport]] + ] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the job service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,JobServiceTransport,Callable[..., JobServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport to use. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the JobServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = JobServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.JobServiceAsyncClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.JobService", + "universeDomain": getattr( + self._client._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._client._transport._credentials).__module__}.{type(self._client._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, "get_cred_info", lambda: None + )(), + } + if hasattr(self._client._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.JobService", + "credentialsType": None, + } + ), + ) + + async def create_custom_job( + self, + request: Optional[Union[job_service.CreateCustomJobRequest, dict]] = None, + *, + parent: Optional[str] = None, + custom_job: Optional[gca_custom_job.CustomJob] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_custom_job.CustomJob: + r"""Creates a CustomJob. A created CustomJob right away + will be attempted to be run. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_custom_job(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + custom_job = aiplatform_v1.CustomJob() + custom_job.display_name = "display_name_value" + custom_job.job_spec.worker_pool_specs.container_spec.image_uri = "image_uri_value" + + request = aiplatform_v1.CreateCustomJobRequest( + parent="parent_value", + custom_job=custom_job, + ) + + # Make the request + response = await client.create_custom_job(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateCustomJobRequest, dict]]): + The request object. Request message for + [JobService.CreateCustomJob][google.cloud.aiplatform.v1.JobService.CreateCustomJob]. + parent (:class:`str`): + Required. The resource name of the Location to create + the CustomJob in. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + custom_job (:class:`google.cloud.aiplatform_v1.types.CustomJob`): + Required. The CustomJob to create. + This corresponds to the ``custom_job`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.CustomJob: + Represents a job that runs custom + workloads such as a Docker container or + a Python package. A CustomJob can have + multiple worker pools and each worker + pool can have its own machine and input + spec. A CustomJob will be cleaned up + once the job enters terminal state + (failed or succeeded). + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, custom_job] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.CreateCustomJobRequest): + request = job_service.CreateCustomJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if custom_job is not None: + request.custom_job = custom_job + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_custom_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_custom_job( + self, + request: Optional[Union[job_service.GetCustomJobRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> custom_job.CustomJob: + r"""Gets a CustomJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_custom_job(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetCustomJobRequest( + name="name_value", + ) + + # Make the request + response = await client.get_custom_job(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetCustomJobRequest, dict]]): + The request object. Request message for + [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob]. + name (:class:`str`): + Required. The name of the CustomJob resource. Format: + ``projects/{project}/locations/{location}/customJobs/{custom_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.CustomJob: + Represents a job that runs custom + workloads such as a Docker container or + a Python package. A CustomJob can have + multiple worker pools and each worker + pool can have its own machine and input + spec. A CustomJob will be cleaned up + once the job enters terminal state + (failed or succeeded). + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.GetCustomJobRequest): + request = job_service.GetCustomJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_custom_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_custom_jobs( + self, + request: Optional[Union[job_service.ListCustomJobsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListCustomJobsAsyncPager: + r"""Lists CustomJobs in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_custom_jobs(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListCustomJobsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_custom_jobs(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListCustomJobsRequest, dict]]): + The request object. Request message for + [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]. + parent (:class:`str`): + Required. The resource name of the Location to list the + CustomJobs from. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.job_service.pagers.ListCustomJobsAsyncPager: + Response message for + [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs] + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.ListCustomJobsRequest): + request = job_service.ListCustomJobsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_custom_jobs + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListCustomJobsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_custom_job( + self, + request: Optional[Union[job_service.DeleteCustomJobRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a CustomJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_custom_job(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteCustomJobRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_custom_job(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteCustomJobRequest, dict]]): + The request object. Request message for + [JobService.DeleteCustomJob][google.cloud.aiplatform.v1.JobService.DeleteCustomJob]. + name (:class:`str`): + Required. The name of the CustomJob resource to be + deleted. Format: + ``projects/{project}/locations/{location}/customJobs/{custom_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.DeleteCustomJobRequest): + request = job_service.DeleteCustomJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_custom_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def cancel_custom_job( + self, + request: Optional[Union[job_service.CancelCustomJobRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Cancels a CustomJob. Starts asynchronous cancellation on the + CustomJob. The server makes a best effort to cancel the job, but + success is not guaranteed. Clients can use + [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob] + or other methods to check whether the cancellation succeeded or + whether the job completed despite cancellation. On successful + cancellation, the CustomJob is not deleted; instead it becomes a + job with a + [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] + value with a [google.rpc.Status.code][google.rpc.Status.code] of + 1, corresponding to ``Code.CANCELLED``, and + [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is + set to ``CANCELLED``. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_cancel_custom_job(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.CancelCustomJobRequest( + name="name_value", + ) + + # Make the request + await client.cancel_custom_job(request=request) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CancelCustomJobRequest, dict]]): + The request object. Request message for + [JobService.CancelCustomJob][google.cloud.aiplatform.v1.JobService.CancelCustomJob]. + name (:class:`str`): + Required. The name of the CustomJob to cancel. Format: + ``projects/{project}/locations/{location}/customJobs/{custom_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.CancelCustomJobRequest): + request = job_service.CancelCustomJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.cancel_custom_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def create_data_labeling_job( + self, + request: Optional[Union[job_service.CreateDataLabelingJobRequest, dict]] = None, + *, + parent: Optional[str] = None, + data_labeling_job: Optional[gca_data_labeling_job.DataLabelingJob] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_data_labeling_job.DataLabelingJob: + r"""Creates a DataLabelingJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_data_labeling_job(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + data_labeling_job = aiplatform_v1.DataLabelingJob() + data_labeling_job.display_name = "display_name_value" + data_labeling_job.datasets = ['datasets_value1', 'datasets_value2'] + data_labeling_job.labeler_count = 1375 + data_labeling_job.instruction_uri = "instruction_uri_value" + data_labeling_job.inputs_schema_uri = "inputs_schema_uri_value" + data_labeling_job.inputs.null_value = "NULL_VALUE" + + request = aiplatform_v1.CreateDataLabelingJobRequest( + parent="parent_value", + data_labeling_job=data_labeling_job, + ) + + # Make the request + response = await client.create_data_labeling_job(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateDataLabelingJobRequest, dict]]): + The request object. Request message for + [JobService.CreateDataLabelingJob][google.cloud.aiplatform.v1.JobService.CreateDataLabelingJob]. + parent (:class:`str`): + Required. The parent of the DataLabelingJob. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + data_labeling_job (:class:`google.cloud.aiplatform_v1.types.DataLabelingJob`): + Required. The DataLabelingJob to + create. + + This corresponds to the ``data_labeling_job`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.DataLabelingJob: + DataLabelingJob is used to trigger a + human labeling job on unlabeled data + from the following Dataset: + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, data_labeling_job] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.CreateDataLabelingJobRequest): + request = job_service.CreateDataLabelingJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if data_labeling_job is not None: + request.data_labeling_job = data_labeling_job + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_data_labeling_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_data_labeling_job( + self, + request: Optional[Union[job_service.GetDataLabelingJobRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> data_labeling_job.DataLabelingJob: + r"""Gets a DataLabelingJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_data_labeling_job(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetDataLabelingJobRequest( + name="name_value", + ) + + # Make the request + response = await client.get_data_labeling_job(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetDataLabelingJobRequest, dict]]): + The request object. Request message for + [JobService.GetDataLabelingJob][google.cloud.aiplatform.v1.JobService.GetDataLabelingJob]. + name (:class:`str`): + Required. The name of the DataLabelingJob. Format: + ``projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.DataLabelingJob: + DataLabelingJob is used to trigger a + human labeling job on unlabeled data + from the following Dataset: + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.GetDataLabelingJobRequest): + request = job_service.GetDataLabelingJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_data_labeling_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_data_labeling_jobs( + self, + request: Optional[Union[job_service.ListDataLabelingJobsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListDataLabelingJobsAsyncPager: + r"""Lists DataLabelingJobs in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_data_labeling_jobs(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListDataLabelingJobsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_data_labeling_jobs(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListDataLabelingJobsRequest, dict]]): + The request object. Request message for + [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs]. + parent (:class:`str`): + Required. The parent of the DataLabelingJob. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.job_service.pagers.ListDataLabelingJobsAsyncPager: + Response message for + [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.ListDataLabelingJobsRequest): + request = job_service.ListDataLabelingJobsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_data_labeling_jobs + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListDataLabelingJobsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_data_labeling_job( + self, + request: Optional[Union[job_service.DeleteDataLabelingJobRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a DataLabelingJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_data_labeling_job(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteDataLabelingJobRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_data_labeling_job(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteDataLabelingJobRequest, dict]]): + The request object. Request message for + [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1.JobService.DeleteDataLabelingJob]. + name (:class:`str`): + Required. The name of the DataLabelingJob to be deleted. + Format: + ``projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.DeleteDataLabelingJobRequest): + request = job_service.DeleteDataLabelingJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_data_labeling_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def cancel_data_labeling_job( + self, + request: Optional[Union[job_service.CancelDataLabelingJobRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Cancels a DataLabelingJob. Success of cancellation is + not guaranteed. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_cancel_data_labeling_job(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.CancelDataLabelingJobRequest( + name="name_value", + ) + + # Make the request + await client.cancel_data_labeling_job(request=request) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CancelDataLabelingJobRequest, dict]]): + The request object. Request message for + [JobService.CancelDataLabelingJob][google.cloud.aiplatform.v1.JobService.CancelDataLabelingJob]. + name (:class:`str`): + Required. The name of the DataLabelingJob. Format: + ``projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.CancelDataLabelingJobRequest): + request = job_service.CancelDataLabelingJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.cancel_data_labeling_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def create_hyperparameter_tuning_job( + self, + request: Optional[ + Union[job_service.CreateHyperparameterTuningJobRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + hyperparameter_tuning_job: Optional[ + gca_hyperparameter_tuning_job.HyperparameterTuningJob + ] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_hyperparameter_tuning_job.HyperparameterTuningJob: + r"""Creates a HyperparameterTuningJob + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_hyperparameter_tuning_job(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + hyperparameter_tuning_job = aiplatform_v1.HyperparameterTuningJob() + hyperparameter_tuning_job.display_name = "display_name_value" + hyperparameter_tuning_job.study_spec.metrics.metric_id = "metric_id_value" + hyperparameter_tuning_job.study_spec.metrics.goal = "MINIMIZE" + hyperparameter_tuning_job.study_spec.parameters.double_value_spec.min_value = 0.96 + hyperparameter_tuning_job.study_spec.parameters.double_value_spec.max_value = 0.962 + hyperparameter_tuning_job.study_spec.parameters.parameter_id = "parameter_id_value" + hyperparameter_tuning_job.max_trial_count = 1609 + hyperparameter_tuning_job.parallel_trial_count = 2128 + hyperparameter_tuning_job.trial_job_spec.worker_pool_specs.container_spec.image_uri = "image_uri_value" + + request = aiplatform_v1.CreateHyperparameterTuningJobRequest( + parent="parent_value", + hyperparameter_tuning_job=hyperparameter_tuning_job, + ) + + # Make the request + response = await client.create_hyperparameter_tuning_job(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateHyperparameterTuningJobRequest, dict]]): + The request object. Request message for + [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CreateHyperparameterTuningJob]. + parent (:class:`str`): + Required. The resource name of the Location to create + the HyperparameterTuningJob in. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + hyperparameter_tuning_job (:class:`google.cloud.aiplatform_v1.types.HyperparameterTuningJob`): + Required. The HyperparameterTuningJob + to create. + + This corresponds to the ``hyperparameter_tuning_job`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.HyperparameterTuningJob: + Represents a HyperparameterTuningJob. + A HyperparameterTuningJob has a Study + specification and multiple CustomJobs + with identical CustomJob specification. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, hyperparameter_tuning_job] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.CreateHyperparameterTuningJobRequest): + request = job_service.CreateHyperparameterTuningJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if hyperparameter_tuning_job is not None: + request.hyperparameter_tuning_job = hyperparameter_tuning_job + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_hyperparameter_tuning_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_hyperparameter_tuning_job( + self, + request: Optional[ + Union[job_service.GetHyperparameterTuningJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> hyperparameter_tuning_job.HyperparameterTuningJob: + r"""Gets a HyperparameterTuningJob + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_hyperparameter_tuning_job(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetHyperparameterTuningJobRequest( + name="name_value", + ) + + # Make the request + response = await client.get_hyperparameter_tuning_job(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetHyperparameterTuningJobRequest, dict]]): + The request object. Request message for + [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob]. + name (:class:`str`): + Required. The name of the HyperparameterTuningJob + resource. Format: + ``projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.HyperparameterTuningJob: + Represents a HyperparameterTuningJob. + A HyperparameterTuningJob has a Study + specification and multiple CustomJobs + with identical CustomJob specification. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.GetHyperparameterTuningJobRequest): + request = job_service.GetHyperparameterTuningJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_hyperparameter_tuning_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_hyperparameter_tuning_jobs( + self, + request: Optional[ + Union[job_service.ListHyperparameterTuningJobsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListHyperparameterTuningJobsAsyncPager: + r"""Lists HyperparameterTuningJobs in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_hyperparameter_tuning_jobs(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListHyperparameterTuningJobsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_hyperparameter_tuning_jobs(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListHyperparameterTuningJobsRequest, dict]]): + The request object. Request message for + [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]. + parent (:class:`str`): + Required. The resource name of the Location to list the + HyperparameterTuningJobs from. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.job_service.pagers.ListHyperparameterTuningJobsAsyncPager: + Response message for + [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs] + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.ListHyperparameterTuningJobsRequest): + request = job_service.ListHyperparameterTuningJobsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_hyperparameter_tuning_jobs + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListHyperparameterTuningJobsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_hyperparameter_tuning_job( + self, + request: Optional[ + Union[job_service.DeleteHyperparameterTuningJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a HyperparameterTuningJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_hyperparameter_tuning_job(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteHyperparameterTuningJobRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_hyperparameter_tuning_job(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteHyperparameterTuningJobRequest, dict]]): + The request object. Request message for + [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.DeleteHyperparameterTuningJob]. + name (:class:`str`): + Required. The name of the HyperparameterTuningJob + resource to be deleted. Format: + ``projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.DeleteHyperparameterTuningJobRequest): + request = job_service.DeleteHyperparameterTuningJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_hyperparameter_tuning_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def cancel_hyperparameter_tuning_job( + self, + request: Optional[ + Union[job_service.CancelHyperparameterTuningJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Cancels a HyperparameterTuningJob. Starts asynchronous + cancellation on the HyperparameterTuningJob. The server makes a + best effort to cancel the job, but success is not guaranteed. + Clients can use + [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob] + or other methods to check whether the cancellation succeeded or + whether the job completed despite cancellation. On successful + cancellation, the HyperparameterTuningJob is not deleted; + instead it becomes a job with a + [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error] + value with a [google.rpc.Status.code][google.rpc.Status.code] of + 1, corresponding to ``Code.CANCELLED``, and + [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state] + is set to ``CANCELLED``. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_cancel_hyperparameter_tuning_job(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.CancelHyperparameterTuningJobRequest( + name="name_value", + ) + + # Make the request + await client.cancel_hyperparameter_tuning_job(request=request) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CancelHyperparameterTuningJobRequest, dict]]): + The request object. Request message for + [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CancelHyperparameterTuningJob]. + name (:class:`str`): + Required. The name of the HyperparameterTuningJob to + cancel. Format: + ``projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.CancelHyperparameterTuningJobRequest): + request = job_service.CancelHyperparameterTuningJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.cancel_hyperparameter_tuning_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def create_nas_job( + self, + request: Optional[Union[job_service.CreateNasJobRequest, dict]] = None, + *, + parent: Optional[str] = None, + nas_job: Optional[gca_nas_job.NasJob] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_nas_job.NasJob: + r"""Creates a NasJob + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_nas_job(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + nas_job = aiplatform_v1.NasJob() + nas_job.display_name = "display_name_value" + nas_job.nas_job_spec.multi_trial_algorithm_spec.search_trial_spec.search_trial_job_spec.worker_pool_specs.container_spec.image_uri = "image_uri_value" + nas_job.nas_job_spec.multi_trial_algorithm_spec.search_trial_spec.max_trial_count = 1609 + nas_job.nas_job_spec.multi_trial_algorithm_spec.search_trial_spec.max_parallel_trial_count = 2549 + + request = aiplatform_v1.CreateNasJobRequest( + parent="parent_value", + nas_job=nas_job, + ) + + # Make the request + response = await client.create_nas_job(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateNasJobRequest, dict]]): + The request object. Request message for + [JobService.CreateNasJob][google.cloud.aiplatform.v1.JobService.CreateNasJob]. + parent (:class:`str`): + Required. The resource name of the Location to create + the NasJob in. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + nas_job (:class:`google.cloud.aiplatform_v1.types.NasJob`): + Required. The NasJob to create. + This corresponds to the ``nas_job`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.NasJob: + Represents a Neural Architecture + Search (NAS) job. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, nas_job] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.CreateNasJobRequest): + request = job_service.CreateNasJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if nas_job is not None: + request.nas_job = nas_job + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_nas_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_nas_job( + self, + request: Optional[Union[job_service.GetNasJobRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> nas_job.NasJob: + r"""Gets a NasJob + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_nas_job(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetNasJobRequest( + name="name_value", + ) + + # Make the request + response = await client.get_nas_job(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetNasJobRequest, dict]]): + The request object. Request message for + [JobService.GetNasJob][google.cloud.aiplatform.v1.JobService.GetNasJob]. + name (:class:`str`): + Required. The name of the NasJob resource. Format: + ``projects/{project}/locations/{location}/nasJobs/{nas_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.NasJob: + Represents a Neural Architecture + Search (NAS) job. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.GetNasJobRequest): + request = job_service.GetNasJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_nas_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_nas_jobs( + self, + request: Optional[Union[job_service.ListNasJobsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListNasJobsAsyncPager: + r"""Lists NasJobs in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_nas_jobs(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListNasJobsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_nas_jobs(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListNasJobsRequest, dict]]): + The request object. Request message for + [JobService.ListNasJobs][google.cloud.aiplatform.v1.JobService.ListNasJobs]. + parent (:class:`str`): + Required. The resource name of the Location to list the + NasJobs from. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.job_service.pagers.ListNasJobsAsyncPager: + Response message for + [JobService.ListNasJobs][google.cloud.aiplatform.v1.JobService.ListNasJobs] + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.ListNasJobsRequest): + request = job_service.ListNasJobsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_nas_jobs + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListNasJobsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_nas_job( + self, + request: Optional[Union[job_service.DeleteNasJobRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a NasJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_nas_job(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteNasJobRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_nas_job(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteNasJobRequest, dict]]): + The request object. Request message for + [JobService.DeleteNasJob][google.cloud.aiplatform.v1.JobService.DeleteNasJob]. + name (:class:`str`): + Required. The name of the NasJob resource to be deleted. + Format: + ``projects/{project}/locations/{location}/nasJobs/{nas_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.DeleteNasJobRequest): + request = job_service.DeleteNasJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_nas_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def cancel_nas_job( + self, + request: Optional[Union[job_service.CancelNasJobRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Cancels a NasJob. Starts asynchronous cancellation on the + NasJob. The server makes a best effort to cancel the job, but + success is not guaranteed. Clients can use + [JobService.GetNasJob][google.cloud.aiplatform.v1.JobService.GetNasJob] + or other methods to check whether the cancellation succeeded or + whether the job completed despite cancellation. On successful + cancellation, the NasJob is not deleted; instead it becomes a + job with a + [NasJob.error][google.cloud.aiplatform.v1.NasJob.error] value + with a [google.rpc.Status.code][google.rpc.Status.code] of 1, + corresponding to ``Code.CANCELLED``, and + [NasJob.state][google.cloud.aiplatform.v1.NasJob.state] is set + to ``CANCELLED``. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_cancel_nas_job(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.CancelNasJobRequest( + name="name_value", + ) + + # Make the request + await client.cancel_nas_job(request=request) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CancelNasJobRequest, dict]]): + The request object. Request message for + [JobService.CancelNasJob][google.cloud.aiplatform.v1.JobService.CancelNasJob]. + name (:class:`str`): + Required. The name of the NasJob to cancel. Format: + ``projects/{project}/locations/{location}/nasJobs/{nas_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.CancelNasJobRequest): + request = job_service.CancelNasJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.cancel_nas_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def get_nas_trial_detail( + self, + request: Optional[Union[job_service.GetNasTrialDetailRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> nas_job.NasTrialDetail: + r"""Gets a NasTrialDetail. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_nas_trial_detail(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetNasTrialDetailRequest( + name="name_value", + ) + + # Make the request + response = await client.get_nas_trial_detail(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetNasTrialDetailRequest, dict]]): + The request object. Request message for + [JobService.GetNasTrialDetail][google.cloud.aiplatform.v1.JobService.GetNasTrialDetail]. + name (:class:`str`): + Required. The name of the NasTrialDetail resource. + Format: + ``projects/{project}/locations/{location}/nasJobs/{nas_job}/nasTrialDetails/{nas_trial_detail}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.NasTrialDetail: + Represents a NasTrial details along + with its parameters. If there is a + corresponding train NasTrial, the train + NasTrial is also returned. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.GetNasTrialDetailRequest): + request = job_service.GetNasTrialDetailRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_nas_trial_detail + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_nas_trial_details( + self, + request: Optional[Union[job_service.ListNasTrialDetailsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListNasTrialDetailsAsyncPager: + r"""List top NasTrialDetails of a NasJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_nas_trial_details(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListNasTrialDetailsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_nas_trial_details(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListNasTrialDetailsRequest, dict]]): + The request object. Request message for + [JobService.ListNasTrialDetails][google.cloud.aiplatform.v1.JobService.ListNasTrialDetails]. + parent (:class:`str`): + Required. The name of the NasJob resource. Format: + ``projects/{project}/locations/{location}/nasJobs/{nas_job}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.job_service.pagers.ListNasTrialDetailsAsyncPager: + Response message for + [JobService.ListNasTrialDetails][google.cloud.aiplatform.v1.JobService.ListNasTrialDetails] + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.ListNasTrialDetailsRequest): + request = job_service.ListNasTrialDetailsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_nas_trial_details + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListNasTrialDetailsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def create_batch_prediction_job( + self, + request: Optional[ + Union[job_service.CreateBatchPredictionJobRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + batch_prediction_job: Optional[ + gca_batch_prediction_job.BatchPredictionJob + ] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_batch_prediction_job.BatchPredictionJob: + r"""Creates a BatchPredictionJob. A BatchPredictionJob + once created will right away be attempted to start. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_batch_prediction_job(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + batch_prediction_job = aiplatform_v1.BatchPredictionJob() + batch_prediction_job.display_name = "display_name_value" + batch_prediction_job.input_config.gcs_source.uris = ['uris_value1', 'uris_value2'] + batch_prediction_job.input_config.instances_format = "instances_format_value" + batch_prediction_job.output_config.gcs_destination.output_uri_prefix = "output_uri_prefix_value" + batch_prediction_job.output_config.predictions_format = "predictions_format_value" + + request = aiplatform_v1.CreateBatchPredictionJobRequest( + parent="parent_value", + batch_prediction_job=batch_prediction_job, + ) + + # Make the request + response = await client.create_batch_prediction_job(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateBatchPredictionJobRequest, dict]]): + The request object. Request message for + [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CreateBatchPredictionJob]. + parent (:class:`str`): + Required. The resource name of the Location to create + the BatchPredictionJob in. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + batch_prediction_job (:class:`google.cloud.aiplatform_v1.types.BatchPredictionJob`): + Required. The BatchPredictionJob to + create. + + This corresponds to the ``batch_prediction_job`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.BatchPredictionJob: + A job that uses a + [Model][google.cloud.aiplatform.v1.BatchPredictionJob.model] + to produce predictions on multiple [input + instances][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. + If predictions for significant portion of the + instances fail, the job may finish without attempting + predictions for all remaining instances. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, batch_prediction_job] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.CreateBatchPredictionJobRequest): + request = job_service.CreateBatchPredictionJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if batch_prediction_job is not None: + request.batch_prediction_job = batch_prediction_job + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_batch_prediction_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_batch_prediction_job( + self, + request: Optional[Union[job_service.GetBatchPredictionJobRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> batch_prediction_job.BatchPredictionJob: + r"""Gets a BatchPredictionJob + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_batch_prediction_job(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetBatchPredictionJobRequest( + name="name_value", + ) + + # Make the request + response = await client.get_batch_prediction_job(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetBatchPredictionJobRequest, dict]]): + The request object. Request message for + [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob]. + name (:class:`str`): + Required. The name of the BatchPredictionJob resource. + Format: + ``projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.BatchPredictionJob: + A job that uses a + [Model][google.cloud.aiplatform.v1.BatchPredictionJob.model] + to produce predictions on multiple [input + instances][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. + If predictions for significant portion of the + instances fail, the job may finish without attempting + predictions for all remaining instances. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.GetBatchPredictionJobRequest): + request = job_service.GetBatchPredictionJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_batch_prediction_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_batch_prediction_jobs( + self, + request: Optional[ + Union[job_service.ListBatchPredictionJobsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListBatchPredictionJobsAsyncPager: + r"""Lists BatchPredictionJobs in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_batch_prediction_jobs(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListBatchPredictionJobsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_batch_prediction_jobs(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListBatchPredictionJobsRequest, dict]]): + The request object. Request message for + [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]. + parent (:class:`str`): + Required. The resource name of the Location to list the + BatchPredictionJobs from. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.job_service.pagers.ListBatchPredictionJobsAsyncPager: + Response message for + [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs] + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.ListBatchPredictionJobsRequest): + request = job_service.ListBatchPredictionJobsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_batch_prediction_jobs + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListBatchPredictionJobsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_batch_prediction_job( + self, + request: Optional[ + Union[job_service.DeleteBatchPredictionJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a BatchPredictionJob. Can only be called on + jobs that already finished. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_batch_prediction_job(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteBatchPredictionJobRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_batch_prediction_job(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteBatchPredictionJobRequest, dict]]): + The request object. Request message for + [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1.JobService.DeleteBatchPredictionJob]. + name (:class:`str`): + Required. The name of the BatchPredictionJob resource to + be deleted. Format: + ``projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.DeleteBatchPredictionJobRequest): + request = job_service.DeleteBatchPredictionJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_batch_prediction_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def cancel_batch_prediction_job( + self, + request: Optional[ + Union[job_service.CancelBatchPredictionJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Cancels a BatchPredictionJob. + + Starts asynchronous cancellation on the BatchPredictionJob. The + server makes the best effort to cancel the job, but success is + not guaranteed. Clients can use + [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob] + or other methods to check whether the cancellation succeeded or + whether the job completed despite cancellation. On a successful + cancellation, the BatchPredictionJob is not deleted;instead its + [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state] + is set to ``CANCELLED``. Any files already outputted by the job + are not deleted. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_cancel_batch_prediction_job(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.CancelBatchPredictionJobRequest( + name="name_value", + ) + + # Make the request + await client.cancel_batch_prediction_job(request=request) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CancelBatchPredictionJobRequest, dict]]): + The request object. Request message for + [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CancelBatchPredictionJob]. + name (:class:`str`): + Required. The name of the BatchPredictionJob to cancel. + Format: + ``projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.CancelBatchPredictionJobRequest): + request = job_service.CancelBatchPredictionJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.cancel_batch_prediction_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def create_model_deployment_monitoring_job( + self, + request: Optional[ + Union[job_service.CreateModelDeploymentMonitoringJobRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + model_deployment_monitoring_job: Optional[ + gca_model_deployment_monitoring_job.ModelDeploymentMonitoringJob + ] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_model_deployment_monitoring_job.ModelDeploymentMonitoringJob: + r"""Creates a ModelDeploymentMonitoringJob. It will run + periodically on a configured interval. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_model_deployment_monitoring_job(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + model_deployment_monitoring_job = aiplatform_v1.ModelDeploymentMonitoringJob() + model_deployment_monitoring_job.display_name = "display_name_value" + model_deployment_monitoring_job.endpoint = "endpoint_value" + + request = aiplatform_v1.CreateModelDeploymentMonitoringJobRequest( + parent="parent_value", + model_deployment_monitoring_job=model_deployment_monitoring_job, + ) + + # Make the request + response = await client.create_model_deployment_monitoring_job(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateModelDeploymentMonitoringJobRequest, dict]]): + The request object. Request message for + [JobService.CreateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.CreateModelDeploymentMonitoringJob]. + parent (:class:`str`): + Required. The parent of the + ModelDeploymentMonitoringJob. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + model_deployment_monitoring_job (:class:`google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringJob`): + Required. The + ModelDeploymentMonitoringJob to create + + This corresponds to the ``model_deployment_monitoring_job`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringJob: + Represents a job that runs + periodically to monitor the deployed + models in an endpoint. It will analyze + the logged training & prediction data to + detect any abnormal behaviors. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, model_deployment_monitoring_job] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, job_service.CreateModelDeploymentMonitoringJobRequest + ): + request = job_service.CreateModelDeploymentMonitoringJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if model_deployment_monitoring_job is not None: + request.model_deployment_monitoring_job = model_deployment_monitoring_job + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_model_deployment_monitoring_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def search_model_deployment_monitoring_stats_anomalies( + self, + request: Optional[ + Union[ + job_service.SearchModelDeploymentMonitoringStatsAnomaliesRequest, dict + ] + ] = None, + *, + model_deployment_monitoring_job: Optional[str] = None, + deployed_model_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.SearchModelDeploymentMonitoringStatsAnomaliesAsyncPager: + r"""Searches Model Monitoring Statistics generated within + a given time window. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_search_model_deployment_monitoring_stats_anomalies(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest( + model_deployment_monitoring_job="model_deployment_monitoring_job_value", + deployed_model_id="deployed_model_id_value", + ) + + # Make the request + page_result = client.search_model_deployment_monitoring_stats_anomalies(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.SearchModelDeploymentMonitoringStatsAnomaliesRequest, dict]]): + The request object. Request message for + [JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies]. + model_deployment_monitoring_job (:class:`str`): + Required. ModelDeploymentMonitoring Job resource name. + Format: + ``projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`` + + This corresponds to the ``model_deployment_monitoring_job`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + deployed_model_id (:class:`str`): + Required. The DeployedModel ID of the + [ModelDeploymentMonitoringObjectiveConfig.deployed_model_id]. + + This corresponds to the ``deployed_model_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.job_service.pagers.SearchModelDeploymentMonitoringStatsAnomaliesAsyncPager: + Response message for + [JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [model_deployment_monitoring_job, deployed_model_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, job_service.SearchModelDeploymentMonitoringStatsAnomaliesRequest + ): + request = job_service.SearchModelDeploymentMonitoringStatsAnomaliesRequest( + request + ) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if model_deployment_monitoring_job is not None: + request.model_deployment_monitoring_job = model_deployment_monitoring_job + if deployed_model_id is not None: + request.deployed_model_id = deployed_model_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.search_model_deployment_monitoring_stats_anomalies + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + ( + ( + "model_deployment_monitoring_job", + request.model_deployment_monitoring_job, + ), + ) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.SearchModelDeploymentMonitoringStatsAnomaliesAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_model_deployment_monitoring_job( + self, + request: Optional[ + Union[job_service.GetModelDeploymentMonitoringJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> model_deployment_monitoring_job.ModelDeploymentMonitoringJob: + r"""Gets a ModelDeploymentMonitoringJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_model_deployment_monitoring_job(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetModelDeploymentMonitoringJobRequest( + name="name_value", + ) + + # Make the request + response = await client.get_model_deployment_monitoring_job(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetModelDeploymentMonitoringJobRequest, dict]]): + The request object. Request message for + [JobService.GetModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.GetModelDeploymentMonitoringJob]. + name (:class:`str`): + Required. The resource name of the + ModelDeploymentMonitoringJob. Format: + ``projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringJob: + Represents a job that runs + periodically to monitor the deployed + models in an endpoint. It will analyze + the logged training & prediction data to + detect any abnormal behaviors. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.GetModelDeploymentMonitoringJobRequest): + request = job_service.GetModelDeploymentMonitoringJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_model_deployment_monitoring_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_model_deployment_monitoring_jobs( + self, + request: Optional[ + Union[job_service.ListModelDeploymentMonitoringJobsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListModelDeploymentMonitoringJobsAsyncPager: + r"""Lists ModelDeploymentMonitoringJobs in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_model_deployment_monitoring_jobs(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListModelDeploymentMonitoringJobsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_model_deployment_monitoring_jobs(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListModelDeploymentMonitoringJobsRequest, dict]]): + The request object. Request message for + [JobService.ListModelDeploymentMonitoringJobs][google.cloud.aiplatform.v1.JobService.ListModelDeploymentMonitoringJobs]. + parent (:class:`str`): + Required. The parent of the + ModelDeploymentMonitoringJob. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.job_service.pagers.ListModelDeploymentMonitoringJobsAsyncPager: + Response message for + [JobService.ListModelDeploymentMonitoringJobs][google.cloud.aiplatform.v1.JobService.ListModelDeploymentMonitoringJobs]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, job_service.ListModelDeploymentMonitoringJobsRequest + ): + request = job_service.ListModelDeploymentMonitoringJobsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_model_deployment_monitoring_jobs + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListModelDeploymentMonitoringJobsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def update_model_deployment_monitoring_job( + self, + request: Optional[ + Union[job_service.UpdateModelDeploymentMonitoringJobRequest, dict] + ] = None, + *, + model_deployment_monitoring_job: Optional[ + gca_model_deployment_monitoring_job.ModelDeploymentMonitoringJob + ] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Updates a ModelDeploymentMonitoringJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_update_model_deployment_monitoring_job(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + model_deployment_monitoring_job = aiplatform_v1.ModelDeploymentMonitoringJob() + model_deployment_monitoring_job.display_name = "display_name_value" + model_deployment_monitoring_job.endpoint = "endpoint_value" + + request = aiplatform_v1.UpdateModelDeploymentMonitoringJobRequest( + model_deployment_monitoring_job=model_deployment_monitoring_job, + ) + + # Make the request + operation = client.update_model_deployment_monitoring_job(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UpdateModelDeploymentMonitoringJobRequest, dict]]): + The request object. Request message for + [JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.UpdateModelDeploymentMonitoringJob]. + model_deployment_monitoring_job (:class:`google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringJob`): + Required. The model monitoring + configuration which replaces the + resource on the server. + + This corresponds to the ``model_deployment_monitoring_job`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Required. The update mask is used to specify the fields + to be overwritten in the ModelDeploymentMonitoringJob + resource by the update. The fields specified in the + update_mask are relative to the resource, not the full + request. A field will be overwritten if it is in the + mask. If the user does not provide a mask then only the + non-empty fields present in the request will be + overwritten. Set the update_mask to ``*`` to override + all fields. For the objective config, the user can + either provide the update mask for + model_deployment_monitoring_objective_configs or any + combination of its nested fields, such as: + model_deployment_monitoring_objective_configs.objective_config.training_dataset. + + Updatable fields: + + - ``display_name`` + - ``model_deployment_monitoring_schedule_config`` + - ``model_monitoring_alert_config`` + - ``logging_sampling_strategy`` + - ``labels`` + - ``log_ttl`` + - ``enable_monitoring_pipeline_logs`` . and + - ``model_deployment_monitoring_objective_configs`` . or + - ``model_deployment_monitoring_objective_configs.objective_config.training_dataset`` + - ``model_deployment_monitoring_objective_configs.objective_config.training_prediction_skew_detection_config`` + - ``model_deployment_monitoring_objective_configs.objective_config.prediction_drift_detection_config`` + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringJob` Represents a job that runs periodically to monitor the deployed models in an + endpoint. It will analyze the logged training & + prediction data to detect any abnormal behaviors. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [model_deployment_monitoring_job, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, job_service.UpdateModelDeploymentMonitoringJobRequest + ): + request = job_service.UpdateModelDeploymentMonitoringJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if model_deployment_monitoring_job is not None: + request.model_deployment_monitoring_job = model_deployment_monitoring_job + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.update_model_deployment_monitoring_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + ( + ( + "model_deployment_monitoring_job.name", + request.model_deployment_monitoring_job.name, + ), + ) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gca_model_deployment_monitoring_job.ModelDeploymentMonitoringJob, + metadata_type=job_service.UpdateModelDeploymentMonitoringJobOperationMetadata, + ) + + # Done; return the response. + return response + + async def delete_model_deployment_monitoring_job( + self, + request: Optional[ + Union[job_service.DeleteModelDeploymentMonitoringJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a ModelDeploymentMonitoringJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_model_deployment_monitoring_job(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteModelDeploymentMonitoringJobRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_model_deployment_monitoring_job(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteModelDeploymentMonitoringJobRequest, dict]]): + The request object. Request message for + [JobService.DeleteModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.DeleteModelDeploymentMonitoringJob]. + name (:class:`str`): + Required. The resource name of the model monitoring job + to delete. Format: + ``projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, job_service.DeleteModelDeploymentMonitoringJobRequest + ): + request = job_service.DeleteModelDeploymentMonitoringJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_model_deployment_monitoring_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def pause_model_deployment_monitoring_job( + self, + request: Optional[ + Union[job_service.PauseModelDeploymentMonitoringJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Pauses a ModelDeploymentMonitoringJob. If the job is running, + the server makes a best effort to cancel the job. Will mark + [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.state] + to 'PAUSED'. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_pause_model_deployment_monitoring_job(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.PauseModelDeploymentMonitoringJobRequest( + name="name_value", + ) + + # Make the request + await client.pause_model_deployment_monitoring_job(request=request) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.PauseModelDeploymentMonitoringJobRequest, dict]]): + The request object. Request message for + [JobService.PauseModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.PauseModelDeploymentMonitoringJob]. + name (:class:`str`): + Required. The resource name of the + ModelDeploymentMonitoringJob to pause. Format: + ``projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, job_service.PauseModelDeploymentMonitoringJobRequest + ): + request = job_service.PauseModelDeploymentMonitoringJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.pause_model_deployment_monitoring_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def resume_model_deployment_monitoring_job( + self, + request: Optional[ + Union[job_service.ResumeModelDeploymentMonitoringJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Resumes a paused ModelDeploymentMonitoringJob. It + will start to run from next scheduled time. A deleted + ModelDeploymentMonitoringJob can't be resumed. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_resume_model_deployment_monitoring_job(): + # Create a client + client = aiplatform_v1.JobServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ResumeModelDeploymentMonitoringJobRequest( + name="name_value", + ) + + # Make the request + await client.resume_model_deployment_monitoring_job(request=request) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ResumeModelDeploymentMonitoringJobRequest, dict]]): + The request object. Request message for + [JobService.ResumeModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.ResumeModelDeploymentMonitoringJob]. + name (:class:`str`): + Required. The resource name of the + ModelDeploymentMonitoringJob to resume. Format: + ``projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, job_service.ResumeModelDeploymentMonitoringJobRequest + ): + request = job_service.ResumeModelDeploymentMonitoringJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.resume_model_deployment_monitoring_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[ + self._client._transport.test_iam_permissions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self) -> "JobServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +__all__ = ("JobServiceAsyncClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/job_service/client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/job_service/client.py new file mode 100644 index 0000000000000000000000000000000000000000..da26b8089bd6a84960bfad8b012ea01cdf2bb1fc --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/job_service/client.py @@ -0,0 +1,6283 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from http import HTTPStatus +import json +import logging as std_logging +import os +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, + cast, +) +import warnings + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + +from google.cloud.aiplatform_v1.services.job_service import pagers +from google.cloud.aiplatform_v1.types import batch_prediction_job +from google.cloud.aiplatform_v1.types import ( + batch_prediction_job as gca_batch_prediction_job, +) +from google.cloud.aiplatform_v1.types import completion_stats +from google.cloud.aiplatform_v1.types import custom_job +from google.cloud.aiplatform_v1.types import custom_job as gca_custom_job +from google.cloud.aiplatform_v1.types import data_labeling_job +from google.cloud.aiplatform_v1.types import data_labeling_job as gca_data_labeling_job +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import explanation +from google.cloud.aiplatform_v1.types import hyperparameter_tuning_job +from google.cloud.aiplatform_v1.types import ( + hyperparameter_tuning_job as gca_hyperparameter_tuning_job, +) +from google.cloud.aiplatform_v1.types import io +from google.cloud.aiplatform_v1.types import job_service +from google.cloud.aiplatform_v1.types import job_state +from google.cloud.aiplatform_v1.types import machine_resources +from google.cloud.aiplatform_v1.types import manual_batch_tuning_parameters +from google.cloud.aiplatform_v1.types import model_deployment_monitoring_job +from google.cloud.aiplatform_v1.types import ( + model_deployment_monitoring_job as gca_model_deployment_monitoring_job, +) +from google.cloud.aiplatform_v1.types import model_monitoring +from google.cloud.aiplatform_v1.types import nas_job +from google.cloud.aiplatform_v1.types import nas_job as gca_nas_job +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.aiplatform_v1.types import study +from google.cloud.aiplatform_v1.types import unmanaged_container_model +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.duration_pb2 as duration_pb2 # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.struct_pb2 as struct_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +import google.rpc.status_pb2 as status_pb2 # type: ignore +import google.type.money_pb2 as money_pb2 # type: ignore +from .transports.base import JobServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import JobServiceGrpcTransport +from .transports.grpc_asyncio import JobServiceGrpcAsyncIOTransport +from .transports.rest import JobServiceRestTransport + +try: + from .transports.rest_asyncio import AsyncJobServiceRestTransport + + HAS_ASYNC_REST_DEPENDENCIES = True +except ImportError as e: # pragma: NO COVER + HAS_ASYNC_REST_DEPENDENCIES = False + ASYNC_REST_EXCEPTION = e + + +class JobServiceClientMeta(type): + """Metaclass for the JobService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + + _transport_registry = OrderedDict() # type: Dict[str, Type[JobServiceTransport]] + _transport_registry["grpc"] = JobServiceGrpcTransport + _transport_registry["grpc_asyncio"] = JobServiceGrpcAsyncIOTransport + _transport_registry["rest"] = JobServiceRestTransport + if HAS_ASYNC_REST_DEPENDENCIES: # pragma: NO COVER + _transport_registry["rest_asyncio"] = AsyncJobServiceRestTransport + + def get_transport_class( + cls, + label: Optional[str] = None, + ) -> Type[JobServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if ( + label == "rest_asyncio" and not HAS_ASYNC_REST_DEPENDENCIES + ): # pragma: NO COVER + raise ASYNC_REST_EXCEPTION + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class JobServiceClient(metaclass=JobServiceClientMeta): + """A service for creating and managing Vertex AI's jobs.""" + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "aiplatform.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @staticmethod + def _use_client_cert_effective(): + """Returns whether client certificate should be used for mTLS if the + google-auth version supports should_use_client_cert automatic mTLS enablement. + + Alternatively, read from the GOOGLE_API_USE_CLIENT_CERTIFICATE env var. + + Returns: + bool: whether client certificate should be used for mTLS + Raises: + ValueError: (If using a version of google-auth without should_use_client_cert and + GOOGLE_API_USE_CLIENT_CERTIFICATE is set to an unexpected value.) + """ + # check if google-auth version supports should_use_client_cert for automatic mTLS enablement + if hasattr(mtls, "should_use_client_cert"): # pragma: NO COVER + return mtls.should_use_client_cert() + else: # pragma: NO COVER + # if unsupported, fallback to reading from env var + use_client_cert_str = os.getenv( + "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false" + ).lower() + if use_client_cert_str not in ("true", "false"): + raise ValueError( + "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be" + " either `true` or `false`" + ) + return use_client_cert_str == "true" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + JobServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + JobServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file(filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> JobServiceTransport: + """Returns the transport used by the client instance. + + Returns: + JobServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def batch_prediction_job_path( + project: str, + location: str, + batch_prediction_job: str, + ) -> str: + """Returns a fully-qualified batch_prediction_job string.""" + return "projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}".format( + project=project, + location=location, + batch_prediction_job=batch_prediction_job, + ) + + @staticmethod + def parse_batch_prediction_job_path(path: str) -> Dict[str, str]: + """Parses a batch_prediction_job path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/batchPredictionJobs/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def context_path( + project: str, + location: str, + metadata_store: str, + context: str, + ) -> str: + """Returns a fully-qualified context string.""" + return "projects/{project}/locations/{location}/metadataStores/{metadata_store}/contexts/{context}".format( + project=project, + location=location, + metadata_store=metadata_store, + context=context, + ) + + @staticmethod + def parse_context_path(path: str) -> Dict[str, str]: + """Parses a context path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/metadataStores/(?P.+?)/contexts/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def custom_job_path( + project: str, + location: str, + custom_job: str, + ) -> str: + """Returns a fully-qualified custom_job string.""" + return "projects/{project}/locations/{location}/customJobs/{custom_job}".format( + project=project, + location=location, + custom_job=custom_job, + ) + + @staticmethod + def parse_custom_job_path(path: str) -> Dict[str, str]: + """Parses a custom_job path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/customJobs/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def data_labeling_job_path( + project: str, + location: str, + data_labeling_job: str, + ) -> str: + """Returns a fully-qualified data_labeling_job string.""" + return "projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}".format( + project=project, + location=location, + data_labeling_job=data_labeling_job, + ) + + @staticmethod + def parse_data_labeling_job_path(path: str) -> Dict[str, str]: + """Parses a data_labeling_job path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/dataLabelingJobs/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def dataset_path( + project: str, + location: str, + dataset: str, + ) -> str: + """Returns a fully-qualified dataset string.""" + return "projects/{project}/locations/{location}/datasets/{dataset}".format( + project=project, + location=location, + dataset=dataset, + ) + + @staticmethod + def parse_dataset_path(path: str) -> Dict[str, str]: + """Parses a dataset path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/datasets/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def endpoint_path( + project: str, + location: str, + endpoint: str, + ) -> str: + """Returns a fully-qualified endpoint string.""" + return "projects/{project}/locations/{location}/endpoints/{endpoint}".format( + project=project, + location=location, + endpoint=endpoint, + ) + + @staticmethod + def parse_endpoint_path(path: str) -> Dict[str, str]: + """Parses a endpoint path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/endpoints/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def hyperparameter_tuning_job_path( + project: str, + location: str, + hyperparameter_tuning_job: str, + ) -> str: + """Returns a fully-qualified hyperparameter_tuning_job string.""" + return "projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}".format( + project=project, + location=location, + hyperparameter_tuning_job=hyperparameter_tuning_job, + ) + + @staticmethod + def parse_hyperparameter_tuning_job_path(path: str) -> Dict[str, str]: + """Parses a hyperparameter_tuning_job path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/hyperparameterTuningJobs/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def model_path( + project: str, + location: str, + model: str, + ) -> str: + """Returns a fully-qualified model string.""" + return "projects/{project}/locations/{location}/models/{model}".format( + project=project, + location=location, + model=model, + ) + + @staticmethod + def parse_model_path(path: str) -> Dict[str, str]: + """Parses a model path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/models/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def model_deployment_monitoring_job_path( + project: str, + location: str, + model_deployment_monitoring_job: str, + ) -> str: + """Returns a fully-qualified model_deployment_monitoring_job string.""" + return "projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}".format( + project=project, + location=location, + model_deployment_monitoring_job=model_deployment_monitoring_job, + ) + + @staticmethod + def parse_model_deployment_monitoring_job_path(path: str) -> Dict[str, str]: + """Parses a model_deployment_monitoring_job path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/modelDeploymentMonitoringJobs/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def nas_job_path( + project: str, + location: str, + nas_job: str, + ) -> str: + """Returns a fully-qualified nas_job string.""" + return "projects/{project}/locations/{location}/nasJobs/{nas_job}".format( + project=project, + location=location, + nas_job=nas_job, + ) + + @staticmethod + def parse_nas_job_path(path: str) -> Dict[str, str]: + """Parses a nas_job path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/nasJobs/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def nas_trial_detail_path( + project: str, + location: str, + nas_job: str, + nas_trial_detail: str, + ) -> str: + """Returns a fully-qualified nas_trial_detail string.""" + return "projects/{project}/locations/{location}/nasJobs/{nas_job}/nasTrialDetails/{nas_trial_detail}".format( + project=project, + location=location, + nas_job=nas_job, + nas_trial_detail=nas_trial_detail, + ) + + @staticmethod + def parse_nas_trial_detail_path(path: str) -> Dict[str, str]: + """Parses a nas_trial_detail path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/nasJobs/(?P.+?)/nasTrialDetails/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def network_path( + project: str, + network: str, + ) -> str: + """Returns a fully-qualified network string.""" + return "projects/{project}/global/networks/{network}".format( + project=project, + network=network, + ) + + @staticmethod + def parse_network_path(path: str) -> Dict[str, str]: + """Parses a network path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/global/networks/(?P.+?)$", path + ) + return m.groupdict() if m else {} + + @staticmethod + def network_attachment_path( + project: str, + region: str, + networkattachment: str, + ) -> str: + """Returns a fully-qualified network_attachment string.""" + return "projects/{project}/regions/{region}/networkAttachments/{networkattachment}".format( + project=project, + region=region, + networkattachment=networkattachment, + ) + + @staticmethod + def parse_network_attachment_path(path: str) -> Dict[str, str]: + """Parses a network_attachment path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/regions/(?P.+?)/networkAttachments/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def notification_channel_path( + project: str, + notification_channel: str, + ) -> str: + """Returns a fully-qualified notification_channel string.""" + return "projects/{project}/notificationChannels/{notification_channel}".format( + project=project, + notification_channel=notification_channel, + ) + + @staticmethod + def parse_notification_channel_path(path: str) -> Dict[str, str]: + """Parses a notification_channel path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/notificationChannels/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def persistent_resource_path( + project: str, + location: str, + persistent_resource: str, + ) -> str: + """Returns a fully-qualified persistent_resource string.""" + return "projects/{project}/locations/{location}/persistentResources/{persistent_resource}".format( + project=project, + location=location, + persistent_resource=persistent_resource, + ) + + @staticmethod + def parse_persistent_resource_path(path: str) -> Dict[str, str]: + """Parses a persistent_resource path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/persistentResources/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def reservation_path( + project_id_or_number: str, + zone: str, + reservation_name: str, + ) -> str: + """Returns a fully-qualified reservation string.""" + return "projects/{project_id_or_number}/zones/{zone}/reservations/{reservation_name}".format( + project_id_or_number=project_id_or_number, + zone=zone, + reservation_name=reservation_name, + ) + + @staticmethod + def parse_reservation_path(path: str) -> Dict[str, str]: + """Parses a reservation path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/zones/(?P.+?)/reservations/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def tensorboard_path( + project: str, + location: str, + tensorboard: str, + ) -> str: + """Returns a fully-qualified tensorboard string.""" + return ( + "projects/{project}/locations/{location}/tensorboards/{tensorboard}".format( + project=project, + location=location, + tensorboard=tensorboard, + ) + ) + + @staticmethod + def parse_tensorboard_path(path: str) -> Dict[str, str]: + """Parses a tensorboard path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/tensorboards/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def trial_path( + project: str, + location: str, + study: str, + trial: str, + ) -> str: + """Returns a fully-qualified trial string.""" + return "projects/{project}/locations/{location}/studies/{study}/trials/{trial}".format( + project=project, + location=location, + study=study, + trial=trial, + ) + + @staticmethod + def parse_trial_path(path: str) -> Dict[str, str]: + """Parses a trial path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/studies/(?P.+?)/trials/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path( + billing_account: str, + ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format( + billing_account=billing_account, + ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str, str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path( + folder: str, + ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format( + folder=folder, + ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str, str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path( + organization: str, + ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format( + organization=organization, + ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str, str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path( + project: str, + ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format( + project=project, + ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str, str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path( + project: str, + location: str, + ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format( + project=project, + location=location, + ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str, str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[client_options_lib.ClientOptions] = None + ): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn( + "get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning, + ) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = JobServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert: + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = JobServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + return use_client_cert, use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint( + api_override, client_cert_source, universe_domain, use_mtls_endpoint + ): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + _default_universe = JobServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError( + f"mTLS is not supported in any universe other than {_default_universe}." + ) + api_endpoint = JobServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = JobServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format( + UNIVERSE_DOMAIN=universe_domain + ) + return api_endpoint + + @staticmethod + def _get_universe_domain( + client_universe_domain: Optional[str], universe_domain_env: Optional[str] + ) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = JobServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + + # NOTE (b/349488459): universe validation is disabled until further notice. + return True + + def _add_cred_info_for_auth_errors( + self, error: core_exceptions.GoogleAPICallError + ) -> None: + """Adds credential info string to error details for 401/403/404 errors. + + Args: + error (google.api_core.exceptions.GoogleAPICallError): The error to add the cred info. + """ + if error.code not in [ + HTTPStatus.UNAUTHORIZED, + HTTPStatus.FORBIDDEN, + HTTPStatus.NOT_FOUND, + ]: + return + + cred = self._transport._credentials + + # get_cred_info is only available in google-auth>=2.35.0 + if not hasattr(cred, "get_cred_info"): + return + + # ignore the type check since pypy test fails when get_cred_info + # is not available + cred_info = cred.get_cred_info() # type: ignore + if cred_info and hasattr(error._details, "append"): + error._details.append(json.dumps(cred_info)) + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[str, JobServiceTransport, Callable[..., JobServiceTransport]] + ] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the job service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,JobServiceTransport,Callable[..., JobServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the JobServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast( + client_options_lib.ClientOptions, self._client_options + ) + + universe_domain_opt = getattr(self._client_options, "universe_domain", None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = ( + JobServiceClient._read_environment_variables() + ) + self._client_cert_source = JobServiceClient._get_client_cert_source( + self._client_options.client_cert_source, self._use_client_cert + ) + self._universe_domain = JobServiceClient._get_universe_domain( + universe_domain_opt, self._universe_domain_env + ) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + if CLIENT_LOGGING_SUPPORTED: # pragma: NO COVER + # Setup logging. + client_logging.initialize_logging() + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError( + "client_options.api_key and credentials are mutually exclusive" + ) + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance(transport, JobServiceTransport) + if transport_provided: + # transport is a JobServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError( + "When providing a transport instance, " + "provide its credentials directly." + ) + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(JobServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = self._api_endpoint or JobServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint, + ) + + if not transport_provided: + transport_init: Union[ + Type[JobServiceTransport], Callable[..., JobServiceTransport] + ] = ( + JobServiceClient.get_transport_class(transport) + if isinstance(transport, str) or transport is None + else cast(Callable[..., JobServiceTransport], transport) + ) + + if "rest_asyncio" in str(transport_init): + unsupported_params = { + "google.api_core.client_options.ClientOptions.credentials_file": self._client_options.credentials_file, + "google.api_core.client_options.ClientOptions.scopes": self._client_options.scopes, + "google.api_core.client_options.ClientOptions.quota_project_id": self._client_options.quota_project_id, + "google.api_core.client_options.ClientOptions.client_cert_source": self._client_options.client_cert_source, + "google.api_core.client_options.ClientOptions.api_audience": self._client_options.api_audience, + } + provided_unsupported_params = [ + name + for name, value in unsupported_params.items() + if value is not None + ] + if provided_unsupported_params: + raise core_exceptions.AsyncRestUnsupportedParameterError( # type: ignore + f"The following provided parameters are not supported for `transport=rest_asyncio`: {', '.join(provided_unsupported_params)}" + ) + self._transport = transport_init( + credentials=credentials, + host=self._api_endpoint, + client_info=client_info, + ) + return + + import google.auth._default # type: ignore + + if api_key_value and hasattr( + google.auth._default, "get_api_key_credentials" + ): + credentials = google.auth._default.get_api_key_credentials( + api_key_value + ) + + # initialize with the provided callable or the passed in class + self._transport = transport_init( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + if "async" not in str(self._transport): + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.JobServiceClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.JobService", + "universeDomain": getattr( + self._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._transport._credentials).__module__}.{type(self._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, + "get_cred_info", + lambda: None, + )(), + } + if hasattr(self._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.JobService", + "credentialsType": None, + } + ), + ) + + def create_custom_job( + self, + request: Optional[Union[job_service.CreateCustomJobRequest, dict]] = None, + *, + parent: Optional[str] = None, + custom_job: Optional[gca_custom_job.CustomJob] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_custom_job.CustomJob: + r"""Creates a CustomJob. A created CustomJob right away + will be attempted to be run. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_custom_job(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + custom_job = aiplatform_v1.CustomJob() + custom_job.display_name = "display_name_value" + custom_job.job_spec.worker_pool_specs.container_spec.image_uri = "image_uri_value" + + request = aiplatform_v1.CreateCustomJobRequest( + parent="parent_value", + custom_job=custom_job, + ) + + # Make the request + response = client.create_custom_job(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateCustomJobRequest, dict]): + The request object. Request message for + [JobService.CreateCustomJob][google.cloud.aiplatform.v1.JobService.CreateCustomJob]. + parent (str): + Required. The resource name of the Location to create + the CustomJob in. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + custom_job (google.cloud.aiplatform_v1.types.CustomJob): + Required. The CustomJob to create. + This corresponds to the ``custom_job`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.CustomJob: + Represents a job that runs custom + workloads such as a Docker container or + a Python package. A CustomJob can have + multiple worker pools and each worker + pool can have its own machine and input + spec. A CustomJob will be cleaned up + once the job enters terminal state + (failed or succeeded). + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, custom_job] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.CreateCustomJobRequest): + request = job_service.CreateCustomJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if custom_job is not None: + request.custom_job = custom_job + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_custom_job] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def get_custom_job( + self, + request: Optional[Union[job_service.GetCustomJobRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> custom_job.CustomJob: + r"""Gets a CustomJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_custom_job(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetCustomJobRequest( + name="name_value", + ) + + # Make the request + response = client.get_custom_job(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetCustomJobRequest, dict]): + The request object. Request message for + [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob]. + name (str): + Required. The name of the CustomJob resource. Format: + ``projects/{project}/locations/{location}/customJobs/{custom_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.CustomJob: + Represents a job that runs custom + workloads such as a Docker container or + a Python package. A CustomJob can have + multiple worker pools and each worker + pool can have its own machine and input + spec. A CustomJob will be cleaned up + once the job enters terminal state + (failed or succeeded). + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.GetCustomJobRequest): + request = job_service.GetCustomJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_custom_job] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_custom_jobs( + self, + request: Optional[Union[job_service.ListCustomJobsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListCustomJobsPager: + r"""Lists CustomJobs in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_custom_jobs(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListCustomJobsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_custom_jobs(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListCustomJobsRequest, dict]): + The request object. Request message for + [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]. + parent (str): + Required. The resource name of the Location to list the + CustomJobs from. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.job_service.pagers.ListCustomJobsPager: + Response message for + [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs] + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.ListCustomJobsRequest): + request = job_service.ListCustomJobsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_custom_jobs] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListCustomJobsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def delete_custom_job( + self, + request: Optional[Union[job_service.DeleteCustomJobRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes a CustomJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_custom_job(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteCustomJobRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_custom_job(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteCustomJobRequest, dict]): + The request object. Request message for + [JobService.DeleteCustomJob][google.cloud.aiplatform.v1.JobService.DeleteCustomJob]. + name (str): + Required. The name of the CustomJob resource to be + deleted. Format: + ``projects/{project}/locations/{location}/customJobs/{custom_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.DeleteCustomJobRequest): + request = job_service.DeleteCustomJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_custom_job] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def cancel_custom_job( + self, + request: Optional[Union[job_service.CancelCustomJobRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Cancels a CustomJob. Starts asynchronous cancellation on the + CustomJob. The server makes a best effort to cancel the job, but + success is not guaranteed. Clients can use + [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob] + or other methods to check whether the cancellation succeeded or + whether the job completed despite cancellation. On successful + cancellation, the CustomJob is not deleted; instead it becomes a + job with a + [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] + value with a [google.rpc.Status.code][google.rpc.Status.code] of + 1, corresponding to ``Code.CANCELLED``, and + [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is + set to ``CANCELLED``. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_cancel_custom_job(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.CancelCustomJobRequest( + name="name_value", + ) + + # Make the request + client.cancel_custom_job(request=request) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CancelCustomJobRequest, dict]): + The request object. Request message for + [JobService.CancelCustomJob][google.cloud.aiplatform.v1.JobService.CancelCustomJob]. + name (str): + Required. The name of the CustomJob to cancel. Format: + ``projects/{project}/locations/{location}/customJobs/{custom_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.CancelCustomJobRequest): + request = job_service.CancelCustomJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_custom_job] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def create_data_labeling_job( + self, + request: Optional[Union[job_service.CreateDataLabelingJobRequest, dict]] = None, + *, + parent: Optional[str] = None, + data_labeling_job: Optional[gca_data_labeling_job.DataLabelingJob] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_data_labeling_job.DataLabelingJob: + r"""Creates a DataLabelingJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_data_labeling_job(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + data_labeling_job = aiplatform_v1.DataLabelingJob() + data_labeling_job.display_name = "display_name_value" + data_labeling_job.datasets = ['datasets_value1', 'datasets_value2'] + data_labeling_job.labeler_count = 1375 + data_labeling_job.instruction_uri = "instruction_uri_value" + data_labeling_job.inputs_schema_uri = "inputs_schema_uri_value" + data_labeling_job.inputs.null_value = "NULL_VALUE" + + request = aiplatform_v1.CreateDataLabelingJobRequest( + parent="parent_value", + data_labeling_job=data_labeling_job, + ) + + # Make the request + response = client.create_data_labeling_job(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateDataLabelingJobRequest, dict]): + The request object. Request message for + [JobService.CreateDataLabelingJob][google.cloud.aiplatform.v1.JobService.CreateDataLabelingJob]. + parent (str): + Required. The parent of the DataLabelingJob. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + data_labeling_job (google.cloud.aiplatform_v1.types.DataLabelingJob): + Required. The DataLabelingJob to + create. + + This corresponds to the ``data_labeling_job`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.DataLabelingJob: + DataLabelingJob is used to trigger a + human labeling job on unlabeled data + from the following Dataset: + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, data_labeling_job] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.CreateDataLabelingJobRequest): + request = job_service.CreateDataLabelingJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if data_labeling_job is not None: + request.data_labeling_job = data_labeling_job + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_data_labeling_job] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def get_data_labeling_job( + self, + request: Optional[Union[job_service.GetDataLabelingJobRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> data_labeling_job.DataLabelingJob: + r"""Gets a DataLabelingJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_data_labeling_job(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetDataLabelingJobRequest( + name="name_value", + ) + + # Make the request + response = client.get_data_labeling_job(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetDataLabelingJobRequest, dict]): + The request object. Request message for + [JobService.GetDataLabelingJob][google.cloud.aiplatform.v1.JobService.GetDataLabelingJob]. + name (str): + Required. The name of the DataLabelingJob. Format: + ``projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.DataLabelingJob: + DataLabelingJob is used to trigger a + human labeling job on unlabeled data + from the following Dataset: + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.GetDataLabelingJobRequest): + request = job_service.GetDataLabelingJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_data_labeling_job] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_data_labeling_jobs( + self, + request: Optional[Union[job_service.ListDataLabelingJobsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListDataLabelingJobsPager: + r"""Lists DataLabelingJobs in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_data_labeling_jobs(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListDataLabelingJobsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_data_labeling_jobs(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListDataLabelingJobsRequest, dict]): + The request object. Request message for + [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs]. + parent (str): + Required. The parent of the DataLabelingJob. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.job_service.pagers.ListDataLabelingJobsPager: + Response message for + [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.ListDataLabelingJobsRequest): + request = job_service.ListDataLabelingJobsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_data_labeling_jobs] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListDataLabelingJobsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def delete_data_labeling_job( + self, + request: Optional[Union[job_service.DeleteDataLabelingJobRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes a DataLabelingJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_data_labeling_job(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteDataLabelingJobRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_data_labeling_job(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteDataLabelingJobRequest, dict]): + The request object. Request message for + [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1.JobService.DeleteDataLabelingJob]. + name (str): + Required. The name of the DataLabelingJob to be deleted. + Format: + ``projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.DeleteDataLabelingJobRequest): + request = job_service.DeleteDataLabelingJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_data_labeling_job] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def cancel_data_labeling_job( + self, + request: Optional[Union[job_service.CancelDataLabelingJobRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Cancels a DataLabelingJob. Success of cancellation is + not guaranteed. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_cancel_data_labeling_job(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.CancelDataLabelingJobRequest( + name="name_value", + ) + + # Make the request + client.cancel_data_labeling_job(request=request) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CancelDataLabelingJobRequest, dict]): + The request object. Request message for + [JobService.CancelDataLabelingJob][google.cloud.aiplatform.v1.JobService.CancelDataLabelingJob]. + name (str): + Required. The name of the DataLabelingJob. Format: + ``projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.CancelDataLabelingJobRequest): + request = job_service.CancelDataLabelingJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_data_labeling_job] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def create_hyperparameter_tuning_job( + self, + request: Optional[ + Union[job_service.CreateHyperparameterTuningJobRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + hyperparameter_tuning_job: Optional[ + gca_hyperparameter_tuning_job.HyperparameterTuningJob + ] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_hyperparameter_tuning_job.HyperparameterTuningJob: + r"""Creates a HyperparameterTuningJob + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_hyperparameter_tuning_job(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + hyperparameter_tuning_job = aiplatform_v1.HyperparameterTuningJob() + hyperparameter_tuning_job.display_name = "display_name_value" + hyperparameter_tuning_job.study_spec.metrics.metric_id = "metric_id_value" + hyperparameter_tuning_job.study_spec.metrics.goal = "MINIMIZE" + hyperparameter_tuning_job.study_spec.parameters.double_value_spec.min_value = 0.96 + hyperparameter_tuning_job.study_spec.parameters.double_value_spec.max_value = 0.962 + hyperparameter_tuning_job.study_spec.parameters.parameter_id = "parameter_id_value" + hyperparameter_tuning_job.max_trial_count = 1609 + hyperparameter_tuning_job.parallel_trial_count = 2128 + hyperparameter_tuning_job.trial_job_spec.worker_pool_specs.container_spec.image_uri = "image_uri_value" + + request = aiplatform_v1.CreateHyperparameterTuningJobRequest( + parent="parent_value", + hyperparameter_tuning_job=hyperparameter_tuning_job, + ) + + # Make the request + response = client.create_hyperparameter_tuning_job(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateHyperparameterTuningJobRequest, dict]): + The request object. Request message for + [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CreateHyperparameterTuningJob]. + parent (str): + Required. The resource name of the Location to create + the HyperparameterTuningJob in. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + hyperparameter_tuning_job (google.cloud.aiplatform_v1.types.HyperparameterTuningJob): + Required. The HyperparameterTuningJob + to create. + + This corresponds to the ``hyperparameter_tuning_job`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.HyperparameterTuningJob: + Represents a HyperparameterTuningJob. + A HyperparameterTuningJob has a Study + specification and multiple CustomJobs + with identical CustomJob specification. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, hyperparameter_tuning_job] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.CreateHyperparameterTuningJobRequest): + request = job_service.CreateHyperparameterTuningJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if hyperparameter_tuning_job is not None: + request.hyperparameter_tuning_job = hyperparameter_tuning_job + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.create_hyperparameter_tuning_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def get_hyperparameter_tuning_job( + self, + request: Optional[ + Union[job_service.GetHyperparameterTuningJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> hyperparameter_tuning_job.HyperparameterTuningJob: + r"""Gets a HyperparameterTuningJob + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_hyperparameter_tuning_job(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetHyperparameterTuningJobRequest( + name="name_value", + ) + + # Make the request + response = client.get_hyperparameter_tuning_job(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetHyperparameterTuningJobRequest, dict]): + The request object. Request message for + [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob]. + name (str): + Required. The name of the HyperparameterTuningJob + resource. Format: + ``projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.HyperparameterTuningJob: + Represents a HyperparameterTuningJob. + A HyperparameterTuningJob has a Study + specification and multiple CustomJobs + with identical CustomJob specification. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.GetHyperparameterTuningJobRequest): + request = job_service.GetHyperparameterTuningJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.get_hyperparameter_tuning_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_hyperparameter_tuning_jobs( + self, + request: Optional[ + Union[job_service.ListHyperparameterTuningJobsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListHyperparameterTuningJobsPager: + r"""Lists HyperparameterTuningJobs in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_hyperparameter_tuning_jobs(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListHyperparameterTuningJobsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_hyperparameter_tuning_jobs(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListHyperparameterTuningJobsRequest, dict]): + The request object. Request message for + [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]. + parent (str): + Required. The resource name of the Location to list the + HyperparameterTuningJobs from. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.job_service.pagers.ListHyperparameterTuningJobsPager: + Response message for + [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs] + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.ListHyperparameterTuningJobsRequest): + request = job_service.ListHyperparameterTuningJobsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.list_hyperparameter_tuning_jobs + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListHyperparameterTuningJobsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def delete_hyperparameter_tuning_job( + self, + request: Optional[ + Union[job_service.DeleteHyperparameterTuningJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes a HyperparameterTuningJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_hyperparameter_tuning_job(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteHyperparameterTuningJobRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_hyperparameter_tuning_job(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteHyperparameterTuningJobRequest, dict]): + The request object. Request message for + [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.DeleteHyperparameterTuningJob]. + name (str): + Required. The name of the HyperparameterTuningJob + resource to be deleted. Format: + ``projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.DeleteHyperparameterTuningJobRequest): + request = job_service.DeleteHyperparameterTuningJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.delete_hyperparameter_tuning_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def cancel_hyperparameter_tuning_job( + self, + request: Optional[ + Union[job_service.CancelHyperparameterTuningJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Cancels a HyperparameterTuningJob. Starts asynchronous + cancellation on the HyperparameterTuningJob. The server makes a + best effort to cancel the job, but success is not guaranteed. + Clients can use + [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob] + or other methods to check whether the cancellation succeeded or + whether the job completed despite cancellation. On successful + cancellation, the HyperparameterTuningJob is not deleted; + instead it becomes a job with a + [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error] + value with a [google.rpc.Status.code][google.rpc.Status.code] of + 1, corresponding to ``Code.CANCELLED``, and + [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state] + is set to ``CANCELLED``. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_cancel_hyperparameter_tuning_job(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.CancelHyperparameterTuningJobRequest( + name="name_value", + ) + + # Make the request + client.cancel_hyperparameter_tuning_job(request=request) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CancelHyperparameterTuningJobRequest, dict]): + The request object. Request message for + [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CancelHyperparameterTuningJob]. + name (str): + Required. The name of the HyperparameterTuningJob to + cancel. Format: + ``projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.CancelHyperparameterTuningJobRequest): + request = job_service.CancelHyperparameterTuningJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.cancel_hyperparameter_tuning_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def create_nas_job( + self, + request: Optional[Union[job_service.CreateNasJobRequest, dict]] = None, + *, + parent: Optional[str] = None, + nas_job: Optional[gca_nas_job.NasJob] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_nas_job.NasJob: + r"""Creates a NasJob + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_nas_job(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + nas_job = aiplatform_v1.NasJob() + nas_job.display_name = "display_name_value" + nas_job.nas_job_spec.multi_trial_algorithm_spec.search_trial_spec.search_trial_job_spec.worker_pool_specs.container_spec.image_uri = "image_uri_value" + nas_job.nas_job_spec.multi_trial_algorithm_spec.search_trial_spec.max_trial_count = 1609 + nas_job.nas_job_spec.multi_trial_algorithm_spec.search_trial_spec.max_parallel_trial_count = 2549 + + request = aiplatform_v1.CreateNasJobRequest( + parent="parent_value", + nas_job=nas_job, + ) + + # Make the request + response = client.create_nas_job(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateNasJobRequest, dict]): + The request object. Request message for + [JobService.CreateNasJob][google.cloud.aiplatform.v1.JobService.CreateNasJob]. + parent (str): + Required. The resource name of the Location to create + the NasJob in. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + nas_job (google.cloud.aiplatform_v1.types.NasJob): + Required. The NasJob to create. + This corresponds to the ``nas_job`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.NasJob: + Represents a Neural Architecture + Search (NAS) job. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, nas_job] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.CreateNasJobRequest): + request = job_service.CreateNasJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if nas_job is not None: + request.nas_job = nas_job + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_nas_job] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def get_nas_job( + self, + request: Optional[Union[job_service.GetNasJobRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> nas_job.NasJob: + r"""Gets a NasJob + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_nas_job(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetNasJobRequest( + name="name_value", + ) + + # Make the request + response = client.get_nas_job(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetNasJobRequest, dict]): + The request object. Request message for + [JobService.GetNasJob][google.cloud.aiplatform.v1.JobService.GetNasJob]. + name (str): + Required. The name of the NasJob resource. Format: + ``projects/{project}/locations/{location}/nasJobs/{nas_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.NasJob: + Represents a Neural Architecture + Search (NAS) job. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.GetNasJobRequest): + request = job_service.GetNasJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_nas_job] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_nas_jobs( + self, + request: Optional[Union[job_service.ListNasJobsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListNasJobsPager: + r"""Lists NasJobs in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_nas_jobs(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListNasJobsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_nas_jobs(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListNasJobsRequest, dict]): + The request object. Request message for + [JobService.ListNasJobs][google.cloud.aiplatform.v1.JobService.ListNasJobs]. + parent (str): + Required. The resource name of the Location to list the + NasJobs from. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.job_service.pagers.ListNasJobsPager: + Response message for + [JobService.ListNasJobs][google.cloud.aiplatform.v1.JobService.ListNasJobs] + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.ListNasJobsRequest): + request = job_service.ListNasJobsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_nas_jobs] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListNasJobsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def delete_nas_job( + self, + request: Optional[Union[job_service.DeleteNasJobRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes a NasJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_nas_job(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteNasJobRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_nas_job(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteNasJobRequest, dict]): + The request object. Request message for + [JobService.DeleteNasJob][google.cloud.aiplatform.v1.JobService.DeleteNasJob]. + name (str): + Required. The name of the NasJob resource to be deleted. + Format: + ``projects/{project}/locations/{location}/nasJobs/{nas_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.DeleteNasJobRequest): + request = job_service.DeleteNasJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_nas_job] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def cancel_nas_job( + self, + request: Optional[Union[job_service.CancelNasJobRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Cancels a NasJob. Starts asynchronous cancellation on the + NasJob. The server makes a best effort to cancel the job, but + success is not guaranteed. Clients can use + [JobService.GetNasJob][google.cloud.aiplatform.v1.JobService.GetNasJob] + or other methods to check whether the cancellation succeeded or + whether the job completed despite cancellation. On successful + cancellation, the NasJob is not deleted; instead it becomes a + job with a + [NasJob.error][google.cloud.aiplatform.v1.NasJob.error] value + with a [google.rpc.Status.code][google.rpc.Status.code] of 1, + corresponding to ``Code.CANCELLED``, and + [NasJob.state][google.cloud.aiplatform.v1.NasJob.state] is set + to ``CANCELLED``. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_cancel_nas_job(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.CancelNasJobRequest( + name="name_value", + ) + + # Make the request + client.cancel_nas_job(request=request) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CancelNasJobRequest, dict]): + The request object. Request message for + [JobService.CancelNasJob][google.cloud.aiplatform.v1.JobService.CancelNasJob]. + name (str): + Required. The name of the NasJob to cancel. Format: + ``projects/{project}/locations/{location}/nasJobs/{nas_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.CancelNasJobRequest): + request = job_service.CancelNasJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_nas_job] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def get_nas_trial_detail( + self, + request: Optional[Union[job_service.GetNasTrialDetailRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> nas_job.NasTrialDetail: + r"""Gets a NasTrialDetail. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_nas_trial_detail(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetNasTrialDetailRequest( + name="name_value", + ) + + # Make the request + response = client.get_nas_trial_detail(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetNasTrialDetailRequest, dict]): + The request object. Request message for + [JobService.GetNasTrialDetail][google.cloud.aiplatform.v1.JobService.GetNasTrialDetail]. + name (str): + Required. The name of the NasTrialDetail resource. + Format: + ``projects/{project}/locations/{location}/nasJobs/{nas_job}/nasTrialDetails/{nas_trial_detail}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.NasTrialDetail: + Represents a NasTrial details along + with its parameters. If there is a + corresponding train NasTrial, the train + NasTrial is also returned. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.GetNasTrialDetailRequest): + request = job_service.GetNasTrialDetailRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_nas_trial_detail] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_nas_trial_details( + self, + request: Optional[Union[job_service.ListNasTrialDetailsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListNasTrialDetailsPager: + r"""List top NasTrialDetails of a NasJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_nas_trial_details(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListNasTrialDetailsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_nas_trial_details(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListNasTrialDetailsRequest, dict]): + The request object. Request message for + [JobService.ListNasTrialDetails][google.cloud.aiplatform.v1.JobService.ListNasTrialDetails]. + parent (str): + Required. The name of the NasJob resource. Format: + ``projects/{project}/locations/{location}/nasJobs/{nas_job}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.job_service.pagers.ListNasTrialDetailsPager: + Response message for + [JobService.ListNasTrialDetails][google.cloud.aiplatform.v1.JobService.ListNasTrialDetails] + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.ListNasTrialDetailsRequest): + request = job_service.ListNasTrialDetailsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_nas_trial_details] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListNasTrialDetailsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def create_batch_prediction_job( + self, + request: Optional[ + Union[job_service.CreateBatchPredictionJobRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + batch_prediction_job: Optional[ + gca_batch_prediction_job.BatchPredictionJob + ] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_batch_prediction_job.BatchPredictionJob: + r"""Creates a BatchPredictionJob. A BatchPredictionJob + once created will right away be attempted to start. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_batch_prediction_job(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + batch_prediction_job = aiplatform_v1.BatchPredictionJob() + batch_prediction_job.display_name = "display_name_value" + batch_prediction_job.input_config.gcs_source.uris = ['uris_value1', 'uris_value2'] + batch_prediction_job.input_config.instances_format = "instances_format_value" + batch_prediction_job.output_config.gcs_destination.output_uri_prefix = "output_uri_prefix_value" + batch_prediction_job.output_config.predictions_format = "predictions_format_value" + + request = aiplatform_v1.CreateBatchPredictionJobRequest( + parent="parent_value", + batch_prediction_job=batch_prediction_job, + ) + + # Make the request + response = client.create_batch_prediction_job(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateBatchPredictionJobRequest, dict]): + The request object. Request message for + [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CreateBatchPredictionJob]. + parent (str): + Required. The resource name of the Location to create + the BatchPredictionJob in. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + batch_prediction_job (google.cloud.aiplatform_v1.types.BatchPredictionJob): + Required. The BatchPredictionJob to + create. + + This corresponds to the ``batch_prediction_job`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.BatchPredictionJob: + A job that uses a + [Model][google.cloud.aiplatform.v1.BatchPredictionJob.model] + to produce predictions on multiple [input + instances][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. + If predictions for significant portion of the + instances fail, the job may finish without attempting + predictions for all remaining instances. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, batch_prediction_job] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.CreateBatchPredictionJobRequest): + request = job_service.CreateBatchPredictionJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if batch_prediction_job is not None: + request.batch_prediction_job = batch_prediction_job + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.create_batch_prediction_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def get_batch_prediction_job( + self, + request: Optional[Union[job_service.GetBatchPredictionJobRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> batch_prediction_job.BatchPredictionJob: + r"""Gets a BatchPredictionJob + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_batch_prediction_job(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetBatchPredictionJobRequest( + name="name_value", + ) + + # Make the request + response = client.get_batch_prediction_job(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetBatchPredictionJobRequest, dict]): + The request object. Request message for + [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob]. + name (str): + Required. The name of the BatchPredictionJob resource. + Format: + ``projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.BatchPredictionJob: + A job that uses a + [Model][google.cloud.aiplatform.v1.BatchPredictionJob.model] + to produce predictions on multiple [input + instances][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. + If predictions for significant portion of the + instances fail, the job may finish without attempting + predictions for all remaining instances. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.GetBatchPredictionJobRequest): + request = job_service.GetBatchPredictionJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_batch_prediction_job] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_batch_prediction_jobs( + self, + request: Optional[ + Union[job_service.ListBatchPredictionJobsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListBatchPredictionJobsPager: + r"""Lists BatchPredictionJobs in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_batch_prediction_jobs(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListBatchPredictionJobsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_batch_prediction_jobs(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListBatchPredictionJobsRequest, dict]): + The request object. Request message for + [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]. + parent (str): + Required. The resource name of the Location to list the + BatchPredictionJobs from. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.job_service.pagers.ListBatchPredictionJobsPager: + Response message for + [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs] + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.ListBatchPredictionJobsRequest): + request = job_service.ListBatchPredictionJobsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.list_batch_prediction_jobs + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListBatchPredictionJobsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def delete_batch_prediction_job( + self, + request: Optional[ + Union[job_service.DeleteBatchPredictionJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes a BatchPredictionJob. Can only be called on + jobs that already finished. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_batch_prediction_job(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteBatchPredictionJobRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_batch_prediction_job(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteBatchPredictionJobRequest, dict]): + The request object. Request message for + [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1.JobService.DeleteBatchPredictionJob]. + name (str): + Required. The name of the BatchPredictionJob resource to + be deleted. Format: + ``projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.DeleteBatchPredictionJobRequest): + request = job_service.DeleteBatchPredictionJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.delete_batch_prediction_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def cancel_batch_prediction_job( + self, + request: Optional[ + Union[job_service.CancelBatchPredictionJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Cancels a BatchPredictionJob. + + Starts asynchronous cancellation on the BatchPredictionJob. The + server makes the best effort to cancel the job, but success is + not guaranteed. Clients can use + [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob] + or other methods to check whether the cancellation succeeded or + whether the job completed despite cancellation. On a successful + cancellation, the BatchPredictionJob is not deleted;instead its + [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state] + is set to ``CANCELLED``. Any files already outputted by the job + are not deleted. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_cancel_batch_prediction_job(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.CancelBatchPredictionJobRequest( + name="name_value", + ) + + # Make the request + client.cancel_batch_prediction_job(request=request) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CancelBatchPredictionJobRequest, dict]): + The request object. Request message for + [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CancelBatchPredictionJob]. + name (str): + Required. The name of the BatchPredictionJob to cancel. + Format: + ``projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.CancelBatchPredictionJobRequest): + request = job_service.CancelBatchPredictionJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.cancel_batch_prediction_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def create_model_deployment_monitoring_job( + self, + request: Optional[ + Union[job_service.CreateModelDeploymentMonitoringJobRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + model_deployment_monitoring_job: Optional[ + gca_model_deployment_monitoring_job.ModelDeploymentMonitoringJob + ] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_model_deployment_monitoring_job.ModelDeploymentMonitoringJob: + r"""Creates a ModelDeploymentMonitoringJob. It will run + periodically on a configured interval. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_model_deployment_monitoring_job(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + model_deployment_monitoring_job = aiplatform_v1.ModelDeploymentMonitoringJob() + model_deployment_monitoring_job.display_name = "display_name_value" + model_deployment_monitoring_job.endpoint = "endpoint_value" + + request = aiplatform_v1.CreateModelDeploymentMonitoringJobRequest( + parent="parent_value", + model_deployment_monitoring_job=model_deployment_monitoring_job, + ) + + # Make the request + response = client.create_model_deployment_monitoring_job(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateModelDeploymentMonitoringJobRequest, dict]): + The request object. Request message for + [JobService.CreateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.CreateModelDeploymentMonitoringJob]. + parent (str): + Required. The parent of the + ModelDeploymentMonitoringJob. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + model_deployment_monitoring_job (google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringJob): + Required. The + ModelDeploymentMonitoringJob to create + + This corresponds to the ``model_deployment_monitoring_job`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringJob: + Represents a job that runs + periodically to monitor the deployed + models in an endpoint. It will analyze + the logged training & prediction data to + detect any abnormal behaviors. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, model_deployment_monitoring_job] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, job_service.CreateModelDeploymentMonitoringJobRequest + ): + request = job_service.CreateModelDeploymentMonitoringJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if model_deployment_monitoring_job is not None: + request.model_deployment_monitoring_job = ( + model_deployment_monitoring_job + ) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.create_model_deployment_monitoring_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def search_model_deployment_monitoring_stats_anomalies( + self, + request: Optional[ + Union[ + job_service.SearchModelDeploymentMonitoringStatsAnomaliesRequest, dict + ] + ] = None, + *, + model_deployment_monitoring_job: Optional[str] = None, + deployed_model_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.SearchModelDeploymentMonitoringStatsAnomaliesPager: + r"""Searches Model Monitoring Statistics generated within + a given time window. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_search_model_deployment_monitoring_stats_anomalies(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest( + model_deployment_monitoring_job="model_deployment_monitoring_job_value", + deployed_model_id="deployed_model_id_value", + ) + + # Make the request + page_result = client.search_model_deployment_monitoring_stats_anomalies(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.SearchModelDeploymentMonitoringStatsAnomaliesRequest, dict]): + The request object. Request message for + [JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies]. + model_deployment_monitoring_job (str): + Required. ModelDeploymentMonitoring Job resource name. + Format: + ``projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`` + + This corresponds to the ``model_deployment_monitoring_job`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + deployed_model_id (str): + Required. The DeployedModel ID of the + [ModelDeploymentMonitoringObjectiveConfig.deployed_model_id]. + + This corresponds to the ``deployed_model_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.job_service.pagers.SearchModelDeploymentMonitoringStatsAnomaliesPager: + Response message for + [JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [model_deployment_monitoring_job, deployed_model_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, job_service.SearchModelDeploymentMonitoringStatsAnomaliesRequest + ): + request = job_service.SearchModelDeploymentMonitoringStatsAnomaliesRequest( + request + ) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if model_deployment_monitoring_job is not None: + request.model_deployment_monitoring_job = ( + model_deployment_monitoring_job + ) + if deployed_model_id is not None: + request.deployed_model_id = deployed_model_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.search_model_deployment_monitoring_stats_anomalies + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + ( + ( + "model_deployment_monitoring_job", + request.model_deployment_monitoring_job, + ), + ) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.SearchModelDeploymentMonitoringStatsAnomaliesPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def get_model_deployment_monitoring_job( + self, + request: Optional[ + Union[job_service.GetModelDeploymentMonitoringJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> model_deployment_monitoring_job.ModelDeploymentMonitoringJob: + r"""Gets a ModelDeploymentMonitoringJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_model_deployment_monitoring_job(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetModelDeploymentMonitoringJobRequest( + name="name_value", + ) + + # Make the request + response = client.get_model_deployment_monitoring_job(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetModelDeploymentMonitoringJobRequest, dict]): + The request object. Request message for + [JobService.GetModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.GetModelDeploymentMonitoringJob]. + name (str): + Required. The resource name of the + ModelDeploymentMonitoringJob. Format: + ``projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringJob: + Represents a job that runs + periodically to monitor the deployed + models in an endpoint. It will analyze + the logged training & prediction data to + detect any abnormal behaviors. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, job_service.GetModelDeploymentMonitoringJobRequest): + request = job_service.GetModelDeploymentMonitoringJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.get_model_deployment_monitoring_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_model_deployment_monitoring_jobs( + self, + request: Optional[ + Union[job_service.ListModelDeploymentMonitoringJobsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListModelDeploymentMonitoringJobsPager: + r"""Lists ModelDeploymentMonitoringJobs in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_model_deployment_monitoring_jobs(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListModelDeploymentMonitoringJobsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_model_deployment_monitoring_jobs(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListModelDeploymentMonitoringJobsRequest, dict]): + The request object. Request message for + [JobService.ListModelDeploymentMonitoringJobs][google.cloud.aiplatform.v1.JobService.ListModelDeploymentMonitoringJobs]. + parent (str): + Required. The parent of the + ModelDeploymentMonitoringJob. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.job_service.pagers.ListModelDeploymentMonitoringJobsPager: + Response message for + [JobService.ListModelDeploymentMonitoringJobs][google.cloud.aiplatform.v1.JobService.ListModelDeploymentMonitoringJobs]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, job_service.ListModelDeploymentMonitoringJobsRequest + ): + request = job_service.ListModelDeploymentMonitoringJobsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.list_model_deployment_monitoring_jobs + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListModelDeploymentMonitoringJobsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def update_model_deployment_monitoring_job( + self, + request: Optional[ + Union[job_service.UpdateModelDeploymentMonitoringJobRequest, dict] + ] = None, + *, + model_deployment_monitoring_job: Optional[ + gca_model_deployment_monitoring_job.ModelDeploymentMonitoringJob + ] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Updates a ModelDeploymentMonitoringJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_update_model_deployment_monitoring_job(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + model_deployment_monitoring_job = aiplatform_v1.ModelDeploymentMonitoringJob() + model_deployment_monitoring_job.display_name = "display_name_value" + model_deployment_monitoring_job.endpoint = "endpoint_value" + + request = aiplatform_v1.UpdateModelDeploymentMonitoringJobRequest( + model_deployment_monitoring_job=model_deployment_monitoring_job, + ) + + # Make the request + operation = client.update_model_deployment_monitoring_job(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UpdateModelDeploymentMonitoringJobRequest, dict]): + The request object. Request message for + [JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.UpdateModelDeploymentMonitoringJob]. + model_deployment_monitoring_job (google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringJob): + Required. The model monitoring + configuration which replaces the + resource on the server. + + This corresponds to the ``model_deployment_monitoring_job`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Required. The update mask is used to specify the fields + to be overwritten in the ModelDeploymentMonitoringJob + resource by the update. The fields specified in the + update_mask are relative to the resource, not the full + request. A field will be overwritten if it is in the + mask. If the user does not provide a mask then only the + non-empty fields present in the request will be + overwritten. Set the update_mask to ``*`` to override + all fields. For the objective config, the user can + either provide the update mask for + model_deployment_monitoring_objective_configs or any + combination of its nested fields, such as: + model_deployment_monitoring_objective_configs.objective_config.training_dataset. + + Updatable fields: + + - ``display_name`` + - ``model_deployment_monitoring_schedule_config`` + - ``model_monitoring_alert_config`` + - ``logging_sampling_strategy`` + - ``labels`` + - ``log_ttl`` + - ``enable_monitoring_pipeline_logs`` . and + - ``model_deployment_monitoring_objective_configs`` . or + - ``model_deployment_monitoring_objective_configs.objective_config.training_dataset`` + - ``model_deployment_monitoring_objective_configs.objective_config.training_prediction_skew_detection_config`` + - ``model_deployment_monitoring_objective_configs.objective_config.prediction_drift_detection_config`` + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringJob` Represents a job that runs periodically to monitor the deployed models in an + endpoint. It will analyze the logged training & + prediction data to detect any abnormal behaviors. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [model_deployment_monitoring_job, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, job_service.UpdateModelDeploymentMonitoringJobRequest + ): + request = job_service.UpdateModelDeploymentMonitoringJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if model_deployment_monitoring_job is not None: + request.model_deployment_monitoring_job = ( + model_deployment_monitoring_job + ) + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.update_model_deployment_monitoring_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + ( + ( + "model_deployment_monitoring_job.name", + request.model_deployment_monitoring_job.name, + ), + ) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + gca_model_deployment_monitoring_job.ModelDeploymentMonitoringJob, + metadata_type=job_service.UpdateModelDeploymentMonitoringJobOperationMetadata, + ) + + # Done; return the response. + return response + + def delete_model_deployment_monitoring_job( + self, + request: Optional[ + Union[job_service.DeleteModelDeploymentMonitoringJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes a ModelDeploymentMonitoringJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_model_deployment_monitoring_job(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteModelDeploymentMonitoringJobRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_model_deployment_monitoring_job(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteModelDeploymentMonitoringJobRequest, dict]): + The request object. Request message for + [JobService.DeleteModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.DeleteModelDeploymentMonitoringJob]. + name (str): + Required. The resource name of the model monitoring job + to delete. Format: + ``projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, job_service.DeleteModelDeploymentMonitoringJobRequest + ): + request = job_service.DeleteModelDeploymentMonitoringJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.delete_model_deployment_monitoring_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def pause_model_deployment_monitoring_job( + self, + request: Optional[ + Union[job_service.PauseModelDeploymentMonitoringJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Pauses a ModelDeploymentMonitoringJob. If the job is running, + the server makes a best effort to cancel the job. Will mark + [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.state] + to 'PAUSED'. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_pause_model_deployment_monitoring_job(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.PauseModelDeploymentMonitoringJobRequest( + name="name_value", + ) + + # Make the request + client.pause_model_deployment_monitoring_job(request=request) + + Args: + request (Union[google.cloud.aiplatform_v1.types.PauseModelDeploymentMonitoringJobRequest, dict]): + The request object. Request message for + [JobService.PauseModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.PauseModelDeploymentMonitoringJob]. + name (str): + Required. The resource name of the + ModelDeploymentMonitoringJob to pause. Format: + ``projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, job_service.PauseModelDeploymentMonitoringJobRequest + ): + request = job_service.PauseModelDeploymentMonitoringJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.pause_model_deployment_monitoring_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def resume_model_deployment_monitoring_job( + self, + request: Optional[ + Union[job_service.ResumeModelDeploymentMonitoringJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Resumes a paused ModelDeploymentMonitoringJob. It + will start to run from next scheduled time. A deleted + ModelDeploymentMonitoringJob can't be resumed. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_resume_model_deployment_monitoring_job(): + # Create a client + client = aiplatform_v1.JobServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ResumeModelDeploymentMonitoringJobRequest( + name="name_value", + ) + + # Make the request + client.resume_model_deployment_monitoring_job(request=request) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ResumeModelDeploymentMonitoringJobRequest, dict]): + The request object. Request message for + [JobService.ResumeModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.ResumeModelDeploymentMonitoringJob]. + name (str): + Required. The resource name of the + ModelDeploymentMonitoringJob to resume. Format: + ``projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, job_service.ResumeModelDeploymentMonitoringJobRequest + ): + request = job_service.ResumeModelDeploymentMonitoringJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.resume_model_deployment_monitoring_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def __enter__(self) -> "JobServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + +__all__ = ("JobServiceClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/job_service/pagers.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/job_service/pagers.py new file mode 100644 index 0000000000000000000000000000000000000000..30024d320a4a1a8be2bf165fdcef585de949a6b4 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/job_service/pagers.py @@ -0,0 +1,1334 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import retry_async as retries_async +from typing import ( + Any, + AsyncIterator, + Awaitable, + Callable, + Sequence, + Tuple, + Optional, + Iterator, + Union, +) + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] + OptionalAsyncRetry = Union[ + retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None + ] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.types import batch_prediction_job +from google.cloud.aiplatform_v1.types import custom_job +from google.cloud.aiplatform_v1.types import data_labeling_job +from google.cloud.aiplatform_v1.types import hyperparameter_tuning_job +from google.cloud.aiplatform_v1.types import job_service +from google.cloud.aiplatform_v1.types import model_deployment_monitoring_job +from google.cloud.aiplatform_v1.types import ( + model_deployment_monitoring_job as gca_model_deployment_monitoring_job, +) +from google.cloud.aiplatform_v1.types import nas_job + + +class ListCustomJobsPager: + """A pager for iterating through ``list_custom_jobs`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListCustomJobsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``custom_jobs`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListCustomJobs`` requests and continue to iterate + through the ``custom_jobs`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListCustomJobsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., job_service.ListCustomJobsResponse], + request: job_service.ListCustomJobsRequest, + response: job_service.ListCustomJobsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListCustomJobsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListCustomJobsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = job_service.ListCustomJobsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[job_service.ListCustomJobsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[custom_job.CustomJob]: + for page in self.pages: + yield from page.custom_jobs + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListCustomJobsAsyncPager: + """A pager for iterating through ``list_custom_jobs`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListCustomJobsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``custom_jobs`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListCustomJobs`` requests and continue to iterate + through the ``custom_jobs`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListCustomJobsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[job_service.ListCustomJobsResponse]], + request: job_service.ListCustomJobsRequest, + response: job_service.ListCustomJobsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListCustomJobsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListCustomJobsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = job_service.ListCustomJobsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[job_service.ListCustomJobsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[custom_job.CustomJob]: + async def async_generator(): + async for page in self.pages: + for response in page.custom_jobs: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListDataLabelingJobsPager: + """A pager for iterating through ``list_data_labeling_jobs`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListDataLabelingJobsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``data_labeling_jobs`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListDataLabelingJobs`` requests and continue to iterate + through the ``data_labeling_jobs`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListDataLabelingJobsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., job_service.ListDataLabelingJobsResponse], + request: job_service.ListDataLabelingJobsRequest, + response: job_service.ListDataLabelingJobsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListDataLabelingJobsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListDataLabelingJobsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = job_service.ListDataLabelingJobsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[job_service.ListDataLabelingJobsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[data_labeling_job.DataLabelingJob]: + for page in self.pages: + yield from page.data_labeling_jobs + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListDataLabelingJobsAsyncPager: + """A pager for iterating through ``list_data_labeling_jobs`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListDataLabelingJobsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``data_labeling_jobs`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListDataLabelingJobs`` requests and continue to iterate + through the ``data_labeling_jobs`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListDataLabelingJobsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[job_service.ListDataLabelingJobsResponse]], + request: job_service.ListDataLabelingJobsRequest, + response: job_service.ListDataLabelingJobsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListDataLabelingJobsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListDataLabelingJobsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = job_service.ListDataLabelingJobsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[job_service.ListDataLabelingJobsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[data_labeling_job.DataLabelingJob]: + async def async_generator(): + async for page in self.pages: + for response in page.data_labeling_jobs: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListHyperparameterTuningJobsPager: + """A pager for iterating through ``list_hyperparameter_tuning_jobs`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListHyperparameterTuningJobsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``hyperparameter_tuning_jobs`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListHyperparameterTuningJobs`` requests and continue to iterate + through the ``hyperparameter_tuning_jobs`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListHyperparameterTuningJobsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., job_service.ListHyperparameterTuningJobsResponse], + request: job_service.ListHyperparameterTuningJobsRequest, + response: job_service.ListHyperparameterTuningJobsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListHyperparameterTuningJobsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListHyperparameterTuningJobsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = job_service.ListHyperparameterTuningJobsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[job_service.ListHyperparameterTuningJobsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[hyperparameter_tuning_job.HyperparameterTuningJob]: + for page in self.pages: + yield from page.hyperparameter_tuning_jobs + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListHyperparameterTuningJobsAsyncPager: + """A pager for iterating through ``list_hyperparameter_tuning_jobs`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListHyperparameterTuningJobsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``hyperparameter_tuning_jobs`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListHyperparameterTuningJobs`` requests and continue to iterate + through the ``hyperparameter_tuning_jobs`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListHyperparameterTuningJobsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[ + ..., Awaitable[job_service.ListHyperparameterTuningJobsResponse] + ], + request: job_service.ListHyperparameterTuningJobsRequest, + response: job_service.ListHyperparameterTuningJobsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListHyperparameterTuningJobsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListHyperparameterTuningJobsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = job_service.ListHyperparameterTuningJobsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages( + self, + ) -> AsyncIterator[job_service.ListHyperparameterTuningJobsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__( + self, + ) -> AsyncIterator[hyperparameter_tuning_job.HyperparameterTuningJob]: + async def async_generator(): + async for page in self.pages: + for response in page.hyperparameter_tuning_jobs: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListNasJobsPager: + """A pager for iterating through ``list_nas_jobs`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListNasJobsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``nas_jobs`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListNasJobs`` requests and continue to iterate + through the ``nas_jobs`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListNasJobsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., job_service.ListNasJobsResponse], + request: job_service.ListNasJobsRequest, + response: job_service.ListNasJobsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListNasJobsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListNasJobsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = job_service.ListNasJobsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[job_service.ListNasJobsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[nas_job.NasJob]: + for page in self.pages: + yield from page.nas_jobs + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListNasJobsAsyncPager: + """A pager for iterating through ``list_nas_jobs`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListNasJobsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``nas_jobs`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListNasJobs`` requests and continue to iterate + through the ``nas_jobs`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListNasJobsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[job_service.ListNasJobsResponse]], + request: job_service.ListNasJobsRequest, + response: job_service.ListNasJobsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListNasJobsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListNasJobsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = job_service.ListNasJobsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[job_service.ListNasJobsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[nas_job.NasJob]: + async def async_generator(): + async for page in self.pages: + for response in page.nas_jobs: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListNasTrialDetailsPager: + """A pager for iterating through ``list_nas_trial_details`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListNasTrialDetailsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``nas_trial_details`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListNasTrialDetails`` requests and continue to iterate + through the ``nas_trial_details`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListNasTrialDetailsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., job_service.ListNasTrialDetailsResponse], + request: job_service.ListNasTrialDetailsRequest, + response: job_service.ListNasTrialDetailsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListNasTrialDetailsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListNasTrialDetailsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = job_service.ListNasTrialDetailsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[job_service.ListNasTrialDetailsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[nas_job.NasTrialDetail]: + for page in self.pages: + yield from page.nas_trial_details + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListNasTrialDetailsAsyncPager: + """A pager for iterating through ``list_nas_trial_details`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListNasTrialDetailsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``nas_trial_details`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListNasTrialDetails`` requests and continue to iterate + through the ``nas_trial_details`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListNasTrialDetailsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[job_service.ListNasTrialDetailsResponse]], + request: job_service.ListNasTrialDetailsRequest, + response: job_service.ListNasTrialDetailsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListNasTrialDetailsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListNasTrialDetailsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = job_service.ListNasTrialDetailsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[job_service.ListNasTrialDetailsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[nas_job.NasTrialDetail]: + async def async_generator(): + async for page in self.pages: + for response in page.nas_trial_details: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListBatchPredictionJobsPager: + """A pager for iterating through ``list_batch_prediction_jobs`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListBatchPredictionJobsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``batch_prediction_jobs`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListBatchPredictionJobs`` requests and continue to iterate + through the ``batch_prediction_jobs`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListBatchPredictionJobsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., job_service.ListBatchPredictionJobsResponse], + request: job_service.ListBatchPredictionJobsRequest, + response: job_service.ListBatchPredictionJobsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListBatchPredictionJobsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListBatchPredictionJobsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = job_service.ListBatchPredictionJobsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[job_service.ListBatchPredictionJobsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[batch_prediction_job.BatchPredictionJob]: + for page in self.pages: + yield from page.batch_prediction_jobs + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListBatchPredictionJobsAsyncPager: + """A pager for iterating through ``list_batch_prediction_jobs`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListBatchPredictionJobsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``batch_prediction_jobs`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListBatchPredictionJobs`` requests and continue to iterate + through the ``batch_prediction_jobs`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListBatchPredictionJobsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[job_service.ListBatchPredictionJobsResponse]], + request: job_service.ListBatchPredictionJobsRequest, + response: job_service.ListBatchPredictionJobsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListBatchPredictionJobsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListBatchPredictionJobsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = job_service.ListBatchPredictionJobsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[job_service.ListBatchPredictionJobsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[batch_prediction_job.BatchPredictionJob]: + async def async_generator(): + async for page in self.pages: + for response in page.batch_prediction_jobs: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class SearchModelDeploymentMonitoringStatsAnomaliesPager: + """A pager for iterating through ``search_model_deployment_monitoring_stats_anomalies`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.SearchModelDeploymentMonitoringStatsAnomaliesResponse` object, and + provides an ``__iter__`` method to iterate through its + ``monitoring_stats`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``SearchModelDeploymentMonitoringStatsAnomalies`` requests and continue to iterate + through the ``monitoring_stats`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.SearchModelDeploymentMonitoringStatsAnomaliesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[ + ..., job_service.SearchModelDeploymentMonitoringStatsAnomaliesResponse + ], + request: job_service.SearchModelDeploymentMonitoringStatsAnomaliesRequest, + response: job_service.SearchModelDeploymentMonitoringStatsAnomaliesResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.SearchModelDeploymentMonitoringStatsAnomaliesRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.SearchModelDeploymentMonitoringStatsAnomaliesResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = ( + job_service.SearchModelDeploymentMonitoringStatsAnomaliesRequest(request) + ) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages( + self, + ) -> Iterator[job_service.SearchModelDeploymentMonitoringStatsAnomaliesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__( + self, + ) -> Iterator[gca_model_deployment_monitoring_job.ModelMonitoringStatsAnomalies]: + for page in self.pages: + yield from page.monitoring_stats + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class SearchModelDeploymentMonitoringStatsAnomaliesAsyncPager: + """A pager for iterating through ``search_model_deployment_monitoring_stats_anomalies`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.SearchModelDeploymentMonitoringStatsAnomaliesResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``monitoring_stats`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``SearchModelDeploymentMonitoringStatsAnomalies`` requests and continue to iterate + through the ``monitoring_stats`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.SearchModelDeploymentMonitoringStatsAnomaliesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[ + ..., + Awaitable[ + job_service.SearchModelDeploymentMonitoringStatsAnomaliesResponse + ], + ], + request: job_service.SearchModelDeploymentMonitoringStatsAnomaliesRequest, + response: job_service.SearchModelDeploymentMonitoringStatsAnomaliesResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.SearchModelDeploymentMonitoringStatsAnomaliesRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.SearchModelDeploymentMonitoringStatsAnomaliesResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = ( + job_service.SearchModelDeploymentMonitoringStatsAnomaliesRequest(request) + ) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages( + self, + ) -> AsyncIterator[ + job_service.SearchModelDeploymentMonitoringStatsAnomaliesResponse + ]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__( + self, + ) -> AsyncIterator[ + gca_model_deployment_monitoring_job.ModelMonitoringStatsAnomalies + ]: + async def async_generator(): + async for page in self.pages: + for response in page.monitoring_stats: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListModelDeploymentMonitoringJobsPager: + """A pager for iterating through ``list_model_deployment_monitoring_jobs`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListModelDeploymentMonitoringJobsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``model_deployment_monitoring_jobs`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListModelDeploymentMonitoringJobs`` requests and continue to iterate + through the ``model_deployment_monitoring_jobs`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListModelDeploymentMonitoringJobsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., job_service.ListModelDeploymentMonitoringJobsResponse], + request: job_service.ListModelDeploymentMonitoringJobsRequest, + response: job_service.ListModelDeploymentMonitoringJobsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListModelDeploymentMonitoringJobsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListModelDeploymentMonitoringJobsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = job_service.ListModelDeploymentMonitoringJobsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[job_service.ListModelDeploymentMonitoringJobsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__( + self, + ) -> Iterator[model_deployment_monitoring_job.ModelDeploymentMonitoringJob]: + for page in self.pages: + yield from page.model_deployment_monitoring_jobs + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListModelDeploymentMonitoringJobsAsyncPager: + """A pager for iterating through ``list_model_deployment_monitoring_jobs`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListModelDeploymentMonitoringJobsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``model_deployment_monitoring_jobs`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListModelDeploymentMonitoringJobs`` requests and continue to iterate + through the ``model_deployment_monitoring_jobs`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListModelDeploymentMonitoringJobsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[ + ..., Awaitable[job_service.ListModelDeploymentMonitoringJobsResponse] + ], + request: job_service.ListModelDeploymentMonitoringJobsRequest, + response: job_service.ListModelDeploymentMonitoringJobsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListModelDeploymentMonitoringJobsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListModelDeploymentMonitoringJobsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = job_service.ListModelDeploymentMonitoringJobsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages( + self, + ) -> AsyncIterator[job_service.ListModelDeploymentMonitoringJobsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__( + self, + ) -> AsyncIterator[model_deployment_monitoring_job.ModelDeploymentMonitoringJob]: + async def async_generator(): + async for page in self.pages: + for response in page.model_deployment_monitoring_jobs: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/llm_utility_service/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/llm_utility_service/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..794046854e55d787ad4244412c92052e524453f5 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/llm_utility_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import LlmUtilityServiceClient +from .async_client import LlmUtilityServiceAsyncClient + +__all__ = ( + "LlmUtilityServiceClient", + "LlmUtilityServiceAsyncClient", +) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/llm_utility_service/async_client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/llm_utility_service/async_client.py new file mode 100644 index 0000000000000000000000000000000000000000..eda2eca20ffff1d7b7f85cf8a4c70b1b81948690 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/llm_utility_service/async_client.py @@ -0,0 +1,1269 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging as std_logging +from collections import OrderedDict +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, +) + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.types import content +from google.cloud.aiplatform_v1.types import llm_utility_service +from google.cloud.aiplatform_v1.types import prediction_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.protobuf.struct_pb2 as struct_pb2 # type: ignore +from .transports.base import LlmUtilityServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import LlmUtilityServiceGrpcAsyncIOTransport +from .client import LlmUtilityServiceClient + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class LlmUtilityServiceAsyncClient: + """Service for LLM related utility functions.""" + + _client: LlmUtilityServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = LlmUtilityServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = LlmUtilityServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = LlmUtilityServiceClient._DEFAULT_ENDPOINT_TEMPLATE + _DEFAULT_UNIVERSE = LlmUtilityServiceClient._DEFAULT_UNIVERSE + + endpoint_path = staticmethod(LlmUtilityServiceClient.endpoint_path) + parse_endpoint_path = staticmethod(LlmUtilityServiceClient.parse_endpoint_path) + rag_corpus_path = staticmethod(LlmUtilityServiceClient.rag_corpus_path) + parse_rag_corpus_path = staticmethod(LlmUtilityServiceClient.parse_rag_corpus_path) + common_billing_account_path = staticmethod( + LlmUtilityServiceClient.common_billing_account_path + ) + parse_common_billing_account_path = staticmethod( + LlmUtilityServiceClient.parse_common_billing_account_path + ) + common_folder_path = staticmethod(LlmUtilityServiceClient.common_folder_path) + parse_common_folder_path = staticmethod( + LlmUtilityServiceClient.parse_common_folder_path + ) + common_organization_path = staticmethod( + LlmUtilityServiceClient.common_organization_path + ) + parse_common_organization_path = staticmethod( + LlmUtilityServiceClient.parse_common_organization_path + ) + common_project_path = staticmethod(LlmUtilityServiceClient.common_project_path) + parse_common_project_path = staticmethod( + LlmUtilityServiceClient.parse_common_project_path + ) + common_location_path = staticmethod(LlmUtilityServiceClient.common_location_path) + parse_common_location_path = staticmethod( + LlmUtilityServiceClient.parse_common_location_path + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + LlmUtilityServiceAsyncClient: The constructed client. + """ + sa_info_func = ( + LlmUtilityServiceClient.from_service_account_info.__func__ # type: ignore + ) + return sa_info_func(LlmUtilityServiceAsyncClient, info, *args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + LlmUtilityServiceAsyncClient: The constructed client. + """ + sa_file_func = ( + LlmUtilityServiceClient.from_service_account_file.__func__ # type: ignore + ) + return sa_file_func(LlmUtilityServiceAsyncClient, filename, *args, **kwargs) + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[ClientOptions] = None + ): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return LlmUtilityServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> LlmUtilityServiceTransport: + """Returns the transport used by the client instance. + + Returns: + LlmUtilityServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = LlmUtilityServiceClient.get_transport_class + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + LlmUtilityServiceTransport, + Callable[..., LlmUtilityServiceTransport], + ] + ] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the llm utility service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,LlmUtilityServiceTransport,Callable[..., LlmUtilityServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport to use. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the LlmUtilityServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = LlmUtilityServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.LlmUtilityServiceAsyncClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.LlmUtilityService", + "universeDomain": getattr( + self._client._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._client._transport._credentials).__module__}.{type(self._client._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, "get_cred_info", lambda: None + )(), + } + if hasattr(self._client._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.LlmUtilityService", + "credentialsType": None, + } + ), + ) + + async def count_tokens( + self, + request: Optional[Union[prediction_service.CountTokensRequest, dict]] = None, + *, + endpoint: Optional[str] = None, + instances: Optional[MutableSequence[struct_pb2.Value]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> prediction_service.CountTokensResponse: + r"""Perform a token counting. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_count_tokens(): + # Create a client + client = aiplatform_v1.LlmUtilityServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.CountTokensRequest( + endpoint="endpoint_value", + ) + + # Make the request + response = await client.count_tokens(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CountTokensRequest, dict]]): + The request object. Request message for [PredictionService.CountTokens][]. + endpoint (:class:`str`): + Required. The name of the Endpoint requested to perform + token counting. Format: + ``projects/{project}/locations/{location}/endpoints/{endpoint}`` + + This corresponds to the ``endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + instances (:class:`MutableSequence[google.protobuf.struct_pb2.Value]`): + Optional. The instances that are the + input to token counting call. Schema is + identical to the prediction schema of + the underlying model. + + This corresponds to the ``instances`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.CountTokensResponse: + Response message for [PredictionService.CountTokens][]. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [endpoint, instances] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, prediction_service.CountTokensRequest): + request = prediction_service.CountTokensRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if endpoint is not None: + request.endpoint = endpoint + if instances: + request.instances.extend(instances) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.count_tokens + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("endpoint", request.endpoint),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def compute_tokens( + self, + request: Optional[Union[llm_utility_service.ComputeTokensRequest, dict]] = None, + *, + endpoint: Optional[str] = None, + instances: Optional[MutableSequence[struct_pb2.Value]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> llm_utility_service.ComputeTokensResponse: + r"""Return a list of tokens based on the input text. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_compute_tokens(): + # Create a client + client = aiplatform_v1.LlmUtilityServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ComputeTokensRequest( + endpoint="endpoint_value", + ) + + # Make the request + response = await client.compute_tokens(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ComputeTokensRequest, dict]]): + The request object. Request message for ComputeTokens RPC + call. + endpoint (:class:`str`): + Required. The name of the Endpoint + requested to get lists of tokens and + token ids. + + This corresponds to the ``endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + instances (:class:`MutableSequence[google.protobuf.struct_pb2.Value]`): + Optional. The instances that are the + input to token computing API call. + Schema is identical to the prediction + schema of the text model, even for the + non-text models, like chat models, or + Codey models. + + This corresponds to the ``instances`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.ComputeTokensResponse: + Response message for ComputeTokens + RPC call. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [endpoint, instances] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, llm_utility_service.ComputeTokensRequest): + request = llm_utility_service.ComputeTokensRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if endpoint is not None: + request.endpoint = endpoint + if instances: + request.instances.extend(instances) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.compute_tokens + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("endpoint", request.endpoint),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[ + self._client._transport.test_iam_permissions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self) -> "LlmUtilityServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +__all__ = ("LlmUtilityServiceAsyncClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/llm_utility_service/client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/llm_utility_service/client.py new file mode 100644 index 0000000000000000000000000000000000000000..19c9bd9c4e03155f78dff9886fd232a8b1220bc6 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/llm_utility_service/client.py @@ -0,0 +1,1793 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from http import HTTPStatus +import json +import logging as std_logging +import os +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, + cast, +) +import warnings + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + +from google.cloud.aiplatform_v1.types import content +from google.cloud.aiplatform_v1.types import llm_utility_service +from google.cloud.aiplatform_v1.types import prediction_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.protobuf.struct_pb2 as struct_pb2 # type: ignore +from .transports.base import LlmUtilityServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import LlmUtilityServiceGrpcTransport +from .transports.grpc_asyncio import LlmUtilityServiceGrpcAsyncIOTransport +from .transports.rest import LlmUtilityServiceRestTransport + +try: + from .transports.rest_asyncio import AsyncLlmUtilityServiceRestTransport + + HAS_ASYNC_REST_DEPENDENCIES = True +except ImportError as e: # pragma: NO COVER + HAS_ASYNC_REST_DEPENDENCIES = False + ASYNC_REST_EXCEPTION = e + + +class LlmUtilityServiceClientMeta(type): + """Metaclass for the LlmUtilityService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + + _transport_registry = ( + OrderedDict() + ) # type: Dict[str, Type[LlmUtilityServiceTransport]] + _transport_registry["grpc"] = LlmUtilityServiceGrpcTransport + _transport_registry["grpc_asyncio"] = LlmUtilityServiceGrpcAsyncIOTransport + _transport_registry["rest"] = LlmUtilityServiceRestTransport + if HAS_ASYNC_REST_DEPENDENCIES: # pragma: NO COVER + _transport_registry["rest_asyncio"] = AsyncLlmUtilityServiceRestTransport + + def get_transport_class( + cls, + label: Optional[str] = None, + ) -> Type[LlmUtilityServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if ( + label == "rest_asyncio" and not HAS_ASYNC_REST_DEPENDENCIES + ): # pragma: NO COVER + raise ASYNC_REST_EXCEPTION + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class LlmUtilityServiceClient(metaclass=LlmUtilityServiceClientMeta): + """Service for LLM related utility functions.""" + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "aiplatform.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @staticmethod + def _use_client_cert_effective(): + """Returns whether client certificate should be used for mTLS if the + google-auth version supports should_use_client_cert automatic mTLS enablement. + + Alternatively, read from the GOOGLE_API_USE_CLIENT_CERTIFICATE env var. + + Returns: + bool: whether client certificate should be used for mTLS + Raises: + ValueError: (If using a version of google-auth without should_use_client_cert and + GOOGLE_API_USE_CLIENT_CERTIFICATE is set to an unexpected value.) + """ + # check if google-auth version supports should_use_client_cert for automatic mTLS enablement + if hasattr(mtls, "should_use_client_cert"): # pragma: NO COVER + return mtls.should_use_client_cert() + else: # pragma: NO COVER + # if unsupported, fallback to reading from env var + use_client_cert_str = os.getenv( + "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false" + ).lower() + if use_client_cert_str not in ("true", "false"): + raise ValueError( + "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be" + " either `true` or `false`" + ) + return use_client_cert_str == "true" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + LlmUtilityServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + LlmUtilityServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file(filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> LlmUtilityServiceTransport: + """Returns the transport used by the client instance. + + Returns: + LlmUtilityServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def endpoint_path( + project: str, + location: str, + endpoint: str, + ) -> str: + """Returns a fully-qualified endpoint string.""" + return "projects/{project}/locations/{location}/endpoints/{endpoint}".format( + project=project, + location=location, + endpoint=endpoint, + ) + + @staticmethod + def parse_endpoint_path(path: str) -> Dict[str, str]: + """Parses a endpoint path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/endpoints/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def rag_corpus_path( + project: str, + location: str, + rag_corpus: str, + ) -> str: + """Returns a fully-qualified rag_corpus string.""" + return "projects/{project}/locations/{location}/ragCorpora/{rag_corpus}".format( + project=project, + location=location, + rag_corpus=rag_corpus, + ) + + @staticmethod + def parse_rag_corpus_path(path: str) -> Dict[str, str]: + """Parses a rag_corpus path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/ragCorpora/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path( + billing_account: str, + ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format( + billing_account=billing_account, + ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str, str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path( + folder: str, + ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format( + folder=folder, + ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str, str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path( + organization: str, + ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format( + organization=organization, + ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str, str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path( + project: str, + ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format( + project=project, + ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str, str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path( + project: str, + location: str, + ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format( + project=project, + location=location, + ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str, str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[client_options_lib.ClientOptions] = None + ): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn( + "get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning, + ) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = LlmUtilityServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert: + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = LlmUtilityServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + return use_client_cert, use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint( + api_override, client_cert_source, universe_domain, use_mtls_endpoint + ): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + _default_universe = LlmUtilityServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError( + f"mTLS is not supported in any universe other than {_default_universe}." + ) + api_endpoint = LlmUtilityServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = LlmUtilityServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format( + UNIVERSE_DOMAIN=universe_domain + ) + return api_endpoint + + @staticmethod + def _get_universe_domain( + client_universe_domain: Optional[str], universe_domain_env: Optional[str] + ) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = LlmUtilityServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + + # NOTE (b/349488459): universe validation is disabled until further notice. + return True + + def _add_cred_info_for_auth_errors( + self, error: core_exceptions.GoogleAPICallError + ) -> None: + """Adds credential info string to error details for 401/403/404 errors. + + Args: + error (google.api_core.exceptions.GoogleAPICallError): The error to add the cred info. + """ + if error.code not in [ + HTTPStatus.UNAUTHORIZED, + HTTPStatus.FORBIDDEN, + HTTPStatus.NOT_FOUND, + ]: + return + + cred = self._transport._credentials + + # get_cred_info is only available in google-auth>=2.35.0 + if not hasattr(cred, "get_cred_info"): + return + + # ignore the type check since pypy test fails when get_cred_info + # is not available + cred_info = cred.get_cred_info() # type: ignore + if cred_info and hasattr(error._details, "append"): + error._details.append(json.dumps(cred_info)) + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + LlmUtilityServiceTransport, + Callable[..., LlmUtilityServiceTransport], + ] + ] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the llm utility service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,LlmUtilityServiceTransport,Callable[..., LlmUtilityServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the LlmUtilityServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast( + client_options_lib.ClientOptions, self._client_options + ) + + universe_domain_opt = getattr(self._client_options, "universe_domain", None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = ( + LlmUtilityServiceClient._read_environment_variables() + ) + self._client_cert_source = LlmUtilityServiceClient._get_client_cert_source( + self._client_options.client_cert_source, self._use_client_cert + ) + self._universe_domain = LlmUtilityServiceClient._get_universe_domain( + universe_domain_opt, self._universe_domain_env + ) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + if CLIENT_LOGGING_SUPPORTED: # pragma: NO COVER + # Setup logging. + client_logging.initialize_logging() + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError( + "client_options.api_key and credentials are mutually exclusive" + ) + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance(transport, LlmUtilityServiceTransport) + if transport_provided: + # transport is a LlmUtilityServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError( + "When providing a transport instance, " + "provide its credentials directly." + ) + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(LlmUtilityServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = ( + self._api_endpoint + or LlmUtilityServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint, + ) + ) + + if not transport_provided: + transport_init: Union[ + Type[LlmUtilityServiceTransport], + Callable[..., LlmUtilityServiceTransport], + ] = ( + LlmUtilityServiceClient.get_transport_class(transport) + if isinstance(transport, str) or transport is None + else cast(Callable[..., LlmUtilityServiceTransport], transport) + ) + + if "rest_asyncio" in str(transport_init): + unsupported_params = { + "google.api_core.client_options.ClientOptions.credentials_file": self._client_options.credentials_file, + "google.api_core.client_options.ClientOptions.scopes": self._client_options.scopes, + "google.api_core.client_options.ClientOptions.quota_project_id": self._client_options.quota_project_id, + "google.api_core.client_options.ClientOptions.client_cert_source": self._client_options.client_cert_source, + "google.api_core.client_options.ClientOptions.api_audience": self._client_options.api_audience, + } + provided_unsupported_params = [ + name + for name, value in unsupported_params.items() + if value is not None + ] + if provided_unsupported_params: + raise core_exceptions.AsyncRestUnsupportedParameterError( # type: ignore + f"The following provided parameters are not supported for `transport=rest_asyncio`: {', '.join(provided_unsupported_params)}" + ) + self._transport = transport_init( + credentials=credentials, + host=self._api_endpoint, + client_info=client_info, + ) + return + + import google.auth._default # type: ignore + + if api_key_value and hasattr( + google.auth._default, "get_api_key_credentials" + ): + credentials = google.auth._default.get_api_key_credentials( + api_key_value + ) + + # initialize with the provided callable or the passed in class + self._transport = transport_init( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + if "async" not in str(self._transport): + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.LlmUtilityServiceClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.LlmUtilityService", + "universeDomain": getattr( + self._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._transport._credentials).__module__}.{type(self._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, + "get_cred_info", + lambda: None, + )(), + } + if hasattr(self._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.LlmUtilityService", + "credentialsType": None, + } + ), + ) + + def count_tokens( + self, + request: Optional[Union[prediction_service.CountTokensRequest, dict]] = None, + *, + endpoint: Optional[str] = None, + instances: Optional[MutableSequence[struct_pb2.Value]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> prediction_service.CountTokensResponse: + r"""Perform a token counting. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_count_tokens(): + # Create a client + client = aiplatform_v1.LlmUtilityServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.CountTokensRequest( + endpoint="endpoint_value", + ) + + # Make the request + response = client.count_tokens(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CountTokensRequest, dict]): + The request object. Request message for [PredictionService.CountTokens][]. + endpoint (str): + Required. The name of the Endpoint requested to perform + token counting. Format: + ``projects/{project}/locations/{location}/endpoints/{endpoint}`` + + This corresponds to the ``endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + instances (MutableSequence[google.protobuf.struct_pb2.Value]): + Optional. The instances that are the + input to token counting call. Schema is + identical to the prediction schema of + the underlying model. + + This corresponds to the ``instances`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.CountTokensResponse: + Response message for [PredictionService.CountTokens][]. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [endpoint, instances] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, prediction_service.CountTokensRequest): + request = prediction_service.CountTokensRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if endpoint is not None: + request.endpoint = endpoint + if instances is not None: + request.instances.extend(instances) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.count_tokens] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("endpoint", request.endpoint),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def compute_tokens( + self, + request: Optional[Union[llm_utility_service.ComputeTokensRequest, dict]] = None, + *, + endpoint: Optional[str] = None, + instances: Optional[MutableSequence[struct_pb2.Value]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> llm_utility_service.ComputeTokensResponse: + r"""Return a list of tokens based on the input text. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_compute_tokens(): + # Create a client + client = aiplatform_v1.LlmUtilityServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ComputeTokensRequest( + endpoint="endpoint_value", + ) + + # Make the request + response = client.compute_tokens(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ComputeTokensRequest, dict]): + The request object. Request message for ComputeTokens RPC + call. + endpoint (str): + Required. The name of the Endpoint + requested to get lists of tokens and + token ids. + + This corresponds to the ``endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + instances (MutableSequence[google.protobuf.struct_pb2.Value]): + Optional. The instances that are the + input to token computing API call. + Schema is identical to the prediction + schema of the text model, even for the + non-text models, like chat models, or + Codey models. + + This corresponds to the ``instances`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.ComputeTokensResponse: + Response message for ComputeTokens + RPC call. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [endpoint, instances] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, llm_utility_service.ComputeTokensRequest): + request = llm_utility_service.ComputeTokensRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if endpoint is not None: + request.endpoint = endpoint + if instances is not None: + request.instances.extend(instances) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.compute_tokens] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("endpoint", request.endpoint),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def __enter__(self) -> "LlmUtilityServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + +__all__ = ("LlmUtilityServiceClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..418b6338d1ae03e4911399df888397b8fbfaedde --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import MatchServiceClient +from .async_client import MatchServiceAsyncClient + +__all__ = ( + "MatchServiceClient", + "MatchServiceAsyncClient", +) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/__pycache__/__init__.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/__pycache__/__init__.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..49c5ca1700a072921c84a3287cb6351a4efd05fc Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/__pycache__/__init__.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/__pycache__/async_client.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/__pycache__/async_client.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..2db987281acc46c2bfddc0777435d7c15a27e5b2 Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/__pycache__/async_client.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/__pycache__/client.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/__pycache__/client.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..b8e63878e38d45c1dc627f42f27da3706167f4ab Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/__pycache__/client.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/async_client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/async_client.py new file mode 100644 index 0000000000000000000000000000000000000000..e001ef9a8ae19aa6563dd06e2879dded8f032a03 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/async_client.py @@ -0,0 +1,1193 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging as std_logging +from collections import OrderedDict +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, +) + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.types import index +from google.cloud.aiplatform_v1.types import match_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .transports.base import MatchServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import MatchServiceGrpcAsyncIOTransport +from .client import MatchServiceClient + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class MatchServiceAsyncClient: + """MatchService is a Google managed service for efficient vector + similarity search at scale. + """ + + _client: MatchServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = MatchServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = MatchServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = MatchServiceClient._DEFAULT_ENDPOINT_TEMPLATE + _DEFAULT_UNIVERSE = MatchServiceClient._DEFAULT_UNIVERSE + + index_endpoint_path = staticmethod(MatchServiceClient.index_endpoint_path) + parse_index_endpoint_path = staticmethod( + MatchServiceClient.parse_index_endpoint_path + ) + common_billing_account_path = staticmethod( + MatchServiceClient.common_billing_account_path + ) + parse_common_billing_account_path = staticmethod( + MatchServiceClient.parse_common_billing_account_path + ) + common_folder_path = staticmethod(MatchServiceClient.common_folder_path) + parse_common_folder_path = staticmethod(MatchServiceClient.parse_common_folder_path) + common_organization_path = staticmethod(MatchServiceClient.common_organization_path) + parse_common_organization_path = staticmethod( + MatchServiceClient.parse_common_organization_path + ) + common_project_path = staticmethod(MatchServiceClient.common_project_path) + parse_common_project_path = staticmethod( + MatchServiceClient.parse_common_project_path + ) + common_location_path = staticmethod(MatchServiceClient.common_location_path) + parse_common_location_path = staticmethod( + MatchServiceClient.parse_common_location_path + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + MatchServiceAsyncClient: The constructed client. + """ + sa_info_func = ( + MatchServiceClient.from_service_account_info.__func__ # type: ignore + ) + return sa_info_func(MatchServiceAsyncClient, info, *args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + MatchServiceAsyncClient: The constructed client. + """ + sa_file_func = ( + MatchServiceClient.from_service_account_file.__func__ # type: ignore + ) + return sa_file_func(MatchServiceAsyncClient, filename, *args, **kwargs) + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[ClientOptions] = None + ): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return MatchServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> MatchServiceTransport: + """Returns the transport used by the client instance. + + Returns: + MatchServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = MatchServiceClient.get_transport_class + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[str, MatchServiceTransport, Callable[..., MatchServiceTransport]] + ] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the match service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,MatchServiceTransport,Callable[..., MatchServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport to use. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the MatchServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = MatchServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.MatchServiceAsyncClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "universeDomain": getattr( + self._client._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._client._transport._credentials).__module__}.{type(self._client._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, "get_cred_info", lambda: None + )(), + } + if hasattr(self._client._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "credentialsType": None, + } + ), + ) + + async def find_neighbors( + self, + request: Optional[Union[match_service.FindNeighborsRequest, dict]] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> match_service.FindNeighborsResponse: + r"""Finds the nearest neighbors of each vector within the + request. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_find_neighbors(): + # Create a client + client = aiplatform_v1.MatchServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.FindNeighborsRequest( + index_endpoint="index_endpoint_value", + ) + + # Make the request + response = await client.find_neighbors(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.FindNeighborsRequest, dict]]): + The request object. The request message for + [MatchService.FindNeighbors][google.cloud.aiplatform.v1.MatchService.FindNeighbors]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.FindNeighborsResponse: + The response message for + [MatchService.FindNeighbors][google.cloud.aiplatform.v1.MatchService.FindNeighbors]. + + """ + # Create or coerce a protobuf request object. + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, match_service.FindNeighborsRequest): + request = match_service.FindNeighborsRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.find_neighbors + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("index_endpoint", request.index_endpoint),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def read_index_datapoints( + self, + request: Optional[Union[match_service.ReadIndexDatapointsRequest, dict]] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> match_service.ReadIndexDatapointsResponse: + r"""Reads the datapoints/vectors of the given IDs. + A maximum of 1000 datapoints can be retrieved in a + batch. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_read_index_datapoints(): + # Create a client + client = aiplatform_v1.MatchServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ReadIndexDatapointsRequest( + index_endpoint="index_endpoint_value", + ) + + # Make the request + response = await client.read_index_datapoints(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ReadIndexDatapointsRequest, dict]]): + The request object. The request message for + [MatchService.ReadIndexDatapoints][google.cloud.aiplatform.v1.MatchService.ReadIndexDatapoints]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.ReadIndexDatapointsResponse: + The response message for + [MatchService.ReadIndexDatapoints][google.cloud.aiplatform.v1.MatchService.ReadIndexDatapoints]. + + """ + # Create or coerce a protobuf request object. + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, match_service.ReadIndexDatapointsRequest): + request = match_service.ReadIndexDatapointsRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.read_index_datapoints + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("index_endpoint", request.index_endpoint),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[ + self._client._transport.test_iam_permissions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self) -> "MatchServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +__all__ = ("MatchServiceAsyncClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/client.py new file mode 100644 index 0000000000000000000000000000000000000000..7daece93c98d03a5ee53dfcf58b1f0b799d00a76 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/client.py @@ -0,0 +1,1695 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from http import HTTPStatus +import json +import logging as std_logging +import os +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, + cast, +) +import warnings + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + +from google.cloud.aiplatform_v1.types import index +from google.cloud.aiplatform_v1.types import match_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .transports.base import MatchServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import MatchServiceGrpcTransport +from .transports.grpc_asyncio import MatchServiceGrpcAsyncIOTransport +from .transports.rest import MatchServiceRestTransport + +try: + from .transports.rest_asyncio import AsyncMatchServiceRestTransport + + HAS_ASYNC_REST_DEPENDENCIES = True +except ImportError as e: # pragma: NO COVER + HAS_ASYNC_REST_DEPENDENCIES = False + ASYNC_REST_EXCEPTION = e + + +class MatchServiceClientMeta(type): + """Metaclass for the MatchService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + + _transport_registry = OrderedDict() # type: Dict[str, Type[MatchServiceTransport]] + _transport_registry["grpc"] = MatchServiceGrpcTransport + _transport_registry["grpc_asyncio"] = MatchServiceGrpcAsyncIOTransport + _transport_registry["rest"] = MatchServiceRestTransport + if HAS_ASYNC_REST_DEPENDENCIES: # pragma: NO COVER + _transport_registry["rest_asyncio"] = AsyncMatchServiceRestTransport + + def get_transport_class( + cls, + label: Optional[str] = None, + ) -> Type[MatchServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if ( + label == "rest_asyncio" and not HAS_ASYNC_REST_DEPENDENCIES + ): # pragma: NO COVER + raise ASYNC_REST_EXCEPTION + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class MatchServiceClient(metaclass=MatchServiceClientMeta): + """MatchService is a Google managed service for efficient vector + similarity search at scale. + """ + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "aiplatform.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @staticmethod + def _use_client_cert_effective(): + """Returns whether client certificate should be used for mTLS if the + google-auth version supports should_use_client_cert automatic mTLS enablement. + + Alternatively, read from the GOOGLE_API_USE_CLIENT_CERTIFICATE env var. + + Returns: + bool: whether client certificate should be used for mTLS + Raises: + ValueError: (If using a version of google-auth without should_use_client_cert and + GOOGLE_API_USE_CLIENT_CERTIFICATE is set to an unexpected value.) + """ + # check if google-auth version supports should_use_client_cert for automatic mTLS enablement + if hasattr(mtls, "should_use_client_cert"): # pragma: NO COVER + return mtls.should_use_client_cert() + else: # pragma: NO COVER + # if unsupported, fallback to reading from env var + use_client_cert_str = os.getenv( + "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false" + ).lower() + if use_client_cert_str not in ("true", "false"): + raise ValueError( + "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be" + " either `true` or `false`" + ) + return use_client_cert_str == "true" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + MatchServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + MatchServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file(filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> MatchServiceTransport: + """Returns the transport used by the client instance. + + Returns: + MatchServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def index_endpoint_path( + project: str, + location: str, + index_endpoint: str, + ) -> str: + """Returns a fully-qualified index_endpoint string.""" + return "projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}".format( + project=project, + location=location, + index_endpoint=index_endpoint, + ) + + @staticmethod + def parse_index_endpoint_path(path: str) -> Dict[str, str]: + """Parses a index_endpoint path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/indexEndpoints/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path( + billing_account: str, + ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format( + billing_account=billing_account, + ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str, str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path( + folder: str, + ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format( + folder=folder, + ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str, str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path( + organization: str, + ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format( + organization=organization, + ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str, str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path( + project: str, + ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format( + project=project, + ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str, str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path( + project: str, + location: str, + ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format( + project=project, + location=location, + ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str, str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[client_options_lib.ClientOptions] = None + ): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn( + "get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning, + ) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = MatchServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert: + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = MatchServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + return use_client_cert, use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint( + api_override, client_cert_source, universe_domain, use_mtls_endpoint + ): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + _default_universe = MatchServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError( + f"mTLS is not supported in any universe other than {_default_universe}." + ) + api_endpoint = MatchServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = MatchServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format( + UNIVERSE_DOMAIN=universe_domain + ) + return api_endpoint + + @staticmethod + def _get_universe_domain( + client_universe_domain: Optional[str], universe_domain_env: Optional[str] + ) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = MatchServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + + # NOTE (b/349488459): universe validation is disabled until further notice. + return True + + def _add_cred_info_for_auth_errors( + self, error: core_exceptions.GoogleAPICallError + ) -> None: + """Adds credential info string to error details for 401/403/404 errors. + + Args: + error (google.api_core.exceptions.GoogleAPICallError): The error to add the cred info. + """ + if error.code not in [ + HTTPStatus.UNAUTHORIZED, + HTTPStatus.FORBIDDEN, + HTTPStatus.NOT_FOUND, + ]: + return + + cred = self._transport._credentials + + # get_cred_info is only available in google-auth>=2.35.0 + if not hasattr(cred, "get_cred_info"): + return + + # ignore the type check since pypy test fails when get_cred_info + # is not available + cred_info = cred.get_cred_info() # type: ignore + if cred_info and hasattr(error._details, "append"): + error._details.append(json.dumps(cred_info)) + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[str, MatchServiceTransport, Callable[..., MatchServiceTransport]] + ] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the match service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,MatchServiceTransport,Callable[..., MatchServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the MatchServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast( + client_options_lib.ClientOptions, self._client_options + ) + + universe_domain_opt = getattr(self._client_options, "universe_domain", None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = ( + MatchServiceClient._read_environment_variables() + ) + self._client_cert_source = MatchServiceClient._get_client_cert_source( + self._client_options.client_cert_source, self._use_client_cert + ) + self._universe_domain = MatchServiceClient._get_universe_domain( + universe_domain_opt, self._universe_domain_env + ) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + if CLIENT_LOGGING_SUPPORTED: # pragma: NO COVER + # Setup logging. + client_logging.initialize_logging() + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError( + "client_options.api_key and credentials are mutually exclusive" + ) + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance(transport, MatchServiceTransport) + if transport_provided: + # transport is a MatchServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError( + "When providing a transport instance, " + "provide its credentials directly." + ) + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(MatchServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = self._api_endpoint or MatchServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint, + ) + + if not transport_provided: + transport_init: Union[ + Type[MatchServiceTransport], Callable[..., MatchServiceTransport] + ] = ( + MatchServiceClient.get_transport_class(transport) + if isinstance(transport, str) or transport is None + else cast(Callable[..., MatchServiceTransport], transport) + ) + + if "rest_asyncio" in str(transport_init): + unsupported_params = { + "google.api_core.client_options.ClientOptions.credentials_file": self._client_options.credentials_file, + "google.api_core.client_options.ClientOptions.scopes": self._client_options.scopes, + "google.api_core.client_options.ClientOptions.quota_project_id": self._client_options.quota_project_id, + "google.api_core.client_options.ClientOptions.client_cert_source": self._client_options.client_cert_source, + "google.api_core.client_options.ClientOptions.api_audience": self._client_options.api_audience, + } + provided_unsupported_params = [ + name + for name, value in unsupported_params.items() + if value is not None + ] + if provided_unsupported_params: + raise core_exceptions.AsyncRestUnsupportedParameterError( # type: ignore + f"The following provided parameters are not supported for `transport=rest_asyncio`: {', '.join(provided_unsupported_params)}" + ) + self._transport = transport_init( + credentials=credentials, + host=self._api_endpoint, + client_info=client_info, + ) + return + + import google.auth._default # type: ignore + + if api_key_value and hasattr( + google.auth._default, "get_api_key_credentials" + ): + credentials = google.auth._default.get_api_key_credentials( + api_key_value + ) + + # initialize with the provided callable or the passed in class + self._transport = transport_init( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + if "async" not in str(self._transport): + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.MatchServiceClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "universeDomain": getattr( + self._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._transport._credentials).__module__}.{type(self._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, + "get_cred_info", + lambda: None, + )(), + } + if hasattr(self._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "credentialsType": None, + } + ), + ) + + def find_neighbors( + self, + request: Optional[Union[match_service.FindNeighborsRequest, dict]] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> match_service.FindNeighborsResponse: + r"""Finds the nearest neighbors of each vector within the + request. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_find_neighbors(): + # Create a client + client = aiplatform_v1.MatchServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.FindNeighborsRequest( + index_endpoint="index_endpoint_value", + ) + + # Make the request + response = client.find_neighbors(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.FindNeighborsRequest, dict]): + The request object. The request message for + [MatchService.FindNeighbors][google.cloud.aiplatform.v1.MatchService.FindNeighbors]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.FindNeighborsResponse: + The response message for + [MatchService.FindNeighbors][google.cloud.aiplatform.v1.MatchService.FindNeighbors]. + + """ + # Create or coerce a protobuf request object. + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, match_service.FindNeighborsRequest): + request = match_service.FindNeighborsRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.find_neighbors] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("index_endpoint", request.index_endpoint),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def read_index_datapoints( + self, + request: Optional[Union[match_service.ReadIndexDatapointsRequest, dict]] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> match_service.ReadIndexDatapointsResponse: + r"""Reads the datapoints/vectors of the given IDs. + A maximum of 1000 datapoints can be retrieved in a + batch. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_read_index_datapoints(): + # Create a client + client = aiplatform_v1.MatchServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ReadIndexDatapointsRequest( + index_endpoint="index_endpoint_value", + ) + + # Make the request + response = client.read_index_datapoints(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ReadIndexDatapointsRequest, dict]): + The request object. The request message for + [MatchService.ReadIndexDatapoints][google.cloud.aiplatform.v1.MatchService.ReadIndexDatapoints]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.ReadIndexDatapointsResponse: + The response message for + [MatchService.ReadIndexDatapoints][google.cloud.aiplatform.v1.MatchService.ReadIndexDatapoints]. + + """ + # Create or coerce a protobuf request object. + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, match_service.ReadIndexDatapointsRequest): + request = match_service.ReadIndexDatapointsRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.read_index_datapoints] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("index_endpoint", request.index_endpoint),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def __enter__(self) -> "MatchServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + +__all__ = ("MatchServiceClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/transports/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/transports/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..ab63d1e630dd2c6322b8a32ccf416e9f5217d9e8 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/transports/__init__.py @@ -0,0 +1,54 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from typing import Dict, Type, Tuple + +from .base import MatchServiceTransport +from .grpc import MatchServiceGrpcTransport +from .grpc_asyncio import MatchServiceGrpcAsyncIOTransport +from .rest import MatchServiceRestTransport +from .rest import MatchServiceRestInterceptor + +ASYNC_REST_CLASSES: Tuple[str, ...] +try: + from .rest_asyncio import AsyncMatchServiceRestTransport + from .rest_asyncio import AsyncMatchServiceRestInterceptor + + ASYNC_REST_CLASSES = ( + "AsyncMatchServiceRestTransport", + "AsyncMatchServiceRestInterceptor", + ) + HAS_REST_ASYNC = True +except ImportError: # pragma: NO COVER + ASYNC_REST_CLASSES = () + HAS_REST_ASYNC = False + + +# Compile a registry of transports. +_transport_registry = OrderedDict() # type: Dict[str, Type[MatchServiceTransport]] +_transport_registry["grpc"] = MatchServiceGrpcTransport +_transport_registry["grpc_asyncio"] = MatchServiceGrpcAsyncIOTransport +_transport_registry["rest"] = MatchServiceRestTransport +if HAS_REST_ASYNC: # pragma: NO COVER + _transport_registry["rest_asyncio"] = AsyncMatchServiceRestTransport + +__all__ = ( + "MatchServiceTransport", + "MatchServiceGrpcTransport", + "MatchServiceGrpcAsyncIOTransport", + 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License. +# +import abc +from typing import Awaitable, Callable, Dict, Optional, Sequence, Union + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +import google.auth # type: ignore +import google.api_core +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +from google.cloud.aiplatform_v1.types import match_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +class MatchServiceTransport(abc.ABC): + """Abstract transport class for MatchService.""" + + AUTH_SCOPES = ("https://www.googleapis.com/auth/cloud-platform",) + + DEFAULT_HOST: str = "aiplatform.googleapis.com" + + def __init__( + self, + *, + host: str = DEFAULT_HOST, + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + **kwargs, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. This argument will be + removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A list of scopes. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + """ + + # Save the scopes. + self._scopes = scopes + if not hasattr(self, "_ignore_credentials"): + self._ignore_credentials: bool = False + + # If no credentials are provided, then determine the appropriate + # defaults. + if credentials and credentials_file: + raise core_exceptions.DuplicateCredentialArgs( + "'credentials_file' and 'credentials' are mutually exclusive" + ) + + if credentials_file is not None: + credentials, _ = google.auth.load_credentials_from_file( + credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + default_scopes=self.AUTH_SCOPES, + ) + elif credentials is None and not self._ignore_credentials: + credentials, _ = google.auth.default( + scopes=scopes, + quota_project_id=quota_project_id, + default_scopes=self.AUTH_SCOPES, + ) + # Don't apply audience if the credentials file passed from user. + if hasattr(credentials, "with_gdch_audience"): + credentials = credentials.with_gdch_audience( + api_audience if api_audience else host + ) + + # If the credentials are service account credentials, then always try to use self signed JWT. + if ( + always_use_jwt_access + and isinstance(credentials, service_account.Credentials) + and hasattr(service_account.Credentials, "with_always_use_jwt_access") + ): + credentials = credentials.with_always_use_jwt_access(True) + + # Save the credentials. + self._credentials = credentials + + # Save the hostname. Default to port 443 (HTTPS) if none is specified. + if ":" not in host: + host += ":443" + self._host = host + + @property + def host(self): + return self._host + + def _prep_wrapped_messages(self, client_info): + # Precompute the wrapped methods. + self._wrapped_methods = { + self.find_neighbors: gapic_v1.method.wrap_method( + self.find_neighbors, + default_timeout=None, + client_info=client_info, + ), + self.read_index_datapoints: gapic_v1.method.wrap_method( + self.read_index_datapoints, + default_timeout=None, + client_info=client_info, + ), + self.get_location: gapic_v1.method.wrap_method( + self.get_location, + default_timeout=None, + client_info=client_info, + ), + self.list_locations: gapic_v1.method.wrap_method( + self.list_locations, + default_timeout=None, + client_info=client_info, + ), + self.get_iam_policy: gapic_v1.method.wrap_method( + self.get_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.set_iam_policy: gapic_v1.method.wrap_method( + self.set_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.test_iam_permissions: gapic_v1.method.wrap_method( + self.test_iam_permissions, + default_timeout=None, + client_info=client_info, + ), + self.cancel_operation: gapic_v1.method.wrap_method( + self.cancel_operation, + default_timeout=None, + client_info=client_info, + ), + self.delete_operation: gapic_v1.method.wrap_method( + self.delete_operation, + default_timeout=None, + client_info=client_info, + ), + self.get_operation: gapic_v1.method.wrap_method( + self.get_operation, + default_timeout=None, + client_info=client_info, + ), + self.list_operations: gapic_v1.method.wrap_method( + self.list_operations, + default_timeout=None, + client_info=client_info, + ), + self.wait_operation: gapic_v1.method.wrap_method( + self.wait_operation, + default_timeout=None, + client_info=client_info, + ), + } + + def close(self): + """Closes resources associated with the transport. + + .. warning:: + Only call this method if the transport is NOT shared + with other clients - this may cause errors in other clients! + """ + raise NotImplementedError() + + @property + def find_neighbors( + self, + ) -> Callable[ + [match_service.FindNeighborsRequest], + Union[ + match_service.FindNeighborsResponse, + Awaitable[match_service.FindNeighborsResponse], + ], + ]: + raise NotImplementedError() + + @property + def read_index_datapoints( + self, + ) -> Callable[ + [match_service.ReadIndexDatapointsRequest], + Union[ + match_service.ReadIndexDatapointsResponse, + Awaitable[match_service.ReadIndexDatapointsResponse], + ], + ]: + raise NotImplementedError() + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], + Union[ + operations_pb2.ListOperationsResponse, + Awaitable[operations_pb2.ListOperationsResponse], + ], + ]: + raise NotImplementedError() + + @property + def get_operation( + self, + ) -> Callable[ + [operations_pb2.GetOperationRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def cancel_operation( + self, + ) -> Callable[ + [operations_pb2.CancelOperationRequest], + None, + ]: + raise NotImplementedError() + + @property + def delete_operation( + self, + ) -> Callable[ + [operations_pb2.DeleteOperationRequest], + None, + ]: + raise NotImplementedError() + + @property + def wait_operation( + self, + ) -> Callable[ + [operations_pb2.WaitOperationRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def set_iam_policy( + self, + ) -> Callable[ + [iam_policy_pb2.SetIamPolicyRequest], + Union[policy_pb2.Policy, Awaitable[policy_pb2.Policy]], + ]: + raise NotImplementedError() + + @property + def get_iam_policy( + self, + ) -> Callable[ + [iam_policy_pb2.GetIamPolicyRequest], + Union[policy_pb2.Policy, Awaitable[policy_pb2.Policy]], + ]: + raise NotImplementedError() + + @property + def test_iam_permissions( + self, + ) -> Callable[ + [iam_policy_pb2.TestIamPermissionsRequest], + Union[ + iam_policy_pb2.TestIamPermissionsResponse, + Awaitable[iam_policy_pb2.TestIamPermissionsResponse], + ], + ]: + raise NotImplementedError() + + @property + def get_location( + self, + ) -> Callable[ + [locations_pb2.GetLocationRequest], + Union[locations_pb2.Location, Awaitable[locations_pb2.Location]], + ]: + raise NotImplementedError() + + @property + def list_locations( + self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], + Union[ + locations_pb2.ListLocationsResponse, + Awaitable[locations_pb2.ListLocationsResponse], + ], + ]: + raise NotImplementedError() + + @property + def kind(self) -> str: + raise NotImplementedError() + + +__all__ = ("MatchServiceTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/transports/grpc.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/transports/grpc.py new file mode 100644 index 0000000000000000000000000000000000000000..d60a2a65a71bbe7450e2213d27a71162c261e443 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/transports/grpc.py @@ -0,0 +1,601 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import json +import logging as std_logging +import pickle +import warnings +from typing import Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import grpc_helpers +from google.api_core import gapic_v1 +import google.auth # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.protobuf.json_format import MessageToJson +import google.protobuf.message + +import grpc # type: ignore +import proto # type: ignore + +from google.cloud.aiplatform_v1.types import match_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .base import MatchServiceTransport, DEFAULT_CLIENT_INFO + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class _LoggingClientInterceptor(grpc.UnaryUnaryClientInterceptor): # pragma: NO COVER + def intercept_unary_unary(self, continuation, client_call_details, request): + logging_enabled = CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ) + if logging_enabled: # pragma: NO COVER + request_metadata = client_call_details.metadata + if isinstance(request, proto.Message): + request_payload = type(request).to_json(request) + elif isinstance(request, google.protobuf.message.Message): + request_payload = MessageToJson(request) + else: + request_payload = f"{type(request).__name__}: {pickle.dumps(request)}" + + request_metadata = { + key: value.decode("utf-8") if isinstance(value, bytes) else value + for key, value in request_metadata + } + grpc_request = { + "payload": request_payload, + "requestMethod": "grpc", + "metadata": dict(request_metadata), + } + _LOGGER.debug( + f"Sending request for {client_call_details.method}", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": str(client_call_details.method), + "request": grpc_request, + "metadata": grpc_request["metadata"], + }, + ) + response = continuation(client_call_details, request) + if logging_enabled: # pragma: NO COVER + response_metadata = response.trailing_metadata() + # Convert gRPC metadata `` to list of tuples + metadata = ( + dict([(k, str(v)) for k, v in response_metadata]) + if response_metadata + else None + ) + result = response.result() + if isinstance(result, proto.Message): + response_payload = type(result).to_json(result) + elif isinstance(result, google.protobuf.message.Message): + response_payload = MessageToJson(result) + else: + response_payload = f"{type(result).__name__}: {pickle.dumps(result)}" + grpc_response = { + "payload": response_payload, + "metadata": metadata, + "status": "OK", + } + _LOGGER.debug( + f"Received response for {client_call_details.method}.", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": client_call_details.method, + "response": grpc_response, + "metadata": grpc_response["metadata"], + }, + ) + return response + + +class MatchServiceGrpcTransport(MatchServiceTransport): + """gRPC backend transport for MatchService. + + MatchService is a Google managed service for efficient vector + similarity search at scale. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + + _stubs: Dict[str, Callable] + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]] = None, + api_mtls_endpoint: Optional[str] = None, + client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if a ``channel`` instance is provided. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if a ``channel`` instance is provided. + This argument will be removed in the next major version of this library. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if a ``channel`` instance is provided. + channel (Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]]): + A ``Channel`` instance through which to make calls, or a Callable + that constructs and returns one. If set to None, ``self.create_channel`` + is used to create the channel. If a Callable is given, it will be called + with the same arguments as used in ``self.create_channel``. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if a ``channel`` instance is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if isinstance(channel, grpc.Channel): + # Ignore credentials if a channel was passed. + credentials = None + self._ignore_credentials = True + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + # initialize with the provided callable or the default channel + channel_init = channel or type(self).create_channel + self._grpc_channel = channel_init( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + self._interceptor = _LoggingClientInterceptor() + self._logged_channel = grpc.intercept_channel( + self._grpc_channel, self._interceptor + ) + + # Wrap messages. This must be done after self._logged_channel exists + self._prep_wrapped_messages(client_info) + + @classmethod + def create_channel( + cls, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs, + ) -> grpc.Channel: + """Create and return a gRPC channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. This argument will be + removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + grpc.Channel: A gRPC channel object. + + Raises: + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + + return grpc_helpers.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs, + ) + + @property + def grpc_channel(self) -> grpc.Channel: + """Return the channel designed to connect to this service.""" + return self._grpc_channel + + @property + def find_neighbors( + self, + ) -> Callable[ + [match_service.FindNeighborsRequest], match_service.FindNeighborsResponse + ]: + r"""Return a callable for the find neighbors method over gRPC. + + Finds the nearest neighbors of each vector within the + request. + + Returns: + Callable[[~.FindNeighborsRequest], + ~.FindNeighborsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "find_neighbors" not in self._stubs: + self._stubs["find_neighbors"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.MatchService/FindNeighbors", + request_serializer=match_service.FindNeighborsRequest.serialize, + response_deserializer=match_service.FindNeighborsResponse.deserialize, + ) + return self._stubs["find_neighbors"] + + @property + def read_index_datapoints( + self, + ) -> Callable[ + [match_service.ReadIndexDatapointsRequest], + match_service.ReadIndexDatapointsResponse, + ]: + r"""Return a callable for the read index datapoints method over gRPC. + + Reads the datapoints/vectors of the given IDs. + A maximum of 1000 datapoints can be retrieved in a + batch. + + Returns: + Callable[[~.ReadIndexDatapointsRequest], + ~.ReadIndexDatapointsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "read_index_datapoints" not in self._stubs: + self._stubs["read_index_datapoints"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.MatchService/ReadIndexDatapoints", + request_serializer=match_service.ReadIndexDatapointsRequest.serialize, + response_deserializer=match_service.ReadIndexDatapointsResponse.deserialize, + ) + return self._stubs["read_index_datapoints"] + + def close(self): + self._logged_channel.close() + + @property + def delete_operation( + self, + ) -> Callable[[operations_pb2.DeleteOperationRequest], None]: + r"""Return a callable for the delete_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_operation" not in self._stubs: + self._stubs["delete_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/DeleteOperation", + request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["delete_operation"] + + @property + def cancel_operation( + self, + ) -> Callable[[operations_pb2.CancelOperationRequest], None]: + r"""Return a callable for the cancel_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "cancel_operation" not in self._stubs: + self._stubs["cancel_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/CancelOperation", + request_serializer=operations_pb2.CancelOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["cancel_operation"] + + @property + def wait_operation( + self, + ) -> Callable[[operations_pb2.WaitOperationRequest], None]: + r"""Return a callable for the wait_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "wait_operation" not in self._stubs: + self._stubs["wait_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/WaitOperation", + request_serializer=operations_pb2.WaitOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["wait_operation"] + + @property + def get_operation( + self, + ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]: + r"""Return a callable for the get_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_operation" not in self._stubs: + self._stubs["get_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/GetOperation", + request_serializer=operations_pb2.GetOperationRequest.SerializeToString, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["get_operation"] + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse + ]: + r"""Return a callable for the list_operations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_operations" not in self._stubs: + self._stubs["list_operations"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/ListOperations", + request_serializer=operations_pb2.ListOperationsRequest.SerializeToString, + response_deserializer=operations_pb2.ListOperationsResponse.FromString, + ) + return self._stubs["list_operations"] + + @property + def list_locations( + self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse + ]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_locations" not in self._stubs: + self._stubs["list_locations"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/ListLocations", + request_serializer=locations_pb2.ListLocationsRequest.SerializeToString, + response_deserializer=locations_pb2.ListLocationsResponse.FromString, + ) + return self._stubs["list_locations"] + + @property + def get_location( + self, + ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_location" not in self._stubs: + self._stubs["get_location"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/GetLocation", + request_serializer=locations_pb2.GetLocationRequest.SerializeToString, + response_deserializer=locations_pb2.Location.FromString, + ) + return self._stubs["get_location"] + + @property + def set_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.SetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the set iam policy method over gRPC. + Sets the IAM access control policy on the specified + function. Replaces any existing policy. + Returns: + Callable[[~.SetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "set_iam_policy" not in self._stubs: + self._stubs["set_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/SetIamPolicy", + request_serializer=iam_policy_pb2.SetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["set_iam_policy"] + + @property + def get_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.GetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the get iam policy method over gRPC. + Gets the IAM access control policy for a function. + Returns an empty policy if the function exists and does + not have a policy set. + Returns: + Callable[[~.GetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_iam_policy" not in self._stubs: + self._stubs["get_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/GetIamPolicy", + request_serializer=iam_policy_pb2.GetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["get_iam_policy"] + + @property + def test_iam_permissions( + self, + ) -> Callable[ + [iam_policy_pb2.TestIamPermissionsRequest], + iam_policy_pb2.TestIamPermissionsResponse, + ]: + r"""Return a callable for the test iam permissions method over gRPC. + Tests the specified permissions against the IAM access control + policy for a function. If the function does not exist, this will + return an empty set of permissions, not a NOT_FOUND error. + Returns: + Callable[[~.TestIamPermissionsRequest], + ~.TestIamPermissionsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "test_iam_permissions" not in self._stubs: + self._stubs["test_iam_permissions"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/TestIamPermissions", + request_serializer=iam_policy_pb2.TestIamPermissionsRequest.SerializeToString, + response_deserializer=iam_policy_pb2.TestIamPermissionsResponse.FromString, + ) + return self._stubs["test_iam_permissions"] + + @property + def kind(self) -> str: + return "grpc" + + +__all__ = ("MatchServiceGrpcTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/transports/grpc_asyncio.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/transports/grpc_asyncio.py new file mode 100644 index 0000000000000000000000000000000000000000..4267207f08d6b0d0e128ca5abaa126c62446309d --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/transports/grpc_asyncio.py @@ -0,0 +1,680 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import inspect +import json +import pickle +import logging as std_logging +import warnings +from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import gapic_v1 +from google.api_core import grpc_helpers_async +from google.api_core import exceptions as core_exceptions +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.protobuf.json_format import MessageToJson +import google.protobuf.message + +import grpc # type: ignore +import proto # type: ignore +from grpc.experimental import aio # type: ignore + +from google.cloud.aiplatform_v1.types import match_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .base import MatchServiceTransport, DEFAULT_CLIENT_INFO +from .grpc import MatchServiceGrpcTransport + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class _LoggingClientAIOInterceptor( + grpc.aio.UnaryUnaryClientInterceptor +): # pragma: NO COVER + async def intercept_unary_unary(self, continuation, client_call_details, request): + logging_enabled = CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ) + if logging_enabled: # pragma: NO COVER + request_metadata = client_call_details.metadata + if isinstance(request, proto.Message): + request_payload = type(request).to_json(request) + elif isinstance(request, google.protobuf.message.Message): + request_payload = MessageToJson(request) + else: + request_payload = f"{type(request).__name__}: {pickle.dumps(request)}" + + request_metadata = { + key: value.decode("utf-8") if isinstance(value, bytes) else value + for key, value in request_metadata + } + grpc_request = { + "payload": request_payload, + "requestMethod": "grpc", + "metadata": dict(request_metadata), + } + _LOGGER.debug( + f"Sending request for {client_call_details.method}", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": str(client_call_details.method), + "request": grpc_request, + "metadata": grpc_request["metadata"], + }, + ) + response = await continuation(client_call_details, request) + if logging_enabled: # pragma: NO COVER + response_metadata = await response.trailing_metadata() + # Convert gRPC metadata `` to list of tuples + metadata = ( + dict([(k, str(v)) for k, v in response_metadata]) + if response_metadata + else None + ) + result = await response + if isinstance(result, proto.Message): + response_payload = type(result).to_json(result) + elif isinstance(result, google.protobuf.message.Message): + response_payload = MessageToJson(result) + else: + response_payload = f"{type(result).__name__}: {pickle.dumps(result)}" + grpc_response = { + "payload": response_payload, + "metadata": metadata, + "status": "OK", + } + _LOGGER.debug( + f"Received response to rpc {client_call_details.method}.", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": str(client_call_details.method), + "response": grpc_response, + "metadata": grpc_response["metadata"], + }, + ) + return response + + +class MatchServiceGrpcAsyncIOTransport(MatchServiceTransport): + """gRPC AsyncIO backend transport for MatchService. + + MatchService is a Google managed service for efficient vector + similarity search at scale. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + + _grpc_channel: aio.Channel + _stubs: Dict[str, Callable] = {} + + @classmethod + def create_channel( + cls, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs, + ) -> aio.Channel: + """Create and return a gRPC AsyncIO channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. This argument will be + removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + aio.Channel: A gRPC AsyncIO channel object. + """ + + return grpc_helpers_async.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs, + ) + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: Optional[Union[aio.Channel, Callable[..., aio.Channel]]] = None, + api_mtls_endpoint: Optional[str] = None, + client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if a ``channel`` instance is provided. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if a ``channel`` instance is provided. + This argument will be removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + channel (Optional[Union[aio.Channel, Callable[..., aio.Channel]]]): + A ``Channel`` instance through which to make calls, or a Callable + that constructs and returns one. If set to None, ``self.create_channel`` + is used to create the channel. If a Callable is given, it will be called + with the same arguments as used in ``self.create_channel``. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if a ``channel`` instance is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if isinstance(channel, aio.Channel): + # Ignore credentials if a channel was passed. + credentials = None + self._ignore_credentials = True + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + # initialize with the provided callable or the default channel + channel_init = channel or type(self).create_channel + self._grpc_channel = channel_init( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + self._interceptor = _LoggingClientAIOInterceptor() + self._grpc_channel._unary_unary_interceptors.append(self._interceptor) + self._logged_channel = self._grpc_channel + self._wrap_with_kind = ( + "kind" in inspect.signature(gapic_v1.method_async.wrap_method).parameters + ) + # Wrap messages. This must be done after self._logged_channel exists + self._prep_wrapped_messages(client_info) + + @property + def grpc_channel(self) -> aio.Channel: + """Create the channel designed to connect to this service. + + This property caches on the instance; repeated calls return + the same channel. + """ + # Return the channel from cache. + return self._grpc_channel + + @property + def find_neighbors( + self, + ) -> Callable[ + [match_service.FindNeighborsRequest], + Awaitable[match_service.FindNeighborsResponse], + ]: + r"""Return a callable for the find neighbors method over gRPC. + + Finds the nearest neighbors of each vector within the + request. + + Returns: + Callable[[~.FindNeighborsRequest], + Awaitable[~.FindNeighborsResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "find_neighbors" not in self._stubs: + self._stubs["find_neighbors"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.MatchService/FindNeighbors", + request_serializer=match_service.FindNeighborsRequest.serialize, + response_deserializer=match_service.FindNeighborsResponse.deserialize, + ) + return self._stubs["find_neighbors"] + + @property + def read_index_datapoints( + self, + ) -> Callable[ + [match_service.ReadIndexDatapointsRequest], + Awaitable[match_service.ReadIndexDatapointsResponse], + ]: + r"""Return a callable for the read index datapoints method over gRPC. + + Reads the datapoints/vectors of the given IDs. + A maximum of 1000 datapoints can be retrieved in a + batch. + + Returns: + Callable[[~.ReadIndexDatapointsRequest], + Awaitable[~.ReadIndexDatapointsResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "read_index_datapoints" not in self._stubs: + self._stubs["read_index_datapoints"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.MatchService/ReadIndexDatapoints", + request_serializer=match_service.ReadIndexDatapointsRequest.serialize, + response_deserializer=match_service.ReadIndexDatapointsResponse.deserialize, + ) + return self._stubs["read_index_datapoints"] + + def _prep_wrapped_messages(self, client_info): + """Precompute the wrapped methods, overriding the base class method to use async wrappers.""" + self._wrapped_methods = { + self.find_neighbors: self._wrap_method( + self.find_neighbors, + default_timeout=None, + client_info=client_info, + ), + self.read_index_datapoints: self._wrap_method( + self.read_index_datapoints, + default_timeout=None, + client_info=client_info, + ), + self.get_location: self._wrap_method( + self.get_location, + default_timeout=None, + client_info=client_info, + ), + self.list_locations: self._wrap_method( + self.list_locations, + default_timeout=None, + client_info=client_info, + ), + self.get_iam_policy: self._wrap_method( + self.get_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.set_iam_policy: self._wrap_method( + self.set_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.test_iam_permissions: self._wrap_method( + self.test_iam_permissions, + default_timeout=None, + client_info=client_info, + ), + self.cancel_operation: self._wrap_method( + self.cancel_operation, + default_timeout=None, + client_info=client_info, + ), + self.delete_operation: self._wrap_method( + self.delete_operation, + default_timeout=None, + client_info=client_info, + ), + self.get_operation: self._wrap_method( + self.get_operation, + default_timeout=None, + client_info=client_info, + ), + self.list_operations: self._wrap_method( + self.list_operations, + default_timeout=None, + client_info=client_info, + ), + self.wait_operation: self._wrap_method( + self.wait_operation, + default_timeout=None, + client_info=client_info, + ), + } + + def _wrap_method(self, func, *args, **kwargs): + if self._wrap_with_kind: # pragma: NO COVER + kwargs["kind"] = self.kind + return gapic_v1.method_async.wrap_method(func, *args, **kwargs) + + def close(self): + return self._logged_channel.close() + + @property + def kind(self) -> str: + return "grpc_asyncio" + + @property + def delete_operation( + self, + ) -> Callable[[operations_pb2.DeleteOperationRequest], None]: + r"""Return a callable for the delete_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_operation" not in self._stubs: + self._stubs["delete_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/DeleteOperation", + request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["delete_operation"] + + @property + def cancel_operation( + self, + ) -> Callable[[operations_pb2.CancelOperationRequest], None]: + r"""Return a callable for the cancel_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "cancel_operation" not in self._stubs: + self._stubs["cancel_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/CancelOperation", + request_serializer=operations_pb2.CancelOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["cancel_operation"] + + @property + def wait_operation( + self, + ) -> Callable[[operations_pb2.WaitOperationRequest], None]: + r"""Return a callable for the wait_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "wait_operation" not in self._stubs: + self._stubs["wait_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/WaitOperation", + request_serializer=operations_pb2.WaitOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["wait_operation"] + + @property + def get_operation( + self, + ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]: + r"""Return a callable for the get_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_operation" not in self._stubs: + self._stubs["get_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/GetOperation", + request_serializer=operations_pb2.GetOperationRequest.SerializeToString, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["get_operation"] + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse + ]: + r"""Return a callable for the list_operations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_operations" not in self._stubs: + self._stubs["list_operations"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/ListOperations", + request_serializer=operations_pb2.ListOperationsRequest.SerializeToString, + response_deserializer=operations_pb2.ListOperationsResponse.FromString, + ) + return self._stubs["list_operations"] + + @property + def list_locations( + self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse + ]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_locations" not in self._stubs: + self._stubs["list_locations"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/ListLocations", + request_serializer=locations_pb2.ListLocationsRequest.SerializeToString, + response_deserializer=locations_pb2.ListLocationsResponse.FromString, + ) + return self._stubs["list_locations"] + + @property + def get_location( + self, + ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_location" not in self._stubs: + self._stubs["get_location"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/GetLocation", + request_serializer=locations_pb2.GetLocationRequest.SerializeToString, + response_deserializer=locations_pb2.Location.FromString, + ) + return self._stubs["get_location"] + + @property + def set_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.SetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the set iam policy method over gRPC. + Sets the IAM access control policy on the specified + function. Replaces any existing policy. + Returns: + Callable[[~.SetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "set_iam_policy" not in self._stubs: + self._stubs["set_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/SetIamPolicy", + request_serializer=iam_policy_pb2.SetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["set_iam_policy"] + + @property + def get_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.GetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the get iam policy method over gRPC. + Gets the IAM access control policy for a function. + Returns an empty policy if the function exists and does + not have a policy set. + Returns: + Callable[[~.GetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_iam_policy" not in self._stubs: + self._stubs["get_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/GetIamPolicy", + request_serializer=iam_policy_pb2.GetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["get_iam_policy"] + + @property + def test_iam_permissions( + self, + ) -> Callable[ + [iam_policy_pb2.TestIamPermissionsRequest], + iam_policy_pb2.TestIamPermissionsResponse, + ]: + r"""Return a callable for the test iam permissions method over gRPC. + Tests the specified permissions against the IAM access control + policy for a function. If the function does not exist, this will + return an empty set of permissions, not a NOT_FOUND error. + Returns: + Callable[[~.TestIamPermissionsRequest], + ~.TestIamPermissionsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "test_iam_permissions" not in self._stubs: + self._stubs["test_iam_permissions"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/TestIamPermissions", + request_serializer=iam_policy_pb2.TestIamPermissionsRequest.SerializeToString, + response_deserializer=iam_policy_pb2.TestIamPermissionsResponse.FromString, + ) + return self._stubs["test_iam_permissions"] + + +__all__ = ("MatchServiceGrpcAsyncIOTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/transports/rest.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/transports/rest.py new file mode 100644 index 0000000000000000000000000000000000000000..c91ef1b767867be91b02175223ea8b60e5e5f712 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/transports/rest.py @@ -0,0 +1,2262 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging +import json # type: ignore + +from google.auth.transport.requests import AuthorizedSession # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.api_core import exceptions as core_exceptions +from google.api_core import retry as retries +from google.api_core import rest_helpers +from google.api_core import rest_streaming +from google.api_core import gapic_v1 +import google.protobuf + +from google.protobuf import json_format +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore + +from requests import __version__ as requests_version +import dataclasses +from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union +import warnings + + +from google.cloud.aiplatform_v1.types import match_service +from google.longrunning import operations_pb2 # type: ignore + + +from .rest_base import _BaseMatchServiceRestTransport +from .base import DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = logging.getLogger(__name__) + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version, + grpc_version=None, + rest_version=f"requests@{requests_version}", +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +class MatchServiceRestInterceptor: + """Interceptor for MatchService. + + Interceptors are used to manipulate requests, request metadata, and responses + in arbitrary ways. + Example use cases include: + * Logging + * Verifying requests according to service or custom semantics + * Stripping extraneous information from responses + + These use cases and more can be enabled by injecting an + instance of a custom subclass when constructing the MatchServiceRestTransport. + + .. code-block:: python + class MyCustomMatchServiceInterceptor(MatchServiceRestInterceptor): + def pre_find_neighbors(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_find_neighbors(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_read_index_datapoints(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_read_index_datapoints(self, response): + logging.log(f"Received response: {response}") + return response + + transport = MatchServiceRestTransport(interceptor=MyCustomMatchServiceInterceptor()) + client = MatchServiceClient(transport=transport) + + + """ + + def pre_find_neighbors( + self, + request: match_service.FindNeighborsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + match_service.FindNeighborsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for find_neighbors + + Override in a subclass to manipulate the request or metadata + before they are sent to the MatchService server. + """ + return request, metadata + + def post_find_neighbors( + self, response: match_service.FindNeighborsResponse + ) -> match_service.FindNeighborsResponse: + """Post-rpc interceptor for find_neighbors + + DEPRECATED. Please use the `post_find_neighbors_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the MatchService server but before + it is returned to user code. This `post_find_neighbors` interceptor runs + before the `post_find_neighbors_with_metadata` interceptor. + """ + return response + + def post_find_neighbors_with_metadata( + self, + response: match_service.FindNeighborsResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + match_service.FindNeighborsResponse, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Post-rpc interceptor for find_neighbors + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the MatchService server but before it is returned to user code. + + We recommend only using this `post_find_neighbors_with_metadata` + interceptor in new development instead of the `post_find_neighbors` interceptor. + When both interceptors are used, this `post_find_neighbors_with_metadata` interceptor runs after the + `post_find_neighbors` interceptor. The (possibly modified) response returned by + `post_find_neighbors` will be passed to + `post_find_neighbors_with_metadata`. + """ + return response, metadata + + def pre_read_index_datapoints( + self, + request: match_service.ReadIndexDatapointsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + match_service.ReadIndexDatapointsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for read_index_datapoints + + Override in a subclass to manipulate the request or metadata + before they are sent to the MatchService server. + """ + return request, metadata + + def post_read_index_datapoints( + self, response: match_service.ReadIndexDatapointsResponse + ) -> match_service.ReadIndexDatapointsResponse: + """Post-rpc interceptor for read_index_datapoints + + DEPRECATED. Please use the `post_read_index_datapoints_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the MatchService server but before + it is returned to user code. This `post_read_index_datapoints` interceptor runs + before the `post_read_index_datapoints_with_metadata` interceptor. + """ + return response + + def post_read_index_datapoints_with_metadata( + self, + response: match_service.ReadIndexDatapointsResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + match_service.ReadIndexDatapointsResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for read_index_datapoints + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the MatchService server but before it is returned to user code. + + We recommend only using this `post_read_index_datapoints_with_metadata` + interceptor in new development instead of the `post_read_index_datapoints` interceptor. + When both interceptors are used, this `post_read_index_datapoints_with_metadata` interceptor runs after the + `post_read_index_datapoints` interceptor. The (possibly modified) response returned by + `post_read_index_datapoints` will be passed to + `post_read_index_datapoints_with_metadata`. + """ + return response, metadata + + def pre_get_location( + self, + request: locations_pb2.GetLocationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.GetLocationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_location + + Override in a subclass to manipulate the request or metadata + before they are sent to the MatchService server. + """ + return request, metadata + + def post_get_location( + self, response: locations_pb2.Location + ) -> locations_pb2.Location: + """Post-rpc interceptor for get_location + + Override in a subclass to manipulate the response + after it is returned by the MatchService server but before + it is returned to user code. + """ + return response + + def pre_list_locations( + self, + request: locations_pb2.ListLocationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.ListLocationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_locations + + Override in a subclass to manipulate the request or metadata + before they are sent to the MatchService server. + """ + return request, metadata + + def post_list_locations( + self, response: locations_pb2.ListLocationsResponse + ) -> locations_pb2.ListLocationsResponse: + """Post-rpc interceptor for list_locations + + Override in a subclass to manipulate the response + after it is returned by the MatchService server but before + it is returned to user code. + """ + return response + + def pre_get_iam_policy( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.GetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the MatchService server. + """ + return request, metadata + + def post_get_iam_policy(self, response: policy_pb2.Policy) -> policy_pb2.Policy: + """Post-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the MatchService server but before + it is returned to user code. + """ + return response + + def pre_set_iam_policy( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.SetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the MatchService server. + """ + return request, metadata + + def post_set_iam_policy(self, response: policy_pb2.Policy) -> policy_pb2.Policy: + """Post-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the MatchService server but before + it is returned to user code. + """ + return response + + def pre_test_iam_permissions( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.TestIamPermissionsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the request or metadata + before they are sent to the MatchService server. + """ + return request, metadata + + def post_test_iam_permissions( + self, response: iam_policy_pb2.TestIamPermissionsResponse + ) -> iam_policy_pb2.TestIamPermissionsResponse: + """Post-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the response + after it is returned by the MatchService server but before + it is returned to user code. + """ + return response + + def pre_cancel_operation( + self, + request: operations_pb2.CancelOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.CancelOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the MatchService server. + """ + return request, metadata + + def post_cancel_operation(self, response: None) -> None: + """Post-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the response + after it is returned by the MatchService server but before + it is returned to user code. + """ + return response + + def pre_delete_operation( + self, + request: operations_pb2.DeleteOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.DeleteOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for delete_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the MatchService server. + """ + return request, metadata + + def post_delete_operation(self, response: None) -> None: + """Post-rpc interceptor for delete_operation + + Override in a subclass to manipulate the response + after it is returned by the MatchService server but before + it is returned to user code. + """ + return response + + def pre_get_operation( + self, + request: operations_pb2.GetOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.GetOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the MatchService server. + """ + return request, metadata + + def post_get_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for get_operation + + Override in a subclass to manipulate the response + after it is returned by the MatchService server but before + it is returned to user code. + """ + return response + + def pre_list_operations( + self, + request: operations_pb2.ListOperationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.ListOperationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_operations + + Override in a subclass to manipulate the request or metadata + before they are sent to the MatchService server. + """ + return request, metadata + + def post_list_operations( + self, response: operations_pb2.ListOperationsResponse + ) -> operations_pb2.ListOperationsResponse: + """Post-rpc interceptor for list_operations + + Override in a subclass to manipulate the response + after it is returned by the MatchService server but before + it is returned to user code. + """ + return response + + def pre_wait_operation( + self, + request: operations_pb2.WaitOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.WaitOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for wait_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the MatchService server. + """ + return request, metadata + + def post_wait_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for wait_operation + + Override in a subclass to manipulate the response + after it is returned by the MatchService server but before + it is returned to user code. + """ + return response + + +@dataclasses.dataclass +class MatchServiceRestStub: + _session: AuthorizedSession + _host: str + _interceptor: MatchServiceRestInterceptor + + +class MatchServiceRestTransport(_BaseMatchServiceRestTransport): + """REST backend synchronous transport for MatchService. + + MatchService is a Google managed service for efficient vector + similarity search at scale. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + """ + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + url_scheme: str = "https", + interceptor: Optional[MatchServiceRestInterceptor] = None, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. This argument will be + removed in the next major version of this library. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if ``channel`` is provided. + client_cert_source_for_mtls (Callable[[], Tuple[bytes, bytes]]): Client + certificate to configure mutual TLS HTTP channel. It is ignored + if ``channel`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + url_scheme: the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + # TODO(yon-mg): resolve other ctor params i.e. scopes, quota, etc. + # TODO: When custom host (api_endpoint) is set, `scopes` must *also* be set on the + # credentials object + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + url_scheme=url_scheme, + api_audience=api_audience, + ) + self._session = AuthorizedSession( + self._credentials, default_host=self.DEFAULT_HOST + ) + if client_cert_source_for_mtls: + self._session.configure_mtls_channel(client_cert_source_for_mtls) + self._interceptor = interceptor or MatchServiceRestInterceptor() + self._prep_wrapped_messages(client_info) + + class _FindNeighbors( + _BaseMatchServiceRestTransport._BaseFindNeighbors, MatchServiceRestStub + ): + def __hash__(self): + return hash("MatchServiceRestTransport.FindNeighbors") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: match_service.FindNeighborsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> match_service.FindNeighborsResponse: + r"""Call the find neighbors method over HTTP. + + Args: + request (~.match_service.FindNeighborsRequest): + The request object. The request message for + [MatchService.FindNeighbors][google.cloud.aiplatform.v1.MatchService.FindNeighbors]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.match_service.FindNeighborsResponse: + The response message for + [MatchService.FindNeighbors][google.cloud.aiplatform.v1.MatchService.FindNeighbors]. + + """ + + http_options = ( + _BaseMatchServiceRestTransport._BaseFindNeighbors._get_http_options() + ) + + request, metadata = self._interceptor.pre_find_neighbors(request, metadata) + transcoded_request = _BaseMatchServiceRestTransport._BaseFindNeighbors._get_transcoded_request( + http_options, request + ) + + body = _BaseMatchServiceRestTransport._BaseFindNeighbors._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseMatchServiceRestTransport._BaseFindNeighbors._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.MatchServiceClient.FindNeighbors", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "FindNeighbors", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = MatchServiceRestTransport._FindNeighbors._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = match_service.FindNeighborsResponse() + pb_resp = match_service.FindNeighborsResponse.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_find_neighbors(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_find_neighbors_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = match_service.FindNeighborsResponse.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.MatchServiceClient.find_neighbors", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "FindNeighbors", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _ReadIndexDatapoints( + _BaseMatchServiceRestTransport._BaseReadIndexDatapoints, MatchServiceRestStub + ): + def __hash__(self): + return hash("MatchServiceRestTransport.ReadIndexDatapoints") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: match_service.ReadIndexDatapointsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> match_service.ReadIndexDatapointsResponse: + r"""Call the read index datapoints method over HTTP. + + Args: + request (~.match_service.ReadIndexDatapointsRequest): + The request object. The request message for + [MatchService.ReadIndexDatapoints][google.cloud.aiplatform.v1.MatchService.ReadIndexDatapoints]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.match_service.ReadIndexDatapointsResponse: + The response message for + [MatchService.ReadIndexDatapoints][google.cloud.aiplatform.v1.MatchService.ReadIndexDatapoints]. + + """ + + http_options = ( + _BaseMatchServiceRestTransport._BaseReadIndexDatapoints._get_http_options() + ) + + request, metadata = self._interceptor.pre_read_index_datapoints( + request, metadata + ) + transcoded_request = _BaseMatchServiceRestTransport._BaseReadIndexDatapoints._get_transcoded_request( + http_options, request + ) + + body = _BaseMatchServiceRestTransport._BaseReadIndexDatapoints._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseMatchServiceRestTransport._BaseReadIndexDatapoints._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.MatchServiceClient.ReadIndexDatapoints", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "ReadIndexDatapoints", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = MatchServiceRestTransport._ReadIndexDatapoints._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = match_service.ReadIndexDatapointsResponse() + pb_resp = match_service.ReadIndexDatapointsResponse.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_read_index_datapoints(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_read_index_datapoints_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = ( + match_service.ReadIndexDatapointsResponse.to_json(response) + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.MatchServiceClient.read_index_datapoints", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "ReadIndexDatapoints", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + @property + def find_neighbors( + self, + ) -> Callable[ + [match_service.FindNeighborsRequest], match_service.FindNeighborsResponse + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._FindNeighbors(self._session, self._host, self._interceptor) # type: ignore + + @property + def read_index_datapoints( + self, + ) -> Callable[ + [match_service.ReadIndexDatapointsRequest], + match_service.ReadIndexDatapointsResponse, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._ReadIndexDatapoints(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_location(self): + return self._GetLocation(self._session, self._host, self._interceptor) # type: ignore + + class _GetLocation( + _BaseMatchServiceRestTransport._BaseGetLocation, MatchServiceRestStub + ): + def __hash__(self): + return hash("MatchServiceRestTransport.GetLocation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: locations_pb2.GetLocationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Call the get location method over HTTP. + + Args: + request (locations_pb2.GetLocationRequest): + The request object for GetLocation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.Location: Response from GetLocation method. + """ + + http_options = ( + _BaseMatchServiceRestTransport._BaseGetLocation._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_location(request, metadata) + transcoded_request = ( + _BaseMatchServiceRestTransport._BaseGetLocation._get_transcoded_request( + http_options, request + ) + ) + + # Jsonify the query params + query_params = ( + _BaseMatchServiceRestTransport._BaseGetLocation._get_query_params_json( + transcoded_request + ) + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.MatchServiceClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "GetLocation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = MatchServiceRestTransport._GetLocation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = locations_pb2.Location() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_get_location(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.MatchServiceAsyncClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "GetLocation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_locations(self): + return self._ListLocations(self._session, self._host, self._interceptor) # type: ignore + + class _ListLocations( + _BaseMatchServiceRestTransport._BaseListLocations, MatchServiceRestStub + ): + def __hash__(self): + return hash("MatchServiceRestTransport.ListLocations") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: locations_pb2.ListLocationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Call the list locations method over HTTP. + + Args: + request (locations_pb2.ListLocationsRequest): + The request object for ListLocations method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.ListLocationsResponse: Response from ListLocations method. + """ + + http_options = ( + _BaseMatchServiceRestTransport._BaseListLocations._get_http_options() + ) + + request, metadata = self._interceptor.pre_list_locations(request, metadata) + transcoded_request = _BaseMatchServiceRestTransport._BaseListLocations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseMatchServiceRestTransport._BaseListLocations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.MatchServiceClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "ListLocations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = MatchServiceRestTransport._ListLocations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = locations_pb2.ListLocationsResponse() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_list_locations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.MatchServiceAsyncClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "ListLocations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def get_iam_policy(self): + return self._GetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _GetIamPolicy( + _BaseMatchServiceRestTransport._BaseGetIamPolicy, MatchServiceRestStub + ): + def __hash__(self): + return hash("MatchServiceRestTransport.GetIamPolicy") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the get iam policy method over HTTP. + + Args: + request (iam_policy_pb2.GetIamPolicyRequest): + The request object for GetIamPolicy method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from GetIamPolicy method. + """ + + http_options = ( + _BaseMatchServiceRestTransport._BaseGetIamPolicy._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_iam_policy(request, metadata) + transcoded_request = _BaseMatchServiceRestTransport._BaseGetIamPolicy._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = ( + _BaseMatchServiceRestTransport._BaseGetIamPolicy._get_query_params_json( + transcoded_request + ) + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.MatchServiceClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "GetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = MatchServiceRestTransport._GetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_get_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.MatchServiceAsyncClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "GetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def set_iam_policy(self): + return self._SetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _SetIamPolicy( + _BaseMatchServiceRestTransport._BaseSetIamPolicy, MatchServiceRestStub + ): + def __hash__(self): + return hash("MatchServiceRestTransport.SetIamPolicy") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the set iam policy method over HTTP. + + Args: + request (iam_policy_pb2.SetIamPolicyRequest): + The request object for SetIamPolicy method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from SetIamPolicy method. + """ + + http_options = ( + _BaseMatchServiceRestTransport._BaseSetIamPolicy._get_http_options() + ) + + request, metadata = self._interceptor.pre_set_iam_policy(request, metadata) + transcoded_request = _BaseMatchServiceRestTransport._BaseSetIamPolicy._get_transcoded_request( + http_options, request + ) + + body = ( + _BaseMatchServiceRestTransport._BaseSetIamPolicy._get_request_body_json( + transcoded_request + ) + ) + + # Jsonify the query params + query_params = ( + _BaseMatchServiceRestTransport._BaseSetIamPolicy._get_query_params_json( + transcoded_request + ) + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.MatchServiceClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "SetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = MatchServiceRestTransport._SetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_set_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.MatchServiceAsyncClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "SetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def test_iam_permissions(self): + return self._TestIamPermissions(self._session, self._host, self._interceptor) # type: ignore + + class _TestIamPermissions( + _BaseMatchServiceRestTransport._BaseTestIamPermissions, MatchServiceRestStub + ): + def __hash__(self): + return hash("MatchServiceRestTransport.TestIamPermissions") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Call the test iam permissions method over HTTP. + + Args: + request (iam_policy_pb2.TestIamPermissionsRequest): + The request object for TestIamPermissions method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + iam_policy_pb2.TestIamPermissionsResponse: Response from TestIamPermissions method. + """ + + http_options = ( + _BaseMatchServiceRestTransport._BaseTestIamPermissions._get_http_options() + ) + + request, metadata = self._interceptor.pre_test_iam_permissions( + request, metadata + ) + transcoded_request = _BaseMatchServiceRestTransport._BaseTestIamPermissions._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseMatchServiceRestTransport._BaseTestIamPermissions._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.MatchServiceClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "TestIamPermissions", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = MatchServiceRestTransport._TestIamPermissions._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = iam_policy_pb2.TestIamPermissionsResponse() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_test_iam_permissions(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.MatchServiceAsyncClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "TestIamPermissions", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def cancel_operation(self): + return self._CancelOperation(self._session, self._host, self._interceptor) # type: ignore + + class _CancelOperation( + _BaseMatchServiceRestTransport._BaseCancelOperation, MatchServiceRestStub + ): + def __hash__(self): + return hash("MatchServiceRestTransport.CancelOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.CancelOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the cancel operation method over HTTP. + + Args: + request (operations_pb2.CancelOperationRequest): + The request object for CancelOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseMatchServiceRestTransport._BaseCancelOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_cancel_operation( + request, metadata + ) + transcoded_request = _BaseMatchServiceRestTransport._BaseCancelOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseMatchServiceRestTransport._BaseCancelOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.MatchServiceClient.CancelOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "CancelOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = MatchServiceRestTransport._CancelOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + return self._interceptor.post_cancel_operation(None) + + @property + def delete_operation(self): + return self._DeleteOperation(self._session, self._host, self._interceptor) # type: ignore + + class _DeleteOperation( + _BaseMatchServiceRestTransport._BaseDeleteOperation, MatchServiceRestStub + ): + def __hash__(self): + return hash("MatchServiceRestTransport.DeleteOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.DeleteOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the delete operation method over HTTP. + + Args: + request (operations_pb2.DeleteOperationRequest): + The request object for DeleteOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseMatchServiceRestTransport._BaseDeleteOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_delete_operation( + request, metadata + ) + transcoded_request = _BaseMatchServiceRestTransport._BaseDeleteOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseMatchServiceRestTransport._BaseDeleteOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.MatchServiceClient.DeleteOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "DeleteOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = MatchServiceRestTransport._DeleteOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + return self._interceptor.post_delete_operation(None) + + @property + def get_operation(self): + return self._GetOperation(self._session, self._host, self._interceptor) # type: ignore + + class _GetOperation( + _BaseMatchServiceRestTransport._BaseGetOperation, MatchServiceRestStub + ): + def __hash__(self): + return hash("MatchServiceRestTransport.GetOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.GetOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the get operation method over HTTP. + + Args: + request (operations_pb2.GetOperationRequest): + The request object for GetOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from GetOperation method. + """ + + http_options = ( + _BaseMatchServiceRestTransport._BaseGetOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_operation(request, metadata) + transcoded_request = _BaseMatchServiceRestTransport._BaseGetOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = ( + _BaseMatchServiceRestTransport._BaseGetOperation._get_query_params_json( + transcoded_request + ) + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.MatchServiceClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "GetOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = MatchServiceRestTransport._GetOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_get_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.MatchServiceAsyncClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "GetOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_operations(self): + return self._ListOperations(self._session, self._host, self._interceptor) # type: ignore + + class _ListOperations( + _BaseMatchServiceRestTransport._BaseListOperations, MatchServiceRestStub + ): + def __hash__(self): + return hash("MatchServiceRestTransport.ListOperations") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.ListOperationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Call the list operations method over HTTP. + + Args: + request (operations_pb2.ListOperationsRequest): + The request object for ListOperations method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.ListOperationsResponse: Response from ListOperations method. + """ + + http_options = ( + _BaseMatchServiceRestTransport._BaseListOperations._get_http_options() + ) + + request, metadata = self._interceptor.pre_list_operations(request, metadata) + transcoded_request = _BaseMatchServiceRestTransport._BaseListOperations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseMatchServiceRestTransport._BaseListOperations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.MatchServiceClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "ListOperations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = MatchServiceRestTransport._ListOperations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = operations_pb2.ListOperationsResponse() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_list_operations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.MatchServiceAsyncClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "ListOperations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def wait_operation(self): + return self._WaitOperation(self._session, self._host, self._interceptor) # type: ignore + + class _WaitOperation( + _BaseMatchServiceRestTransport._BaseWaitOperation, MatchServiceRestStub + ): + def __hash__(self): + return hash("MatchServiceRestTransport.WaitOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.WaitOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the wait operation method over HTTP. + + Args: + request (operations_pb2.WaitOperationRequest): + The request object for WaitOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from WaitOperation method. + """ + + http_options = ( + _BaseMatchServiceRestTransport._BaseWaitOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_wait_operation(request, metadata) + transcoded_request = _BaseMatchServiceRestTransport._BaseWaitOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseMatchServiceRestTransport._BaseWaitOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.MatchServiceClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "WaitOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = MatchServiceRestTransport._WaitOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_wait_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.MatchServiceAsyncClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "WaitOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def kind(self) -> str: + return "rest" + + def close(self): + self._session.close() + + +__all__ = ("MatchServiceRestTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/transports/rest_asyncio.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/transports/rest_asyncio.py new file mode 100644 index 0000000000000000000000000000000000000000..f1612a6a0adc6fbd7661227a89bbeb5e57b5e12c --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/transports/rest_asyncio.py @@ -0,0 +1,2425 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +import google.auth + +try: + import aiohttp # type: ignore + from google.auth.aio.transport.sessions import AsyncAuthorizedSession # type: ignore + from google.api_core import rest_streaming_async # type: ignore + from google.api_core.operations_v1 import AsyncOperationsRestClient # type: ignore +except ImportError as e: # pragma: NO COVER + raise ImportError( + "`rest_asyncio` transport requires the library to be installed with the `async_rest` extra. Install the library with the `async_rest` extra using `pip install google-cloud-aiplatform[async_rest]`" + ) from e + +from google.auth.aio import credentials as ga_credentials_async # type: ignore + +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore +from google.api_core import retry_async as retries +from google.api_core import rest_helpers +from google.api_core import rest_streaming_async # type: ignore +import google.protobuf + +from google.protobuf import json_format +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore + +import json # type: ignore +import dataclasses +from typing import Any, Dict, List, Callable, Tuple, Optional, Sequence, Union + + +from google.cloud.aiplatform_v1.types import match_service +from google.longrunning import operations_pb2 # type: ignore + + +from .rest_base import _BaseMatchServiceRestTransport + +from .base import DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO + + +import logging + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = logging.getLogger(__name__) + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version, + grpc_version=None, + rest_version=f"google-auth@{google.auth.__version__}", +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +class AsyncMatchServiceRestInterceptor: + """Asynchronous Interceptor for MatchService. + + Interceptors are used to manipulate requests, request metadata, and responses + in arbitrary ways. + Example use cases include: + * Logging + * Verifying requests according to service or custom semantics + * Stripping extraneous information from responses + + These use cases and more can be enabled by injecting an + instance of a custom subclass when constructing the AsyncMatchServiceRestTransport. + + .. code-block:: python + class MyCustomMatchServiceInterceptor(MatchServiceRestInterceptor): + async def pre_find_neighbors(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_find_neighbors(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_read_index_datapoints(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_read_index_datapoints(self, response): + logging.log(f"Received response: {response}") + return response + + transport = AsyncMatchServiceRestTransport(interceptor=MyCustomMatchServiceInterceptor()) + client = async MatchServiceClient(transport=transport) + + + """ + + async def pre_find_neighbors( + self, + request: match_service.FindNeighborsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + match_service.FindNeighborsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for find_neighbors + + Override in a subclass to manipulate the request or metadata + before they are sent to the MatchService server. + """ + return request, metadata + + async def post_find_neighbors( + self, response: match_service.FindNeighborsResponse + ) -> match_service.FindNeighborsResponse: + """Post-rpc interceptor for find_neighbors + + DEPRECATED. Please use the `post_find_neighbors_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the MatchService server but before + it is returned to user code. This `post_find_neighbors` interceptor runs + before the `post_find_neighbors_with_metadata` interceptor. + """ + return response + + async def post_find_neighbors_with_metadata( + self, + response: match_service.FindNeighborsResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + match_service.FindNeighborsResponse, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Post-rpc interceptor for find_neighbors + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the MatchService server but before it is returned to user code. + + We recommend only using this `post_find_neighbors_with_metadata` + interceptor in new development instead of the `post_find_neighbors` interceptor. + When both interceptors are used, this `post_find_neighbors_with_metadata` interceptor runs after the + `post_find_neighbors` interceptor. The (possibly modified) response returned by + `post_find_neighbors` will be passed to + `post_find_neighbors_with_metadata`. + """ + return response, metadata + + async def pre_read_index_datapoints( + self, + request: match_service.ReadIndexDatapointsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + match_service.ReadIndexDatapointsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for read_index_datapoints + + Override in a subclass to manipulate the request or metadata + before they are sent to the MatchService server. + """ + return request, metadata + + async def post_read_index_datapoints( + self, response: match_service.ReadIndexDatapointsResponse + ) -> match_service.ReadIndexDatapointsResponse: + """Post-rpc interceptor for read_index_datapoints + + DEPRECATED. Please use the `post_read_index_datapoints_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the MatchService server but before + it is returned to user code. This `post_read_index_datapoints` interceptor runs + before the `post_read_index_datapoints_with_metadata` interceptor. + """ + return response + + async def post_read_index_datapoints_with_metadata( + self, + response: match_service.ReadIndexDatapointsResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + match_service.ReadIndexDatapointsResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for read_index_datapoints + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the MatchService server but before it is returned to user code. + + We recommend only using this `post_read_index_datapoints_with_metadata` + interceptor in new development instead of the `post_read_index_datapoints` interceptor. + When both interceptors are used, this `post_read_index_datapoints_with_metadata` interceptor runs after the + `post_read_index_datapoints` interceptor. The (possibly modified) response returned by + `post_read_index_datapoints` will be passed to + `post_read_index_datapoints_with_metadata`. + """ + return response, metadata + + async def pre_get_location( + self, + request: locations_pb2.GetLocationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.GetLocationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_location + + Override in a subclass to manipulate the request or metadata + before they are sent to the MatchService server. + """ + return request, metadata + + async def post_get_location( + self, response: locations_pb2.Location + ) -> locations_pb2.Location: + """Post-rpc interceptor for get_location + + Override in a subclass to manipulate the response + after it is returned by the MatchService server but before + it is returned to user code. + """ + return response + + async def pre_list_locations( + self, + request: locations_pb2.ListLocationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.ListLocationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_locations + + Override in a subclass to manipulate the request or metadata + before they are sent to the MatchService server. + """ + return request, metadata + + async def post_list_locations( + self, response: locations_pb2.ListLocationsResponse + ) -> locations_pb2.ListLocationsResponse: + """Post-rpc interceptor for list_locations + + Override in a subclass to manipulate the response + after it is returned by the MatchService server but before + it is returned to user code. + """ + return response + + async def pre_get_iam_policy( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.GetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the MatchService server. + """ + return request, metadata + + async def post_get_iam_policy( + self, response: policy_pb2.Policy + ) -> policy_pb2.Policy: + """Post-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the MatchService server but before + it is returned to user code. + """ + return response + + async def pre_set_iam_policy( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.SetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the MatchService server. + """ + return request, metadata + + async def post_set_iam_policy( + self, response: policy_pb2.Policy + ) -> policy_pb2.Policy: + """Post-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the MatchService server but before + it is returned to user code. + """ + return response + + async def pre_test_iam_permissions( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.TestIamPermissionsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the request or metadata + before they are sent to the MatchService server. + """ + return request, metadata + + async def post_test_iam_permissions( + self, response: iam_policy_pb2.TestIamPermissionsResponse + ) -> iam_policy_pb2.TestIamPermissionsResponse: + """Post-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the response + after it is returned by the MatchService server but before + it is returned to user code. + """ + return response + + async def pre_cancel_operation( + self, + request: operations_pb2.CancelOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.CancelOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the MatchService server. + """ + return request, metadata + + async def post_cancel_operation(self, response: None) -> None: + """Post-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the response + after it is returned by the MatchService server but before + it is returned to user code. + """ + return response + + async def pre_delete_operation( + self, + request: operations_pb2.DeleteOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.DeleteOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for delete_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the MatchService server. + """ + return request, metadata + + async def post_delete_operation(self, response: None) -> None: + """Post-rpc interceptor for delete_operation + + Override in a subclass to manipulate the response + after it is returned by the MatchService server but before + it is returned to user code. + """ + return response + + async def pre_get_operation( + self, + request: operations_pb2.GetOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.GetOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the MatchService server. + """ + return request, metadata + + async def post_get_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for get_operation + + Override in a subclass to manipulate the response + after it is returned by the MatchService server but before + it is returned to user code. + """ + return response + + async def pre_list_operations( + self, + request: operations_pb2.ListOperationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.ListOperationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_operations + + Override in a subclass to manipulate the request or metadata + before they are sent to the MatchService server. + """ + return request, metadata + + async def post_list_operations( + self, response: operations_pb2.ListOperationsResponse + ) -> operations_pb2.ListOperationsResponse: + """Post-rpc interceptor for list_operations + + Override in a subclass to manipulate the response + after it is returned by the MatchService server but before + it is returned to user code. + """ + return response + + async def pre_wait_operation( + self, + request: operations_pb2.WaitOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.WaitOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for wait_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the MatchService server. + """ + return request, metadata + + async def post_wait_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for wait_operation + + Override in a subclass to manipulate the response + after it is returned by the MatchService server but before + it is returned to user code. + """ + return response + + +@dataclasses.dataclass +class AsyncMatchServiceRestStub: + _session: AsyncAuthorizedSession + _host: str + _interceptor: AsyncMatchServiceRestInterceptor + + +class AsyncMatchServiceRestTransport(_BaseMatchServiceRestTransport): + """Asynchronous REST backend transport for MatchService. + + MatchService is a Google managed service for efficient vector + similarity search at scale. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + """ + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials_async.Credentials] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + url_scheme: str = "https", + interceptor: Optional[AsyncMatchServiceRestInterceptor] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.aio.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + url_scheme (str): the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=False, + url_scheme=url_scheme, + api_audience=None, + ) + self._session = AsyncAuthorizedSession(self._credentials) # type: ignore + self._interceptor = interceptor or AsyncMatchServiceRestInterceptor() + self._wrap_with_kind = True + self._prep_wrapped_messages(client_info) + + def _prep_wrapped_messages(self, client_info): + """Precompute the wrapped methods, overriding the base class method to use async wrappers.""" + self._wrapped_methods = { + self.find_neighbors: self._wrap_method( + self.find_neighbors, + default_timeout=None, + client_info=client_info, + ), + self.read_index_datapoints: self._wrap_method( + self.read_index_datapoints, + default_timeout=None, + client_info=client_info, + ), + self.get_location: self._wrap_method( + self.get_location, + default_timeout=None, + client_info=client_info, + ), + self.list_locations: self._wrap_method( + self.list_locations, + default_timeout=None, + client_info=client_info, + ), + self.get_iam_policy: self._wrap_method( + self.get_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.set_iam_policy: self._wrap_method( + self.set_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.test_iam_permissions: self._wrap_method( + self.test_iam_permissions, + default_timeout=None, + client_info=client_info, + ), + self.cancel_operation: self._wrap_method( + self.cancel_operation, + default_timeout=None, + client_info=client_info, + ), + self.delete_operation: self._wrap_method( + self.delete_operation, + default_timeout=None, + client_info=client_info, + ), + self.get_operation: self._wrap_method( + self.get_operation, + default_timeout=None, + client_info=client_info, + ), + self.list_operations: self._wrap_method( + self.list_operations, + default_timeout=None, + client_info=client_info, + ), + self.wait_operation: self._wrap_method( + self.wait_operation, + default_timeout=None, + client_info=client_info, + ), + } + + def _wrap_method(self, func, *args, **kwargs): + if self._wrap_with_kind: # pragma: NO COVER + kwargs["kind"] = self.kind + return gapic_v1.method_async.wrap_method(func, *args, **kwargs) + + class _FindNeighbors( + _BaseMatchServiceRestTransport._BaseFindNeighbors, AsyncMatchServiceRestStub + ): + def __hash__(self): + return hash("AsyncMatchServiceRestTransport.FindNeighbors") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: match_service.FindNeighborsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> match_service.FindNeighborsResponse: + r"""Call the find neighbors method over HTTP. + + Args: + request (~.match_service.FindNeighborsRequest): + The request object. The request message for + [MatchService.FindNeighbors][google.cloud.aiplatform.v1.MatchService.FindNeighbors]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.match_service.FindNeighborsResponse: + The response message for + [MatchService.FindNeighbors][google.cloud.aiplatform.v1.MatchService.FindNeighbors]. + + """ + + http_options = ( + _BaseMatchServiceRestTransport._BaseFindNeighbors._get_http_options() + ) + + request, metadata = await self._interceptor.pre_find_neighbors( + request, metadata + ) + transcoded_request = _BaseMatchServiceRestTransport._BaseFindNeighbors._get_transcoded_request( + http_options, request + ) + + body = _BaseMatchServiceRestTransport._BaseFindNeighbors._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseMatchServiceRestTransport._BaseFindNeighbors._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.MatchServiceClient.FindNeighbors", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "FindNeighbors", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncMatchServiceRestTransport._FindNeighbors._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = match_service.FindNeighborsResponse() + pb_resp = match_service.FindNeighborsResponse.pb(resp) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_find_neighbors(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_find_neighbors_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = match_service.FindNeighborsResponse.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.MatchServiceAsyncClient.find_neighbors", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "FindNeighbors", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _ReadIndexDatapoints( + _BaseMatchServiceRestTransport._BaseReadIndexDatapoints, + AsyncMatchServiceRestStub, + ): + def __hash__(self): + return hash("AsyncMatchServiceRestTransport.ReadIndexDatapoints") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: match_service.ReadIndexDatapointsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> match_service.ReadIndexDatapointsResponse: + r"""Call the read index datapoints method over HTTP. + + Args: + request (~.match_service.ReadIndexDatapointsRequest): + The request object. The request message for + [MatchService.ReadIndexDatapoints][google.cloud.aiplatform.v1.MatchService.ReadIndexDatapoints]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.match_service.ReadIndexDatapointsResponse: + The response message for + [MatchService.ReadIndexDatapoints][google.cloud.aiplatform.v1.MatchService.ReadIndexDatapoints]. + + """ + + http_options = ( + _BaseMatchServiceRestTransport._BaseReadIndexDatapoints._get_http_options() + ) + + request, metadata = await self._interceptor.pre_read_index_datapoints( + request, metadata + ) + transcoded_request = _BaseMatchServiceRestTransport._BaseReadIndexDatapoints._get_transcoded_request( + http_options, request + ) + + body = _BaseMatchServiceRestTransport._BaseReadIndexDatapoints._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BaseMatchServiceRestTransport._BaseReadIndexDatapoints._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.MatchServiceClient.ReadIndexDatapoints", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "ReadIndexDatapoints", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncMatchServiceRestTransport._ReadIndexDatapoints._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = match_service.ReadIndexDatapointsResponse() + pb_resp = match_service.ReadIndexDatapointsResponse.pb(resp) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_read_index_datapoints(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = await self._interceptor.post_read_index_datapoints_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = ( + match_service.ReadIndexDatapointsResponse.to_json(response) + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.MatchServiceAsyncClient.read_index_datapoints", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "ReadIndexDatapoints", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + @property + def find_neighbors( + self, + ) -> Callable[ + [match_service.FindNeighborsRequest], match_service.FindNeighborsResponse + ]: + return self._FindNeighbors(self._session, self._host, self._interceptor) # type: ignore + + @property + def read_index_datapoints( + self, + ) -> Callable[ + [match_service.ReadIndexDatapointsRequest], + match_service.ReadIndexDatapointsResponse, + ]: + return self._ReadIndexDatapoints(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_location(self): + return self._GetLocation(self._session, self._host, self._interceptor) # type: ignore + + class _GetLocation( + _BaseMatchServiceRestTransport._BaseGetLocation, AsyncMatchServiceRestStub + ): + def __hash__(self): + return hash("AsyncMatchServiceRestTransport.GetLocation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: locations_pb2.GetLocationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Call the get location method over HTTP. + + Args: + request (locations_pb2.GetLocationRequest): + The request object for GetLocation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.Location: Response from GetLocation method. + """ + + http_options = ( + _BaseMatchServiceRestTransport._BaseGetLocation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_location( + request, metadata + ) + transcoded_request = ( + _BaseMatchServiceRestTransport._BaseGetLocation._get_transcoded_request( + http_options, request + ) + ) + + # Jsonify the query params + query_params = ( + _BaseMatchServiceRestTransport._BaseGetLocation._get_query_params_json( + transcoded_request + ) + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.MatchServiceClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "GetLocation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncMatchServiceRestTransport._GetLocation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = locations_pb2.Location() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_get_location(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.MatchServiceAsyncClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "GetLocation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_locations(self): + return self._ListLocations(self._session, self._host, self._interceptor) # type: ignore + + class _ListLocations( + _BaseMatchServiceRestTransport._BaseListLocations, AsyncMatchServiceRestStub + ): + def __hash__(self): + return hash("AsyncMatchServiceRestTransport.ListLocations") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: locations_pb2.ListLocationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Call the list locations method over HTTP. + + Args: + request (locations_pb2.ListLocationsRequest): + The request object for ListLocations method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.ListLocationsResponse: Response from ListLocations method. + """ + + http_options = ( + _BaseMatchServiceRestTransport._BaseListLocations._get_http_options() + ) + + request, metadata = await self._interceptor.pre_list_locations( + request, metadata + ) + transcoded_request = _BaseMatchServiceRestTransport._BaseListLocations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseMatchServiceRestTransport._BaseListLocations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.MatchServiceClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "ListLocations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncMatchServiceRestTransport._ListLocations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = locations_pb2.ListLocationsResponse() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_list_locations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.MatchServiceAsyncClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "ListLocations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def get_iam_policy(self): + return self._GetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _GetIamPolicy( + _BaseMatchServiceRestTransport._BaseGetIamPolicy, AsyncMatchServiceRestStub + ): + def __hash__(self): + return hash("AsyncMatchServiceRestTransport.GetIamPolicy") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the get iam policy method over HTTP. + + Args: + request (iam_policy_pb2.GetIamPolicyRequest): + The request object for GetIamPolicy method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from GetIamPolicy method. + """ + + http_options = ( + _BaseMatchServiceRestTransport._BaseGetIamPolicy._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_iam_policy( + request, metadata + ) + transcoded_request = _BaseMatchServiceRestTransport._BaseGetIamPolicy._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = ( + _BaseMatchServiceRestTransport._BaseGetIamPolicy._get_query_params_json( + transcoded_request + ) + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.MatchServiceClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "GetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncMatchServiceRestTransport._GetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_get_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.MatchServiceAsyncClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "GetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def set_iam_policy(self): + return self._SetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _SetIamPolicy( + _BaseMatchServiceRestTransport._BaseSetIamPolicy, AsyncMatchServiceRestStub + ): + def __hash__(self): + return hash("AsyncMatchServiceRestTransport.SetIamPolicy") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the set iam policy method over HTTP. + + Args: + request (iam_policy_pb2.SetIamPolicyRequest): + The request object for SetIamPolicy method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from SetIamPolicy method. + """ + + http_options = ( + _BaseMatchServiceRestTransport._BaseSetIamPolicy._get_http_options() + ) + + request, metadata = await self._interceptor.pre_set_iam_policy( + request, metadata + ) + transcoded_request = _BaseMatchServiceRestTransport._BaseSetIamPolicy._get_transcoded_request( + http_options, request + ) + + body = ( + _BaseMatchServiceRestTransport._BaseSetIamPolicy._get_request_body_json( + transcoded_request + ) + ) + + # Jsonify the query params + query_params = ( + _BaseMatchServiceRestTransport._BaseSetIamPolicy._get_query_params_json( + transcoded_request + ) + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.MatchServiceClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "SetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncMatchServiceRestTransport._SetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_set_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.MatchServiceAsyncClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "SetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def test_iam_permissions(self): + return self._TestIamPermissions(self._session, self._host, self._interceptor) # type: ignore + + class _TestIamPermissions( + _BaseMatchServiceRestTransport._BaseTestIamPermissions, + AsyncMatchServiceRestStub, + ): + def __hash__(self): + return hash("AsyncMatchServiceRestTransport.TestIamPermissions") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Call the test iam permissions method over HTTP. + + Args: + request (iam_policy_pb2.TestIamPermissionsRequest): + The request object for TestIamPermissions method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + iam_policy_pb2.TestIamPermissionsResponse: Response from TestIamPermissions method. + """ + + http_options = ( + _BaseMatchServiceRestTransport._BaseTestIamPermissions._get_http_options() + ) + + request, metadata = await self._interceptor.pre_test_iam_permissions( + request, metadata + ) + transcoded_request = _BaseMatchServiceRestTransport._BaseTestIamPermissions._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseMatchServiceRestTransport._BaseTestIamPermissions._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.MatchServiceClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "TestIamPermissions", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncMatchServiceRestTransport._TestIamPermissions._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = iam_policy_pb2.TestIamPermissionsResponse() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_test_iam_permissions(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.MatchServiceAsyncClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "TestIamPermissions", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def cancel_operation(self): + return self._CancelOperation(self._session, self._host, self._interceptor) # type: ignore + + class _CancelOperation( + _BaseMatchServiceRestTransport._BaseCancelOperation, AsyncMatchServiceRestStub + ): + def __hash__(self): + return hash("AsyncMatchServiceRestTransport.CancelOperation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.CancelOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the cancel operation method over HTTP. + + Args: + request (operations_pb2.CancelOperationRequest): + The request object for CancelOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseMatchServiceRestTransport._BaseCancelOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_cancel_operation( + request, metadata + ) + transcoded_request = _BaseMatchServiceRestTransport._BaseCancelOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseMatchServiceRestTransport._BaseCancelOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.MatchServiceClient.CancelOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "CancelOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncMatchServiceRestTransport._CancelOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + return await self._interceptor.post_cancel_operation(None) + + @property + def delete_operation(self): + return self._DeleteOperation(self._session, self._host, self._interceptor) # type: ignore + + class _DeleteOperation( + _BaseMatchServiceRestTransport._BaseDeleteOperation, AsyncMatchServiceRestStub + ): + def __hash__(self): + return hash("AsyncMatchServiceRestTransport.DeleteOperation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.DeleteOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the delete operation method over HTTP. + + Args: + request (operations_pb2.DeleteOperationRequest): + The request object for DeleteOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BaseMatchServiceRestTransport._BaseDeleteOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_delete_operation( + request, metadata + ) + transcoded_request = _BaseMatchServiceRestTransport._BaseDeleteOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseMatchServiceRestTransport._BaseDeleteOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.MatchServiceClient.DeleteOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "DeleteOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncMatchServiceRestTransport._DeleteOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + return await self._interceptor.post_delete_operation(None) + + @property + def get_operation(self): + return self._GetOperation(self._session, self._host, self._interceptor) # type: ignore + + class _GetOperation( + _BaseMatchServiceRestTransport._BaseGetOperation, AsyncMatchServiceRestStub + ): + def __hash__(self): + return hash("AsyncMatchServiceRestTransport.GetOperation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.GetOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the get operation method over HTTP. + + Args: + request (operations_pb2.GetOperationRequest): + The request object for GetOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from GetOperation method. + """ + + http_options = ( + _BaseMatchServiceRestTransport._BaseGetOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_operation( + request, metadata + ) + transcoded_request = _BaseMatchServiceRestTransport._BaseGetOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = ( + _BaseMatchServiceRestTransport._BaseGetOperation._get_query_params_json( + transcoded_request + ) + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.MatchServiceClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "GetOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncMatchServiceRestTransport._GetOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_get_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.MatchServiceAsyncClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "GetOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_operations(self): + return self._ListOperations(self._session, self._host, self._interceptor) # type: ignore + + class _ListOperations( + _BaseMatchServiceRestTransport._BaseListOperations, AsyncMatchServiceRestStub + ): + def __hash__(self): + return hash("AsyncMatchServiceRestTransport.ListOperations") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.ListOperationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Call the list operations method over HTTP. + + Args: + request (operations_pb2.ListOperationsRequest): + The request object for ListOperations method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.ListOperationsResponse: Response from ListOperations method. + """ + + http_options = ( + _BaseMatchServiceRestTransport._BaseListOperations._get_http_options() + ) + + request, metadata = await self._interceptor.pre_list_operations( + request, metadata + ) + transcoded_request = _BaseMatchServiceRestTransport._BaseListOperations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseMatchServiceRestTransport._BaseListOperations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.MatchServiceClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "ListOperations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncMatchServiceRestTransport._ListOperations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = operations_pb2.ListOperationsResponse() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_list_operations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.MatchServiceAsyncClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "ListOperations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def wait_operation(self): + return self._WaitOperation(self._session, self._host, self._interceptor) # type: ignore + + class _WaitOperation( + _BaseMatchServiceRestTransport._BaseWaitOperation, AsyncMatchServiceRestStub + ): + def __hash__(self): + return hash("AsyncMatchServiceRestTransport.WaitOperation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.WaitOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the wait operation method over HTTP. + + Args: + request (operations_pb2.WaitOperationRequest): + The request object for WaitOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from WaitOperation method. + """ + + http_options = ( + _BaseMatchServiceRestTransport._BaseWaitOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_wait_operation( + request, metadata + ) + transcoded_request = _BaseMatchServiceRestTransport._BaseWaitOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BaseMatchServiceRestTransport._BaseWaitOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.MatchServiceClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "WaitOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + await AsyncMatchServiceRestTransport._WaitOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_wait_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.MatchServiceAsyncClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.MatchService", + "rpcName": "WaitOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def kind(self) -> str: + return "rest_asyncio" + + async def close(self): + await self._session.close() diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/transports/rest_base.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/transports/rest_base.py new file mode 100644 index 0000000000000000000000000000000000000000..01b69f1385d71252256a43c966b0d8284e96398c --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/match_service/transports/rest_base.py @@ -0,0 +1,2584 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import json # type: ignore +from google.api_core import path_template +from google.api_core import gapic_v1 + +from google.protobuf import json_format +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore +from .base import MatchServiceTransport, DEFAULT_CLIENT_INFO + +import re +from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union + + +from google.cloud.aiplatform_v1.types import match_service +from google.longrunning import operations_pb2 # type: ignore + + +class _BaseMatchServiceRestTransport(MatchServiceTransport): + """Base REST backend transport for MatchService. + + Note: This class is not meant to be used directly. Use its sync and + async sub-classes instead. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + """ + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[Any] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + url_scheme: str = "https", + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[Any]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + url_scheme: the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + maybe_url_match = re.match("^(?Phttp(?:s)?://)?(?P.*)$", host) + if maybe_url_match is None: + raise ValueError( + f"Unexpected hostname structure: {host}" + ) # pragma: NO COVER + + url_match_items = maybe_url_match.groupdict() + + host = f"{url_scheme}://{host}" if not url_match_items["scheme"] else host + + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + class _BaseFindNeighbors: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{index_endpoint=projects/*/locations/*/indexEndpoints/*}:findNeighbors", + "body": "*", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = match_service.FindNeighborsRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request["body"], use_integers_for_enums=True + ) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseMatchServiceRestTransport._BaseFindNeighbors._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseReadIndexDatapoints: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{index_endpoint=projects/*/locations/*/indexEndpoints/*}:readIndexDatapoints", + "body": "*", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = match_service.ReadIndexDatapointsRequest.pb(request) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request["body"], use_integers_for_enums=True + ) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BaseMatchServiceRestTransport._BaseReadIndexDatapoints._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseGetLocation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseListLocations: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*}/locations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*}/locations", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseGetIamPolicy: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/models/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/models/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/endpoints/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/publishers/*/models/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureGroups/*}:getIamPolicy", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseSetIamPolicy: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/models/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/models/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/endpoints/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureGroups/*}:setIamPolicy", + "body": "*", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + body = json.dumps(transcoded_request["body"]) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseTestIamPermissions: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/models/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/models/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/endpoints/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureGroups/*}:testIamPermissions", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseCancelOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseDeleteOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensions/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseGetOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseListOperations: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/agents/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/apps/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensions/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/schedules/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/schedules/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=reasoningEngines/*/sessions/*}/operations", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseWaitOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:wait", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + +__all__ = ("_BaseMatchServiceRestTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/metadata_service/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/metadata_service/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..74e9509053da3f95435b27acca1c8d479b908cbd --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/metadata_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import MetadataServiceClient +from .async_client import MetadataServiceAsyncClient + +__all__ = ( + "MetadataServiceClient", + "MetadataServiceAsyncClient", +) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/metadata_service/async_client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/metadata_service/async_client.py new file mode 100644 index 0000000000000000000000000000000000000000..2a26209097db20bbc7927e794d91454d55a8b500 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/metadata_service/async_client.py @@ -0,0 +1,5140 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging as std_logging +from collections import OrderedDict +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, +) + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.services.metadata_service import pagers +from google.cloud.aiplatform_v1.types import artifact +from google.cloud.aiplatform_v1.types import artifact as gca_artifact +from google.cloud.aiplatform_v1.types import context +from google.cloud.aiplatform_v1.types import context as gca_context +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import event +from google.cloud.aiplatform_v1.types import execution +from google.cloud.aiplatform_v1.types import execution as gca_execution +from google.cloud.aiplatform_v1.types import lineage_subgraph +from google.cloud.aiplatform_v1.types import metadata_schema +from google.cloud.aiplatform_v1.types import metadata_schema as gca_metadata_schema +from google.cloud.aiplatform_v1.types import metadata_service +from google.cloud.aiplatform_v1.types import metadata_store +from google.cloud.aiplatform_v1.types import metadata_store as gca_metadata_store +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.struct_pb2 as struct_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +from .transports.base import MetadataServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import MetadataServiceGrpcAsyncIOTransport +from .client import MetadataServiceClient + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class MetadataServiceAsyncClient: + """Service for reading and writing metadata entries.""" + + _client: MetadataServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = MetadataServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = MetadataServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = MetadataServiceClient._DEFAULT_ENDPOINT_TEMPLATE + _DEFAULT_UNIVERSE = MetadataServiceClient._DEFAULT_UNIVERSE + + artifact_path = staticmethod(MetadataServiceClient.artifact_path) + parse_artifact_path = staticmethod(MetadataServiceClient.parse_artifact_path) + context_path = staticmethod(MetadataServiceClient.context_path) + parse_context_path = staticmethod(MetadataServiceClient.parse_context_path) + execution_path = staticmethod(MetadataServiceClient.execution_path) + parse_execution_path = staticmethod(MetadataServiceClient.parse_execution_path) + metadata_schema_path = staticmethod(MetadataServiceClient.metadata_schema_path) + parse_metadata_schema_path = staticmethod( + MetadataServiceClient.parse_metadata_schema_path + ) + metadata_store_path = staticmethod(MetadataServiceClient.metadata_store_path) + parse_metadata_store_path = staticmethod( + MetadataServiceClient.parse_metadata_store_path + ) + common_billing_account_path = staticmethod( + MetadataServiceClient.common_billing_account_path + ) + parse_common_billing_account_path = staticmethod( + MetadataServiceClient.parse_common_billing_account_path + ) + common_folder_path = staticmethod(MetadataServiceClient.common_folder_path) + parse_common_folder_path = staticmethod( + MetadataServiceClient.parse_common_folder_path + ) + common_organization_path = staticmethod( + MetadataServiceClient.common_organization_path + ) + parse_common_organization_path = staticmethod( + MetadataServiceClient.parse_common_organization_path + ) + common_project_path = staticmethod(MetadataServiceClient.common_project_path) + parse_common_project_path = staticmethod( + MetadataServiceClient.parse_common_project_path + ) + common_location_path = staticmethod(MetadataServiceClient.common_location_path) + parse_common_location_path = staticmethod( + MetadataServiceClient.parse_common_location_path + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + MetadataServiceAsyncClient: The constructed client. + """ + sa_info_func = ( + MetadataServiceClient.from_service_account_info.__func__ # type: ignore + ) + return sa_info_func(MetadataServiceAsyncClient, info, *args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + MetadataServiceAsyncClient: The constructed client. + """ + sa_file_func = ( + MetadataServiceClient.from_service_account_file.__func__ # type: ignore + ) + return sa_file_func(MetadataServiceAsyncClient, filename, *args, **kwargs) + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[ClientOptions] = None + ): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return MetadataServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> MetadataServiceTransport: + """Returns the transport used by the client instance. + + Returns: + MetadataServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = MetadataServiceClient.get_transport_class + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, MetadataServiceTransport, Callable[..., MetadataServiceTransport] + ] + ] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the metadata service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,MetadataServiceTransport,Callable[..., MetadataServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport to use. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the MetadataServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = MetadataServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.MetadataServiceAsyncClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.MetadataService", + "universeDomain": getattr( + self._client._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._client._transport._credentials).__module__}.{type(self._client._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, "get_cred_info", lambda: None + )(), + } + if hasattr(self._client._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.MetadataService", + "credentialsType": None, + } + ), + ) + + async def create_metadata_store( + self, + request: Optional[ + Union[metadata_service.CreateMetadataStoreRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + metadata_store: Optional[gca_metadata_store.MetadataStore] = None, + metadata_store_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Initializes a MetadataStore, including allocation of + resources. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_metadata_store(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.CreateMetadataStoreRequest( + parent="parent_value", + ) + + # Make the request + operation = client.create_metadata_store(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateMetadataStoreRequest, dict]]): + The request object. Request message for + [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore]. + parent (:class:`str`): + Required. The resource name of the Location where the + MetadataStore should be created. Format: + ``projects/{project}/locations/{location}/`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + metadata_store (:class:`google.cloud.aiplatform_v1.types.MetadataStore`): + Required. The MetadataStore to + create. + + This corresponds to the ``metadata_store`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + metadata_store_id (:class:`str`): + The {metadatastore} portion of the resource name with + the format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + If not provided, the MetadataStore's ID will be a UUID + generated by the service. Must be 4-128 characters in + length. Valid characters are ``/[a-z][0-9]-/``. Must be + unique across all MetadataStores in the parent Location. + (Otherwise the request will fail with ALREADY_EXISTS, or + PERMISSION_DENIED if the caller can't view the + preexisting MetadataStore.) + + This corresponds to the ``metadata_store_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.MetadataStore` Instance of a metadata store. Contains a set of metadata that can be + queried. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, metadata_store, metadata_store_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.CreateMetadataStoreRequest): + request = metadata_service.CreateMetadataStoreRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if metadata_store is not None: + request.metadata_store = metadata_store + if metadata_store_id is not None: + request.metadata_store_id = metadata_store_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_metadata_store + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gca_metadata_store.MetadataStore, + metadata_type=metadata_service.CreateMetadataStoreOperationMetadata, + ) + + # Done; return the response. + return response + + async def get_metadata_store( + self, + request: Optional[Union[metadata_service.GetMetadataStoreRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> metadata_store.MetadataStore: + r"""Retrieves a specific MetadataStore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_metadata_store(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetMetadataStoreRequest( + name="name_value", + ) + + # Make the request + response = await client.get_metadata_store(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetMetadataStoreRequest, dict]]): + The request object. Request message for + [MetadataService.GetMetadataStore][google.cloud.aiplatform.v1.MetadataService.GetMetadataStore]. + name (:class:`str`): + Required. The resource name of the MetadataStore to + retrieve. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.MetadataStore: + Instance of a metadata store. + Contains a set of metadata that can be + queried. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.GetMetadataStoreRequest): + request = metadata_service.GetMetadataStoreRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_metadata_store + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_metadata_stores( + self, + request: Optional[ + Union[metadata_service.ListMetadataStoresRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListMetadataStoresAsyncPager: + r"""Lists MetadataStores for a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_metadata_stores(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListMetadataStoresRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_metadata_stores(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListMetadataStoresRequest, dict]]): + The request object. Request message for + [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores]. + parent (:class:`str`): + Required. The Location whose MetadataStores should be + listed. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.metadata_service.pagers.ListMetadataStoresAsyncPager: + Response message for + [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.ListMetadataStoresRequest): + request = metadata_service.ListMetadataStoresRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_metadata_stores + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListMetadataStoresAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_metadata_store( + self, + request: Optional[ + Union[metadata_service.DeleteMetadataStoreRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a single MetadataStore and all its child + resources (Artifacts, Executions, and Contexts). + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_metadata_store(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteMetadataStoreRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_metadata_store(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteMetadataStoreRequest, dict]]): + The request object. Request message for + [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore]. + name (:class:`str`): + Required. The resource name of the MetadataStore to + delete. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.DeleteMetadataStoreRequest): + request = metadata_service.DeleteMetadataStoreRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_metadata_store + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=metadata_service.DeleteMetadataStoreOperationMetadata, + ) + + # Done; return the response. + return response + + async def create_artifact( + self, + request: Optional[Union[metadata_service.CreateArtifactRequest, dict]] = None, + *, + parent: Optional[str] = None, + artifact: Optional[gca_artifact.Artifact] = None, + artifact_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_artifact.Artifact: + r"""Creates an Artifact associated with a MetadataStore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_artifact(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.CreateArtifactRequest( + parent="parent_value", + ) + + # Make the request + response = await client.create_artifact(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateArtifactRequest, dict]]): + The request object. Request message for + [MetadataService.CreateArtifact][google.cloud.aiplatform.v1.MetadataService.CreateArtifact]. + parent (:class:`str`): + Required. The resource name of the MetadataStore where + the Artifact should be created. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + artifact (:class:`google.cloud.aiplatform_v1.types.Artifact`): + Required. The Artifact to create. + This corresponds to the ``artifact`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + artifact_id (:class:`str`): + The {artifact} portion of the resource name with the + format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`` + If not provided, the Artifact's ID will be a UUID + generated by the service. Must be 4-128 characters in + length. Valid characters are ``/[a-z][0-9]-/``. Must be + unique across all Artifacts in the parent MetadataStore. + (Otherwise the request will fail with ALREADY_EXISTS, or + PERMISSION_DENIED if the caller can't view the + preexisting Artifact.) + + This corresponds to the ``artifact_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Artifact: + Instance of a general artifact. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, artifact, artifact_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.CreateArtifactRequest): + request = metadata_service.CreateArtifactRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if artifact is not None: + request.artifact = artifact + if artifact_id is not None: + request.artifact_id = artifact_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_artifact + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_artifact( + self, + request: Optional[Union[metadata_service.GetArtifactRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> artifact.Artifact: + r"""Retrieves a specific Artifact. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_artifact(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetArtifactRequest( + name="name_value", + ) + + # Make the request + response = await client.get_artifact(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetArtifactRequest, dict]]): + The request object. Request message for + [MetadataService.GetArtifact][google.cloud.aiplatform.v1.MetadataService.GetArtifact]. + name (:class:`str`): + Required. The resource name of the Artifact to retrieve. + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Artifact: + Instance of a general artifact. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.GetArtifactRequest): + request = metadata_service.GetArtifactRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_artifact + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_artifacts( + self, + request: Optional[Union[metadata_service.ListArtifactsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListArtifactsAsyncPager: + r"""Lists Artifacts in the MetadataStore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_artifacts(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListArtifactsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_artifacts(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListArtifactsRequest, dict]]): + The request object. Request message for + [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]. + parent (:class:`str`): + Required. The MetadataStore whose Artifacts should be + listed. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.metadata_service.pagers.ListArtifactsAsyncPager: + Response message for + [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.ListArtifactsRequest): + request = metadata_service.ListArtifactsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_artifacts + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListArtifactsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def update_artifact( + self, + request: Optional[Union[metadata_service.UpdateArtifactRequest, dict]] = None, + *, + artifact: Optional[gca_artifact.Artifact] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_artifact.Artifact: + r"""Updates a stored Artifact. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_update_artifact(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.UpdateArtifactRequest( + ) + + # Make the request + response = await client.update_artifact(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UpdateArtifactRequest, dict]]): + The request object. Request message for + [MetadataService.UpdateArtifact][google.cloud.aiplatform.v1.MetadataService.UpdateArtifact]. + artifact (:class:`google.cloud.aiplatform_v1.types.Artifact`): + Required. The Artifact containing updates. The + Artifact's + [Artifact.name][google.cloud.aiplatform.v1.Artifact.name] + field is used to identify the Artifact to be updated. + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`` + + This corresponds to the ``artifact`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Optional. A FieldMask indicating + which fields should be updated. + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Artifact: + Instance of a general artifact. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [artifact, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.UpdateArtifactRequest): + request = metadata_service.UpdateArtifactRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if artifact is not None: + request.artifact = artifact + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.update_artifact + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("artifact.name", request.artifact.name),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_artifact( + self, + request: Optional[Union[metadata_service.DeleteArtifactRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes an Artifact. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_artifact(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteArtifactRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_artifact(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteArtifactRequest, dict]]): + The request object. Request message for + [MetadataService.DeleteArtifact][google.cloud.aiplatform.v1.MetadataService.DeleteArtifact]. + name (:class:`str`): + Required. The resource name of the Artifact to delete. + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.DeleteArtifactRequest): + request = metadata_service.DeleteArtifactRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_artifact + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def purge_artifacts( + self, + request: Optional[Union[metadata_service.PurgeArtifactsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Purges Artifacts. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_purge_artifacts(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.PurgeArtifactsRequest( + parent="parent_value", + filter="filter_value", + ) + + # Make the request + operation = client.purge_artifacts(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.PurgeArtifactsRequest, dict]]): + The request object. Request message for + [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts]. + parent (:class:`str`): + Required. The metadata store to purge Artifacts from. + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.PurgeArtifactsResponse` Response message for + [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.PurgeArtifactsRequest): + request = metadata_service.PurgeArtifactsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.purge_artifacts + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + metadata_service.PurgeArtifactsResponse, + metadata_type=metadata_service.PurgeArtifactsMetadata, + ) + + # Done; return the response. + return response + + async def create_context( + self, + request: Optional[Union[metadata_service.CreateContextRequest, dict]] = None, + *, + parent: Optional[str] = None, + context: Optional[gca_context.Context] = None, + context_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_context.Context: + r"""Creates a Context associated with a MetadataStore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_context(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.CreateContextRequest( + parent="parent_value", + ) + + # Make the request + response = await client.create_context(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateContextRequest, dict]]): + The request object. Request message for + [MetadataService.CreateContext][google.cloud.aiplatform.v1.MetadataService.CreateContext]. + parent (:class:`str`): + Required. The resource name of the MetadataStore where + the Context should be created. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + context (:class:`google.cloud.aiplatform_v1.types.Context`): + Required. The Context to create. + This corresponds to the ``context`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + context_id (:class:`str`): + The {context} portion of the resource name with the + format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}``. + If not provided, the Context's ID will be a UUID + generated by the service. Must be 4-128 characters in + length. Valid characters are ``/[a-z][0-9]-/``. Must be + unique across all Contexts in the parent MetadataStore. + (Otherwise the request will fail with ALREADY_EXISTS, or + PERMISSION_DENIED if the caller can't view the + preexisting Context.) + + This corresponds to the ``context_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Context: + Instance of a general context. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, context, context_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.CreateContextRequest): + request = metadata_service.CreateContextRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if context is not None: + request.context = context + if context_id is not None: + request.context_id = context_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_context + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_context( + self, + request: Optional[Union[metadata_service.GetContextRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> context.Context: + r"""Retrieves a specific Context. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_context(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetContextRequest( + name="name_value", + ) + + # Make the request + response = await client.get_context(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetContextRequest, dict]]): + The request object. Request message for + [MetadataService.GetContext][google.cloud.aiplatform.v1.MetadataService.GetContext]. + name (:class:`str`): + Required. The resource name of the Context to retrieve. + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Context: + Instance of a general context. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.GetContextRequest): + request = metadata_service.GetContextRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_context + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_contexts( + self, + request: Optional[Union[metadata_service.ListContextsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListContextsAsyncPager: + r"""Lists Contexts on the MetadataStore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_contexts(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListContextsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_contexts(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListContextsRequest, dict]]): + The request object. Request message for + [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts] + parent (:class:`str`): + Required. The MetadataStore whose Contexts should be + listed. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.metadata_service.pagers.ListContextsAsyncPager: + Response message for + [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.ListContextsRequest): + request = metadata_service.ListContextsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_contexts + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListContextsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def update_context( + self, + request: Optional[Union[metadata_service.UpdateContextRequest, dict]] = None, + *, + context: Optional[gca_context.Context] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_context.Context: + r"""Updates a stored Context. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_update_context(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.UpdateContextRequest( + ) + + # Make the request + response = await client.update_context(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UpdateContextRequest, dict]]): + The request object. Request message for + [MetadataService.UpdateContext][google.cloud.aiplatform.v1.MetadataService.UpdateContext]. + context (:class:`google.cloud.aiplatform_v1.types.Context`): + Required. The Context containing updates. The Context's + [Context.name][google.cloud.aiplatform.v1.Context.name] + field is used to identify the Context to be updated. + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`` + + This corresponds to the ``context`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Optional. A FieldMask indicating + which fields should be updated. + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Context: + Instance of a general context. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [context, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.UpdateContextRequest): + request = metadata_service.UpdateContextRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if context is not None: + request.context = context + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.update_context + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("context.name", request.context.name),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_context( + self, + request: Optional[Union[metadata_service.DeleteContextRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a stored Context. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_context(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteContextRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_context(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteContextRequest, dict]]): + The request object. Request message for + [MetadataService.DeleteContext][google.cloud.aiplatform.v1.MetadataService.DeleteContext]. + name (:class:`str`): + Required. The resource name of the Context to delete. + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.DeleteContextRequest): + request = metadata_service.DeleteContextRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_context + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def purge_contexts( + self, + request: Optional[Union[metadata_service.PurgeContextsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Purges Contexts. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_purge_contexts(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.PurgeContextsRequest( + parent="parent_value", + filter="filter_value", + ) + + # Make the request + operation = client.purge_contexts(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.PurgeContextsRequest, dict]]): + The request object. Request message for + [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts]. + parent (:class:`str`): + Required. The metadata store to purge Contexts from. + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.PurgeContextsResponse` Response message for + [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.PurgeContextsRequest): + request = metadata_service.PurgeContextsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.purge_contexts + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + metadata_service.PurgeContextsResponse, + metadata_type=metadata_service.PurgeContextsMetadata, + ) + + # Done; return the response. + return response + + async def add_context_artifacts_and_executions( + self, + request: Optional[ + Union[metadata_service.AddContextArtifactsAndExecutionsRequest, dict] + ] = None, + *, + context: Optional[str] = None, + artifacts: Optional[MutableSequence[str]] = None, + executions: Optional[MutableSequence[str]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> metadata_service.AddContextArtifactsAndExecutionsResponse: + r"""Adds a set of Artifacts and Executions to a Context. + If any of the Artifacts or Executions have already been + added to a Context, they are simply skipped. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_add_context_artifacts_and_executions(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.AddContextArtifactsAndExecutionsRequest( + context="context_value", + ) + + # Make the request + response = await client.add_context_artifacts_and_executions(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.AddContextArtifactsAndExecutionsRequest, dict]]): + The request object. Request message for + [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions]. + context (:class:`str`): + Required. The resource name of the Context that the + Artifacts and Executions belong to. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`` + + This corresponds to the ``context`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + artifacts (:class:`MutableSequence[str]`): + The resource names of the Artifacts to attribute to the + Context. + + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`` + + This corresponds to the ``artifacts`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + executions (:class:`MutableSequence[str]`): + The resource names of the Executions to associate with + the Context. + + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`` + + This corresponds to the ``executions`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.AddContextArtifactsAndExecutionsResponse: + Response message for + [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [context, artifacts, executions] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, metadata_service.AddContextArtifactsAndExecutionsRequest + ): + request = metadata_service.AddContextArtifactsAndExecutionsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if context is not None: + request.context = context + if artifacts: + request.artifacts.extend(artifacts) + if executions: + request.executions.extend(executions) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.add_context_artifacts_and_executions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("context", request.context),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def add_context_children( + self, + request: Optional[ + Union[metadata_service.AddContextChildrenRequest, dict] + ] = None, + *, + context: Optional[str] = None, + child_contexts: Optional[MutableSequence[str]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> metadata_service.AddContextChildrenResponse: + r"""Adds a set of Contexts as children to a parent Context. If any + of the child Contexts have already been added to the parent + Context, they are simply skipped. If this call would create a + cycle or cause any Context to have more than 10 parents, the + request will fail with an INVALID_ARGUMENT error. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_add_context_children(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.AddContextChildrenRequest( + context="context_value", + ) + + # Make the request + response = await client.add_context_children(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.AddContextChildrenRequest, dict]]): + The request object. Request message for + [MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren]. + context (:class:`str`): + Required. The resource name of the parent Context. + + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`` + + This corresponds to the ``context`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + child_contexts (:class:`MutableSequence[str]`): + The resource names of the child + Contexts. + + This corresponds to the ``child_contexts`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.AddContextChildrenResponse: + Response message for + [MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [context, child_contexts] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.AddContextChildrenRequest): + request = metadata_service.AddContextChildrenRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if context is not None: + request.context = context + if child_contexts: + request.child_contexts.extend(child_contexts) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.add_context_children + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("context", request.context),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def remove_context_children( + self, + request: Optional[ + Union[metadata_service.RemoveContextChildrenRequest, dict] + ] = None, + *, + context: Optional[str] = None, + child_contexts: Optional[MutableSequence[str]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> metadata_service.RemoveContextChildrenResponse: + r"""Remove a set of children contexts from a parent + Context. If any of the child Contexts were NOT added to + the parent Context, they are simply skipped. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_remove_context_children(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.RemoveContextChildrenRequest( + context="context_value", + ) + + # Make the request + response = await client.remove_context_children(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.RemoveContextChildrenRequest, dict]]): + The request object. Request message for + [MetadataService.DeleteContextChildrenRequest][]. + context (:class:`str`): + Required. The resource name of the parent Context. + + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`` + + This corresponds to the ``context`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + child_contexts (:class:`MutableSequence[str]`): + The resource names of the child + Contexts. + + This corresponds to the ``child_contexts`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.RemoveContextChildrenResponse: + Response message for + [MetadataService.RemoveContextChildren][google.cloud.aiplatform.v1.MetadataService.RemoveContextChildren]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [context, child_contexts] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.RemoveContextChildrenRequest): + request = metadata_service.RemoveContextChildrenRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if context is not None: + request.context = context + if child_contexts: + request.child_contexts.extend(child_contexts) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.remove_context_children + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("context", request.context),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def query_context_lineage_subgraph( + self, + request: Optional[ + Union[metadata_service.QueryContextLineageSubgraphRequest, dict] + ] = None, + *, + context: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> lineage_subgraph.LineageSubgraph: + r"""Retrieves Artifacts and Executions within the + specified Context, connected by Event edges and returned + as a LineageSubgraph. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_query_context_lineage_subgraph(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.QueryContextLineageSubgraphRequest( + context="context_value", + ) + + # Make the request + response = await client.query_context_lineage_subgraph(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.QueryContextLineageSubgraphRequest, dict]]): + The request object. Request message for + [MetadataService.QueryContextLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryContextLineageSubgraph]. + context (:class:`str`): + Required. The resource name of the Context whose + Artifacts and Executions should be retrieved as a + LineageSubgraph. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`` + + The request may error with FAILED_PRECONDITION if the + number of Artifacts, the number of Executions, or the + number of Events that would be returned for the Context + exceeds 1000. + + This corresponds to the ``context`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.LineageSubgraph: + A subgraph of the overall lineage + graph. Event edges connect Artifact and + Execution nodes. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [context] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.QueryContextLineageSubgraphRequest): + request = metadata_service.QueryContextLineageSubgraphRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if context is not None: + request.context = context + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.query_context_lineage_subgraph + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("context", request.context),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def create_execution( + self, + request: Optional[Union[metadata_service.CreateExecutionRequest, dict]] = None, + *, + parent: Optional[str] = None, + execution: Optional[gca_execution.Execution] = None, + execution_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_execution.Execution: + r"""Creates an Execution associated with a MetadataStore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_execution(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.CreateExecutionRequest( + parent="parent_value", + ) + + # Make the request + response = await client.create_execution(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateExecutionRequest, dict]]): + The request object. Request message for + [MetadataService.CreateExecution][google.cloud.aiplatform.v1.MetadataService.CreateExecution]. + parent (:class:`str`): + Required. The resource name of the MetadataStore where + the Execution should be created. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + execution (:class:`google.cloud.aiplatform_v1.types.Execution`): + Required. The Execution to create. + This corresponds to the ``execution`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + execution_id (:class:`str`): + The {execution} portion of the resource name with the + format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`` + If not provided, the Execution's ID will be a UUID + generated by the service. Must be 4-128 characters in + length. Valid characters are ``/[a-z][0-9]-/``. Must be + unique across all Executions in the parent + MetadataStore. (Otherwise the request will fail with + ALREADY_EXISTS, or PERMISSION_DENIED if the caller can't + view the preexisting Execution.) + + This corresponds to the ``execution_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Execution: + Instance of a general execution. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, execution, execution_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.CreateExecutionRequest): + request = metadata_service.CreateExecutionRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if execution is not None: + request.execution = execution + if execution_id is not None: + request.execution_id = execution_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_execution + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_execution( + self, + request: Optional[Union[metadata_service.GetExecutionRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> execution.Execution: + r"""Retrieves a specific Execution. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_execution(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetExecutionRequest( + name="name_value", + ) + + # Make the request + response = await client.get_execution(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetExecutionRequest, dict]]): + The request object. Request message for + [MetadataService.GetExecution][google.cloud.aiplatform.v1.MetadataService.GetExecution]. + name (:class:`str`): + Required. The resource name of the Execution to + retrieve. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Execution: + Instance of a general execution. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.GetExecutionRequest): + request = metadata_service.GetExecutionRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_execution + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_executions( + self, + request: Optional[Union[metadata_service.ListExecutionsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListExecutionsAsyncPager: + r"""Lists Executions in the MetadataStore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_executions(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListExecutionsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_executions(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListExecutionsRequest, dict]]): + The request object. Request message for + [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]. + parent (:class:`str`): + Required. The MetadataStore whose Executions should be + listed. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.metadata_service.pagers.ListExecutionsAsyncPager: + Response message for + [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.ListExecutionsRequest): + request = metadata_service.ListExecutionsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_executions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListExecutionsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def update_execution( + self, + request: Optional[Union[metadata_service.UpdateExecutionRequest, dict]] = None, + *, + execution: Optional[gca_execution.Execution] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_execution.Execution: + r"""Updates a stored Execution. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_update_execution(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.UpdateExecutionRequest( + ) + + # Make the request + response = await client.update_execution(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UpdateExecutionRequest, dict]]): + The request object. Request message for + [MetadataService.UpdateExecution][google.cloud.aiplatform.v1.MetadataService.UpdateExecution]. + execution (:class:`google.cloud.aiplatform_v1.types.Execution`): + Required. The Execution containing updates. The + Execution's + [Execution.name][google.cloud.aiplatform.v1.Execution.name] + field is used to identify the Execution to be updated. + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`` + + This corresponds to the ``execution`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Optional. A FieldMask indicating + which fields should be updated. + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Execution: + Instance of a general execution. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [execution, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.UpdateExecutionRequest): + request = metadata_service.UpdateExecutionRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if execution is not None: + request.execution = execution + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.update_execution + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("execution.name", request.execution.name),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_execution( + self, + request: Optional[Union[metadata_service.DeleteExecutionRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes an Execution. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_execution(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteExecutionRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_execution(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteExecutionRequest, dict]]): + The request object. Request message for + [MetadataService.DeleteExecution][google.cloud.aiplatform.v1.MetadataService.DeleteExecution]. + name (:class:`str`): + Required. The resource name of the Execution to delete. + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.DeleteExecutionRequest): + request = metadata_service.DeleteExecutionRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_execution + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def purge_executions( + self, + request: Optional[Union[metadata_service.PurgeExecutionsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Purges Executions. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_purge_executions(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.PurgeExecutionsRequest( + parent="parent_value", + filter="filter_value", + ) + + # Make the request + operation = client.purge_executions(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.PurgeExecutionsRequest, dict]]): + The request object. Request message for + [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions]. + parent (:class:`str`): + Required. The metadata store to purge Executions from. + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.PurgeExecutionsResponse` Response message for + [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.PurgeExecutionsRequest): + request = metadata_service.PurgeExecutionsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.purge_executions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + metadata_service.PurgeExecutionsResponse, + metadata_type=metadata_service.PurgeExecutionsMetadata, + ) + + # Done; return the response. + return response + + async def add_execution_events( + self, + request: Optional[ + Union[metadata_service.AddExecutionEventsRequest, dict] + ] = None, + *, + execution: Optional[str] = None, + events: Optional[MutableSequence[event.Event]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> metadata_service.AddExecutionEventsResponse: + r"""Adds Events to the specified Execution. An Event + indicates whether an Artifact was used as an input or + output for an Execution. If an Event already exists + between the Execution and the Artifact, the Event is + skipped. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_add_execution_events(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.AddExecutionEventsRequest( + execution="execution_value", + ) + + # Make the request + response = await client.add_execution_events(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.AddExecutionEventsRequest, dict]]): + The request object. Request message for + [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents]. + execution (:class:`str`): + Required. The resource name of the Execution that the + Events connect Artifacts with. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`` + + This corresponds to the ``execution`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + events (:class:`MutableSequence[google.cloud.aiplatform_v1.types.Event]`): + The Events to create and add. + This corresponds to the ``events`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.AddExecutionEventsResponse: + Response message for + [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [execution, events] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.AddExecutionEventsRequest): + request = metadata_service.AddExecutionEventsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if execution is not None: + request.execution = execution + if events: + request.events.extend(events) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.add_execution_events + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("execution", request.execution),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def query_execution_inputs_and_outputs( + self, + request: Optional[ + Union[metadata_service.QueryExecutionInputsAndOutputsRequest, dict] + ] = None, + *, + execution: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> lineage_subgraph.LineageSubgraph: + r"""Obtains the set of input and output Artifacts for + this Execution, in the form of LineageSubgraph that also + contains the Execution and connecting Events. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_query_execution_inputs_and_outputs(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.QueryExecutionInputsAndOutputsRequest( + execution="execution_value", + ) + + # Make the request + response = await client.query_execution_inputs_and_outputs(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.QueryExecutionInputsAndOutputsRequest, dict]]): + The request object. Request message for + [MetadataService.QueryExecutionInputsAndOutputs][google.cloud.aiplatform.v1.MetadataService.QueryExecutionInputsAndOutputs]. + execution (:class:`str`): + Required. The resource name of the Execution whose input + and output Artifacts should be retrieved as a + LineageSubgraph. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`` + + This corresponds to the ``execution`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.LineageSubgraph: + A subgraph of the overall lineage + graph. Event edges connect Artifact and + Execution nodes. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [execution] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, metadata_service.QueryExecutionInputsAndOutputsRequest + ): + request = metadata_service.QueryExecutionInputsAndOutputsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if execution is not None: + request.execution = execution + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.query_execution_inputs_and_outputs + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("execution", request.execution),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def create_metadata_schema( + self, + request: Optional[ + Union[metadata_service.CreateMetadataSchemaRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + metadata_schema: Optional[gca_metadata_schema.MetadataSchema] = None, + metadata_schema_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_metadata_schema.MetadataSchema: + r"""Creates a MetadataSchema. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_metadata_schema(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + metadata_schema = aiplatform_v1.MetadataSchema() + metadata_schema.schema = "schema_value" + + request = aiplatform_v1.CreateMetadataSchemaRequest( + parent="parent_value", + metadata_schema=metadata_schema, + ) + + # Make the request + response = await client.create_metadata_schema(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateMetadataSchemaRequest, dict]]): + The request object. Request message for + [MetadataService.CreateMetadataSchema][google.cloud.aiplatform.v1.MetadataService.CreateMetadataSchema]. + parent (:class:`str`): + Required. The resource name of the MetadataStore where + the MetadataSchema should be created. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + metadata_schema (:class:`google.cloud.aiplatform_v1.types.MetadataSchema`): + Required. The MetadataSchema to + create. + + This corresponds to the ``metadata_schema`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + metadata_schema_id (:class:`str`): + The {metadata_schema} portion of the resource name with + the format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/metadataSchemas/{metadataschema}`` + If not provided, the MetadataStore's ID will be a UUID + generated by the service. Must be 4-128 characters in + length. Valid characters are ``/[a-z][0-9]-/``. Must be + unique across all MetadataSchemas in the parent + Location. (Otherwise the request will fail with + ALREADY_EXISTS, or PERMISSION_DENIED if the caller can't + view the preexisting MetadataSchema.) + + This corresponds to the ``metadata_schema_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.MetadataSchema: + Instance of a general MetadataSchema. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, metadata_schema, metadata_schema_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.CreateMetadataSchemaRequest): + request = metadata_service.CreateMetadataSchemaRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if metadata_schema is not None: + request.metadata_schema = metadata_schema + if metadata_schema_id is not None: + request.metadata_schema_id = metadata_schema_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_metadata_schema + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_metadata_schema( + self, + request: Optional[ + Union[metadata_service.GetMetadataSchemaRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> metadata_schema.MetadataSchema: + r"""Retrieves a specific MetadataSchema. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_metadata_schema(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetMetadataSchemaRequest( + name="name_value", + ) + + # Make the request + response = await client.get_metadata_schema(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetMetadataSchemaRequest, dict]]): + The request object. Request message for + [MetadataService.GetMetadataSchema][google.cloud.aiplatform.v1.MetadataService.GetMetadataSchema]. + name (:class:`str`): + Required. The resource name of the MetadataSchema to + retrieve. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/metadataSchemas/{metadataschema}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.MetadataSchema: + Instance of a general MetadataSchema. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.GetMetadataSchemaRequest): + request = metadata_service.GetMetadataSchemaRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_metadata_schema + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_metadata_schemas( + self, + request: Optional[ + Union[metadata_service.ListMetadataSchemasRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListMetadataSchemasAsyncPager: + r"""Lists MetadataSchemas. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_metadata_schemas(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListMetadataSchemasRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_metadata_schemas(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListMetadataSchemasRequest, dict]]): + The request object. Request message for + [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas]. + parent (:class:`str`): + Required. The MetadataStore whose MetadataSchemas should + be listed. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.metadata_service.pagers.ListMetadataSchemasAsyncPager: + Response message for + [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.ListMetadataSchemasRequest): + request = metadata_service.ListMetadataSchemasRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_metadata_schemas + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListMetadataSchemasAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def query_artifact_lineage_subgraph( + self, + request: Optional[ + Union[metadata_service.QueryArtifactLineageSubgraphRequest, dict] + ] = None, + *, + artifact: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> lineage_subgraph.LineageSubgraph: + r"""Retrieves lineage of an Artifact represented through + Artifacts and Executions connected by Event edges and + returned as a LineageSubgraph. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_query_artifact_lineage_subgraph(): + # Create a client + client = aiplatform_v1.MetadataServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.QueryArtifactLineageSubgraphRequest( + artifact="artifact_value", + ) + + # Make the request + response = await client.query_artifact_lineage_subgraph(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.QueryArtifactLineageSubgraphRequest, dict]]): + The request object. Request message for + [MetadataService.QueryArtifactLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryArtifactLineageSubgraph]. + artifact (:class:`str`): + Required. The resource name of the Artifact whose + Lineage needs to be retrieved as a LineageSubgraph. + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`` + + The request may error with FAILED_PRECONDITION if the + number of Artifacts, the number of Executions, or the + number of Events that would be returned for the Context + exceeds 1000. + + This corresponds to the ``artifact`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.LineageSubgraph: + A subgraph of the overall lineage + graph. Event edges connect Artifact and + Execution nodes. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [artifact] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, metadata_service.QueryArtifactLineageSubgraphRequest + ): + request = metadata_service.QueryArtifactLineageSubgraphRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if artifact is not None: + request.artifact = artifact + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.query_artifact_lineage_subgraph + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("artifact", request.artifact),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[ + self._client._transport.test_iam_permissions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self) -> "MetadataServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +__all__ = ("MetadataServiceAsyncClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/metadata_service/client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/metadata_service/client.py new file mode 100644 index 0000000000000000000000000000000000000000..182efc1aa2359197fedf3704508ac6ccde578de1 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/metadata_service/client.py @@ -0,0 +1,5645 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from http import HTTPStatus +import json +import logging as std_logging +import os +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, + cast, +) +import warnings + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + +from google.cloud.aiplatform_v1.services.metadata_service import pagers +from google.cloud.aiplatform_v1.types import artifact +from google.cloud.aiplatform_v1.types import artifact as gca_artifact +from google.cloud.aiplatform_v1.types import context +from google.cloud.aiplatform_v1.types import context as gca_context +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import event +from google.cloud.aiplatform_v1.types import execution +from google.cloud.aiplatform_v1.types import execution as gca_execution +from google.cloud.aiplatform_v1.types import lineage_subgraph +from google.cloud.aiplatform_v1.types import metadata_schema +from google.cloud.aiplatform_v1.types import metadata_schema as gca_metadata_schema +from google.cloud.aiplatform_v1.types import metadata_service +from google.cloud.aiplatform_v1.types import metadata_store +from google.cloud.aiplatform_v1.types import metadata_store as gca_metadata_store +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.struct_pb2 as struct_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +from .transports.base import MetadataServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import MetadataServiceGrpcTransport +from .transports.grpc_asyncio import MetadataServiceGrpcAsyncIOTransport +from .transports.rest import MetadataServiceRestTransport + +try: + from .transports.rest_asyncio import AsyncMetadataServiceRestTransport + + HAS_ASYNC_REST_DEPENDENCIES = True +except ImportError as e: # pragma: NO COVER + HAS_ASYNC_REST_DEPENDENCIES = False + ASYNC_REST_EXCEPTION = e + + +class MetadataServiceClientMeta(type): + """Metaclass for the MetadataService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + + _transport_registry = ( + OrderedDict() + ) # type: Dict[str, Type[MetadataServiceTransport]] + _transport_registry["grpc"] = MetadataServiceGrpcTransport + _transport_registry["grpc_asyncio"] = MetadataServiceGrpcAsyncIOTransport + _transport_registry["rest"] = MetadataServiceRestTransport + if HAS_ASYNC_REST_DEPENDENCIES: # pragma: NO COVER + _transport_registry["rest_asyncio"] = AsyncMetadataServiceRestTransport + + def get_transport_class( + cls, + label: Optional[str] = None, + ) -> Type[MetadataServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if ( + label == "rest_asyncio" and not HAS_ASYNC_REST_DEPENDENCIES + ): # pragma: NO COVER + raise ASYNC_REST_EXCEPTION + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class MetadataServiceClient(metaclass=MetadataServiceClientMeta): + """Service for reading and writing metadata entries.""" + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "aiplatform.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @staticmethod + def _use_client_cert_effective(): + """Returns whether client certificate should be used for mTLS if the + google-auth version supports should_use_client_cert automatic mTLS enablement. + + Alternatively, read from the GOOGLE_API_USE_CLIENT_CERTIFICATE env var. + + Returns: + bool: whether client certificate should be used for mTLS + Raises: + ValueError: (If using a version of google-auth without should_use_client_cert and + GOOGLE_API_USE_CLIENT_CERTIFICATE is set to an unexpected value.) + """ + # check if google-auth version supports should_use_client_cert for automatic mTLS enablement + if hasattr(mtls, "should_use_client_cert"): # pragma: NO COVER + return mtls.should_use_client_cert() + else: # pragma: NO COVER + # if unsupported, fallback to reading from env var + use_client_cert_str = os.getenv( + "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false" + ).lower() + if use_client_cert_str not in ("true", "false"): + raise ValueError( + "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be" + " either `true` or `false`" + ) + return use_client_cert_str == "true" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + MetadataServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + MetadataServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file(filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> MetadataServiceTransport: + """Returns the transport used by the client instance. + + Returns: + MetadataServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def artifact_path( + project: str, + location: str, + metadata_store: str, + artifact: str, + ) -> str: + """Returns a fully-qualified artifact string.""" + return "projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}".format( + project=project, + location=location, + metadata_store=metadata_store, + artifact=artifact, + ) + + @staticmethod + def parse_artifact_path(path: str) -> Dict[str, str]: + """Parses a artifact path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/metadataStores/(?P.+?)/artifacts/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def context_path( + project: str, + location: str, + metadata_store: str, + context: str, + ) -> str: + """Returns a fully-qualified context string.""" + return "projects/{project}/locations/{location}/metadataStores/{metadata_store}/contexts/{context}".format( + project=project, + location=location, + metadata_store=metadata_store, + context=context, + ) + + @staticmethod + def parse_context_path(path: str) -> Dict[str, str]: + """Parses a context path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/metadataStores/(?P.+?)/contexts/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def execution_path( + project: str, + location: str, + metadata_store: str, + execution: str, + ) -> str: + """Returns a fully-qualified execution string.""" + return "projects/{project}/locations/{location}/metadataStores/{metadata_store}/executions/{execution}".format( + project=project, + location=location, + metadata_store=metadata_store, + execution=execution, + ) + + @staticmethod + def parse_execution_path(path: str) -> Dict[str, str]: + """Parses a execution path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/metadataStores/(?P.+?)/executions/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def metadata_schema_path( + project: str, + location: str, + metadata_store: str, + metadata_schema: str, + ) -> str: + """Returns a fully-qualified metadata_schema string.""" + return "projects/{project}/locations/{location}/metadataStores/{metadata_store}/metadataSchemas/{metadata_schema}".format( + project=project, + location=location, + metadata_store=metadata_store, + metadata_schema=metadata_schema, + ) + + @staticmethod + def parse_metadata_schema_path(path: str) -> Dict[str, str]: + """Parses a metadata_schema path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/metadataStores/(?P.+?)/metadataSchemas/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def metadata_store_path( + project: str, + location: str, + metadata_store: str, + ) -> str: + """Returns a fully-qualified metadata_store string.""" + return "projects/{project}/locations/{location}/metadataStores/{metadata_store}".format( + project=project, + location=location, + metadata_store=metadata_store, + ) + + @staticmethod + def parse_metadata_store_path(path: str) -> Dict[str, str]: + """Parses a metadata_store path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/metadataStores/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path( + billing_account: str, + ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format( + billing_account=billing_account, + ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str, str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path( + folder: str, + ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format( + folder=folder, + ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str, str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path( + organization: str, + ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format( + organization=organization, + ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str, str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path( + project: str, + ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format( + project=project, + ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str, str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path( + project: str, + location: str, + ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format( + project=project, + location=location, + ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str, str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[client_options_lib.ClientOptions] = None + ): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn( + "get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning, + ) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = MetadataServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert: + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = MetadataServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + return use_client_cert, use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint( + api_override, client_cert_source, universe_domain, use_mtls_endpoint + ): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + _default_universe = MetadataServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError( + f"mTLS is not supported in any universe other than {_default_universe}." + ) + api_endpoint = MetadataServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = MetadataServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format( + UNIVERSE_DOMAIN=universe_domain + ) + return api_endpoint + + @staticmethod + def _get_universe_domain( + client_universe_domain: Optional[str], universe_domain_env: Optional[str] + ) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = MetadataServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + + # NOTE (b/349488459): universe validation is disabled until further notice. + return True + + def _add_cred_info_for_auth_errors( + self, error: core_exceptions.GoogleAPICallError + ) -> None: + """Adds credential info string to error details for 401/403/404 errors. + + Args: + error (google.api_core.exceptions.GoogleAPICallError): The error to add the cred info. + """ + if error.code not in [ + HTTPStatus.UNAUTHORIZED, + HTTPStatus.FORBIDDEN, + HTTPStatus.NOT_FOUND, + ]: + return + + cred = self._transport._credentials + + # get_cred_info is only available in google-auth>=2.35.0 + if not hasattr(cred, "get_cred_info"): + return + + # ignore the type check since pypy test fails when get_cred_info + # is not available + cred_info = cred.get_cred_info() # type: ignore + if cred_info and hasattr(error._details, "append"): + error._details.append(json.dumps(cred_info)) + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, MetadataServiceTransport, Callable[..., MetadataServiceTransport] + ] + ] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the metadata service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,MetadataServiceTransport,Callable[..., MetadataServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the MetadataServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast( + client_options_lib.ClientOptions, self._client_options + ) + + universe_domain_opt = getattr(self._client_options, "universe_domain", None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = ( + MetadataServiceClient._read_environment_variables() + ) + self._client_cert_source = MetadataServiceClient._get_client_cert_source( + self._client_options.client_cert_source, self._use_client_cert + ) + self._universe_domain = MetadataServiceClient._get_universe_domain( + universe_domain_opt, self._universe_domain_env + ) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + if CLIENT_LOGGING_SUPPORTED: # pragma: NO COVER + # Setup logging. + client_logging.initialize_logging() + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError( + "client_options.api_key and credentials are mutually exclusive" + ) + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance(transport, MetadataServiceTransport) + if transport_provided: + # transport is a MetadataServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError( + "When providing a transport instance, " + "provide its credentials directly." + ) + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(MetadataServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = ( + self._api_endpoint + or MetadataServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint, + ) + ) + + if not transport_provided: + transport_init: Union[ + Type[MetadataServiceTransport], Callable[..., MetadataServiceTransport] + ] = ( + MetadataServiceClient.get_transport_class(transport) + if isinstance(transport, str) or transport is None + else cast(Callable[..., MetadataServiceTransport], transport) + ) + + if "rest_asyncio" in str(transport_init): + unsupported_params = { + "google.api_core.client_options.ClientOptions.credentials_file": self._client_options.credentials_file, + "google.api_core.client_options.ClientOptions.scopes": self._client_options.scopes, + "google.api_core.client_options.ClientOptions.quota_project_id": self._client_options.quota_project_id, + "google.api_core.client_options.ClientOptions.client_cert_source": self._client_options.client_cert_source, + "google.api_core.client_options.ClientOptions.api_audience": self._client_options.api_audience, + } + provided_unsupported_params = [ + name + for name, value in unsupported_params.items() + if value is not None + ] + if provided_unsupported_params: + raise core_exceptions.AsyncRestUnsupportedParameterError( # type: ignore + f"The following provided parameters are not supported for `transport=rest_asyncio`: {', '.join(provided_unsupported_params)}" + ) + self._transport = transport_init( + credentials=credentials, + host=self._api_endpoint, + client_info=client_info, + ) + return + + import google.auth._default # type: ignore + + if api_key_value and hasattr( + google.auth._default, "get_api_key_credentials" + ): + credentials = google.auth._default.get_api_key_credentials( + api_key_value + ) + + # initialize with the provided callable or the passed in class + self._transport = transport_init( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + if "async" not in str(self._transport): + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.MetadataServiceClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.MetadataService", + "universeDomain": getattr( + self._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._transport._credentials).__module__}.{type(self._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, + "get_cred_info", + lambda: None, + )(), + } + if hasattr(self._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.MetadataService", + "credentialsType": None, + } + ), + ) + + def create_metadata_store( + self, + request: Optional[ + Union[metadata_service.CreateMetadataStoreRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + metadata_store: Optional[gca_metadata_store.MetadataStore] = None, + metadata_store_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Initializes a MetadataStore, including allocation of + resources. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_metadata_store(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.CreateMetadataStoreRequest( + parent="parent_value", + ) + + # Make the request + operation = client.create_metadata_store(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateMetadataStoreRequest, dict]): + The request object. Request message for + [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1.MetadataService.CreateMetadataStore]. + parent (str): + Required. The resource name of the Location where the + MetadataStore should be created. Format: + ``projects/{project}/locations/{location}/`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + metadata_store (google.cloud.aiplatform_v1.types.MetadataStore): + Required. The MetadataStore to + create. + + This corresponds to the ``metadata_store`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + metadata_store_id (str): + The {metadatastore} portion of the resource name with + the format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + If not provided, the MetadataStore's ID will be a UUID + generated by the service. Must be 4-128 characters in + length. Valid characters are ``/[a-z][0-9]-/``. Must be + unique across all MetadataStores in the parent Location. + (Otherwise the request will fail with ALREADY_EXISTS, or + PERMISSION_DENIED if the caller can't view the + preexisting MetadataStore.) + + This corresponds to the ``metadata_store_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.MetadataStore` Instance of a metadata store. Contains a set of metadata that can be + queried. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, metadata_store, metadata_store_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.CreateMetadataStoreRequest): + request = metadata_service.CreateMetadataStoreRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if metadata_store is not None: + request.metadata_store = metadata_store + if metadata_store_id is not None: + request.metadata_store_id = metadata_store_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_metadata_store] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + gca_metadata_store.MetadataStore, + metadata_type=metadata_service.CreateMetadataStoreOperationMetadata, + ) + + # Done; return the response. + return response + + def get_metadata_store( + self, + request: Optional[Union[metadata_service.GetMetadataStoreRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> metadata_store.MetadataStore: + r"""Retrieves a specific MetadataStore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_metadata_store(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetMetadataStoreRequest( + name="name_value", + ) + + # Make the request + response = client.get_metadata_store(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetMetadataStoreRequest, dict]): + The request object. Request message for + [MetadataService.GetMetadataStore][google.cloud.aiplatform.v1.MetadataService.GetMetadataStore]. + name (str): + Required. The resource name of the MetadataStore to + retrieve. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.MetadataStore: + Instance of a metadata store. + Contains a set of metadata that can be + queried. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.GetMetadataStoreRequest): + request = metadata_service.GetMetadataStoreRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_metadata_store] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_metadata_stores( + self, + request: Optional[ + Union[metadata_service.ListMetadataStoresRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListMetadataStoresPager: + r"""Lists MetadataStores for a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_metadata_stores(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListMetadataStoresRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_metadata_stores(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListMetadataStoresRequest, dict]): + The request object. Request message for + [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores]. + parent (str): + Required. The Location whose MetadataStores should be + listed. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.metadata_service.pagers.ListMetadataStoresPager: + Response message for + [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1.MetadataService.ListMetadataStores]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.ListMetadataStoresRequest): + request = metadata_service.ListMetadataStoresRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_metadata_stores] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListMetadataStoresPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def delete_metadata_store( + self, + request: Optional[ + Union[metadata_service.DeleteMetadataStoreRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes a single MetadataStore and all its child + resources (Artifacts, Executions, and Contexts). + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_metadata_store(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteMetadataStoreRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_metadata_store(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteMetadataStoreRequest, dict]): + The request object. Request message for + [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1.MetadataService.DeleteMetadataStore]. + name (str): + Required. The resource name of the MetadataStore to + delete. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.DeleteMetadataStoreRequest): + request = metadata_service.DeleteMetadataStoreRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_metadata_store] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=metadata_service.DeleteMetadataStoreOperationMetadata, + ) + + # Done; return the response. + return response + + def create_artifact( + self, + request: Optional[Union[metadata_service.CreateArtifactRequest, dict]] = None, + *, + parent: Optional[str] = None, + artifact: Optional[gca_artifact.Artifact] = None, + artifact_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_artifact.Artifact: + r"""Creates an Artifact associated with a MetadataStore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_artifact(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.CreateArtifactRequest( + parent="parent_value", + ) + + # Make the request + response = client.create_artifact(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateArtifactRequest, dict]): + The request object. Request message for + [MetadataService.CreateArtifact][google.cloud.aiplatform.v1.MetadataService.CreateArtifact]. + parent (str): + Required. The resource name of the MetadataStore where + the Artifact should be created. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + artifact (google.cloud.aiplatform_v1.types.Artifact): + Required. The Artifact to create. + This corresponds to the ``artifact`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + artifact_id (str): + The {artifact} portion of the resource name with the + format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`` + If not provided, the Artifact's ID will be a UUID + generated by the service. Must be 4-128 characters in + length. Valid characters are ``/[a-z][0-9]-/``. Must be + unique across all Artifacts in the parent MetadataStore. + (Otherwise the request will fail with ALREADY_EXISTS, or + PERMISSION_DENIED if the caller can't view the + preexisting Artifact.) + + This corresponds to the ``artifact_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Artifact: + Instance of a general artifact. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, artifact, artifact_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.CreateArtifactRequest): + request = metadata_service.CreateArtifactRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if artifact is not None: + request.artifact = artifact + if artifact_id is not None: + request.artifact_id = artifact_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_artifact] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def get_artifact( + self, + request: Optional[Union[metadata_service.GetArtifactRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> artifact.Artifact: + r"""Retrieves a specific Artifact. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_artifact(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetArtifactRequest( + name="name_value", + ) + + # Make the request + response = client.get_artifact(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetArtifactRequest, dict]): + The request object. Request message for + [MetadataService.GetArtifact][google.cloud.aiplatform.v1.MetadataService.GetArtifact]. + name (str): + Required. The resource name of the Artifact to retrieve. + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Artifact: + Instance of a general artifact. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.GetArtifactRequest): + request = metadata_service.GetArtifactRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_artifact] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_artifacts( + self, + request: Optional[Union[metadata_service.ListArtifactsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListArtifactsPager: + r"""Lists Artifacts in the MetadataStore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_artifacts(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListArtifactsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_artifacts(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListArtifactsRequest, dict]): + The request object. Request message for + [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]. + parent (str): + Required. The MetadataStore whose Artifacts should be + listed. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.metadata_service.pagers.ListArtifactsPager: + Response message for + [MetadataService.ListArtifacts][google.cloud.aiplatform.v1.MetadataService.ListArtifacts]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.ListArtifactsRequest): + request = metadata_service.ListArtifactsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_artifacts] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListArtifactsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def update_artifact( + self, + request: Optional[Union[metadata_service.UpdateArtifactRequest, dict]] = None, + *, + artifact: Optional[gca_artifact.Artifact] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_artifact.Artifact: + r"""Updates a stored Artifact. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_update_artifact(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.UpdateArtifactRequest( + ) + + # Make the request + response = client.update_artifact(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UpdateArtifactRequest, dict]): + The request object. Request message for + [MetadataService.UpdateArtifact][google.cloud.aiplatform.v1.MetadataService.UpdateArtifact]. + artifact (google.cloud.aiplatform_v1.types.Artifact): + Required. The Artifact containing updates. The + Artifact's + [Artifact.name][google.cloud.aiplatform.v1.Artifact.name] + field is used to identify the Artifact to be updated. + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`` + + This corresponds to the ``artifact`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Optional. A FieldMask indicating + which fields should be updated. + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Artifact: + Instance of a general artifact. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [artifact, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.UpdateArtifactRequest): + request = metadata_service.UpdateArtifactRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if artifact is not None: + request.artifact = artifact + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.update_artifact] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("artifact.name", request.artifact.name),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def delete_artifact( + self, + request: Optional[Union[metadata_service.DeleteArtifactRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes an Artifact. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_artifact(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteArtifactRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_artifact(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteArtifactRequest, dict]): + The request object. Request message for + [MetadataService.DeleteArtifact][google.cloud.aiplatform.v1.MetadataService.DeleteArtifact]. + name (str): + Required. The resource name of the Artifact to delete. + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.DeleteArtifactRequest): + request = metadata_service.DeleteArtifactRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_artifact] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def purge_artifacts( + self, + request: Optional[Union[metadata_service.PurgeArtifactsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Purges Artifacts. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_purge_artifacts(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.PurgeArtifactsRequest( + parent="parent_value", + filter="filter_value", + ) + + # Make the request + operation = client.purge_artifacts(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.PurgeArtifactsRequest, dict]): + The request object. Request message for + [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts]. + parent (str): + Required. The metadata store to purge Artifacts from. + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.PurgeArtifactsResponse` Response message for + [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1.MetadataService.PurgeArtifacts]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.PurgeArtifactsRequest): + request = metadata_service.PurgeArtifactsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.purge_artifacts] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + metadata_service.PurgeArtifactsResponse, + metadata_type=metadata_service.PurgeArtifactsMetadata, + ) + + # Done; return the response. + return response + + def create_context( + self, + request: Optional[Union[metadata_service.CreateContextRequest, dict]] = None, + *, + parent: Optional[str] = None, + context: Optional[gca_context.Context] = None, + context_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_context.Context: + r"""Creates a Context associated with a MetadataStore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_context(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.CreateContextRequest( + parent="parent_value", + ) + + # Make the request + response = client.create_context(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateContextRequest, dict]): + The request object. Request message for + [MetadataService.CreateContext][google.cloud.aiplatform.v1.MetadataService.CreateContext]. + parent (str): + Required. The resource name of the MetadataStore where + the Context should be created. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + context (google.cloud.aiplatform_v1.types.Context): + Required. The Context to create. + This corresponds to the ``context`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + context_id (str): + The {context} portion of the resource name with the + format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}``. + If not provided, the Context's ID will be a UUID + generated by the service. Must be 4-128 characters in + length. Valid characters are ``/[a-z][0-9]-/``. Must be + unique across all Contexts in the parent MetadataStore. + (Otherwise the request will fail with ALREADY_EXISTS, or + PERMISSION_DENIED if the caller can't view the + preexisting Context.) + + This corresponds to the ``context_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Context: + Instance of a general context. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, context, context_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.CreateContextRequest): + request = metadata_service.CreateContextRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if context is not None: + request.context = context + if context_id is not None: + request.context_id = context_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_context] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def get_context( + self, + request: Optional[Union[metadata_service.GetContextRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> context.Context: + r"""Retrieves a specific Context. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_context(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetContextRequest( + name="name_value", + ) + + # Make the request + response = client.get_context(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetContextRequest, dict]): + The request object. Request message for + [MetadataService.GetContext][google.cloud.aiplatform.v1.MetadataService.GetContext]. + name (str): + Required. The resource name of the Context to retrieve. + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Context: + Instance of a general context. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.GetContextRequest): + request = metadata_service.GetContextRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_context] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_contexts( + self, + request: Optional[Union[metadata_service.ListContextsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListContextsPager: + r"""Lists Contexts on the MetadataStore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_contexts(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListContextsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_contexts(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListContextsRequest, dict]): + The request object. Request message for + [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts] + parent (str): + Required. The MetadataStore whose Contexts should be + listed. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.metadata_service.pagers.ListContextsPager: + Response message for + [MetadataService.ListContexts][google.cloud.aiplatform.v1.MetadataService.ListContexts]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.ListContextsRequest): + request = metadata_service.ListContextsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_contexts] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListContextsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def update_context( + self, + request: Optional[Union[metadata_service.UpdateContextRequest, dict]] = None, + *, + context: Optional[gca_context.Context] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_context.Context: + r"""Updates a stored Context. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_update_context(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.UpdateContextRequest( + ) + + # Make the request + response = client.update_context(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UpdateContextRequest, dict]): + The request object. Request message for + [MetadataService.UpdateContext][google.cloud.aiplatform.v1.MetadataService.UpdateContext]. + context (google.cloud.aiplatform_v1.types.Context): + Required. The Context containing updates. The Context's + [Context.name][google.cloud.aiplatform.v1.Context.name] + field is used to identify the Context to be updated. + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`` + + This corresponds to the ``context`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Optional. A FieldMask indicating + which fields should be updated. + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Context: + Instance of a general context. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [context, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.UpdateContextRequest): + request = metadata_service.UpdateContextRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if context is not None: + request.context = context + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.update_context] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("context.name", request.context.name),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def delete_context( + self, + request: Optional[Union[metadata_service.DeleteContextRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes a stored Context. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_context(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteContextRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_context(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteContextRequest, dict]): + The request object. Request message for + [MetadataService.DeleteContext][google.cloud.aiplatform.v1.MetadataService.DeleteContext]. + name (str): + Required. The resource name of the Context to delete. + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.DeleteContextRequest): + request = metadata_service.DeleteContextRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_context] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def purge_contexts( + self, + request: Optional[Union[metadata_service.PurgeContextsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Purges Contexts. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_purge_contexts(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.PurgeContextsRequest( + parent="parent_value", + filter="filter_value", + ) + + # Make the request + operation = client.purge_contexts(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.PurgeContextsRequest, dict]): + The request object. Request message for + [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts]. + parent (str): + Required. The metadata store to purge Contexts from. + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.PurgeContextsResponse` Response message for + [MetadataService.PurgeContexts][google.cloud.aiplatform.v1.MetadataService.PurgeContexts]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.PurgeContextsRequest): + request = metadata_service.PurgeContextsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.purge_contexts] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + metadata_service.PurgeContextsResponse, + metadata_type=metadata_service.PurgeContextsMetadata, + ) + + # Done; return the response. + return response + + def add_context_artifacts_and_executions( + self, + request: Optional[ + Union[metadata_service.AddContextArtifactsAndExecutionsRequest, dict] + ] = None, + *, + context: Optional[str] = None, + artifacts: Optional[MutableSequence[str]] = None, + executions: Optional[MutableSequence[str]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> metadata_service.AddContextArtifactsAndExecutionsResponse: + r"""Adds a set of Artifacts and Executions to a Context. + If any of the Artifacts or Executions have already been + added to a Context, they are simply skipped. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_add_context_artifacts_and_executions(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.AddContextArtifactsAndExecutionsRequest( + context="context_value", + ) + + # Make the request + response = client.add_context_artifacts_and_executions(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.AddContextArtifactsAndExecutionsRequest, dict]): + The request object. Request message for + [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions]. + context (str): + Required. The resource name of the Context that the + Artifacts and Executions belong to. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`` + + This corresponds to the ``context`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + artifacts (MutableSequence[str]): + The resource names of the Artifacts to attribute to the + Context. + + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`` + + This corresponds to the ``artifacts`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + executions (MutableSequence[str]): + The resource names of the Executions to associate with + the Context. + + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`` + + This corresponds to the ``executions`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.AddContextArtifactsAndExecutionsResponse: + Response message for + [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1.MetadataService.AddContextArtifactsAndExecutions]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [context, artifacts, executions] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, metadata_service.AddContextArtifactsAndExecutionsRequest + ): + request = metadata_service.AddContextArtifactsAndExecutionsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if context is not None: + request.context = context + if artifacts is not None: + request.artifacts = artifacts + if executions is not None: + request.executions = executions + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.add_context_artifacts_and_executions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("context", request.context),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def add_context_children( + self, + request: Optional[ + Union[metadata_service.AddContextChildrenRequest, dict] + ] = None, + *, + context: Optional[str] = None, + child_contexts: Optional[MutableSequence[str]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> metadata_service.AddContextChildrenResponse: + r"""Adds a set of Contexts as children to a parent Context. If any + of the child Contexts have already been added to the parent + Context, they are simply skipped. If this call would create a + cycle or cause any Context to have more than 10 parents, the + request will fail with an INVALID_ARGUMENT error. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_add_context_children(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.AddContextChildrenRequest( + context="context_value", + ) + + # Make the request + response = client.add_context_children(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.AddContextChildrenRequest, dict]): + The request object. Request message for + [MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren]. + context (str): + Required. The resource name of the parent Context. + + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`` + + This corresponds to the ``context`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + child_contexts (MutableSequence[str]): + The resource names of the child + Contexts. + + This corresponds to the ``child_contexts`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.AddContextChildrenResponse: + Response message for + [MetadataService.AddContextChildren][google.cloud.aiplatform.v1.MetadataService.AddContextChildren]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [context, child_contexts] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.AddContextChildrenRequest): + request = metadata_service.AddContextChildrenRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if context is not None: + request.context = context + if child_contexts is not None: + request.child_contexts = child_contexts + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.add_context_children] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("context", request.context),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def remove_context_children( + self, + request: Optional[ + Union[metadata_service.RemoveContextChildrenRequest, dict] + ] = None, + *, + context: Optional[str] = None, + child_contexts: Optional[MutableSequence[str]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> metadata_service.RemoveContextChildrenResponse: + r"""Remove a set of children contexts from a parent + Context. If any of the child Contexts were NOT added to + the parent Context, they are simply skipped. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_remove_context_children(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.RemoveContextChildrenRequest( + context="context_value", + ) + + # Make the request + response = client.remove_context_children(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.RemoveContextChildrenRequest, dict]): + The request object. Request message for + [MetadataService.DeleteContextChildrenRequest][]. + context (str): + Required. The resource name of the parent Context. + + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`` + + This corresponds to the ``context`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + child_contexts (MutableSequence[str]): + The resource names of the child + Contexts. + + This corresponds to the ``child_contexts`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.RemoveContextChildrenResponse: + Response message for + [MetadataService.RemoveContextChildren][google.cloud.aiplatform.v1.MetadataService.RemoveContextChildren]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [context, child_contexts] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.RemoveContextChildrenRequest): + request = metadata_service.RemoveContextChildrenRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if context is not None: + request.context = context + if child_contexts is not None: + request.child_contexts = child_contexts + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.remove_context_children] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("context", request.context),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def query_context_lineage_subgraph( + self, + request: Optional[ + Union[metadata_service.QueryContextLineageSubgraphRequest, dict] + ] = None, + *, + context: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> lineage_subgraph.LineageSubgraph: + r"""Retrieves Artifacts and Executions within the + specified Context, connected by Event edges and returned + as a LineageSubgraph. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_query_context_lineage_subgraph(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.QueryContextLineageSubgraphRequest( + context="context_value", + ) + + # Make the request + response = client.query_context_lineage_subgraph(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.QueryContextLineageSubgraphRequest, dict]): + The request object. Request message for + [MetadataService.QueryContextLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryContextLineageSubgraph]. + context (str): + Required. The resource name of the Context whose + Artifacts and Executions should be retrieved as a + LineageSubgraph. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}`` + + The request may error with FAILED_PRECONDITION if the + number of Artifacts, the number of Executions, or the + number of Events that would be returned for the Context + exceeds 1000. + + This corresponds to the ``context`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.LineageSubgraph: + A subgraph of the overall lineage + graph. Event edges connect Artifact and + Execution nodes. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [context] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.QueryContextLineageSubgraphRequest): + request = metadata_service.QueryContextLineageSubgraphRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if context is not None: + request.context = context + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.query_context_lineage_subgraph + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("context", request.context),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def create_execution( + self, + request: Optional[Union[metadata_service.CreateExecutionRequest, dict]] = None, + *, + parent: Optional[str] = None, + execution: Optional[gca_execution.Execution] = None, + execution_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_execution.Execution: + r"""Creates an Execution associated with a MetadataStore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_execution(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.CreateExecutionRequest( + parent="parent_value", + ) + + # Make the request + response = client.create_execution(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateExecutionRequest, dict]): + The request object. Request message for + [MetadataService.CreateExecution][google.cloud.aiplatform.v1.MetadataService.CreateExecution]. + parent (str): + Required. The resource name of the MetadataStore where + the Execution should be created. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + execution (google.cloud.aiplatform_v1.types.Execution): + Required. The Execution to create. + This corresponds to the ``execution`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + execution_id (str): + The {execution} portion of the resource name with the + format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`` + If not provided, the Execution's ID will be a UUID + generated by the service. Must be 4-128 characters in + length. Valid characters are ``/[a-z][0-9]-/``. Must be + unique across all Executions in the parent + MetadataStore. (Otherwise the request will fail with + ALREADY_EXISTS, or PERMISSION_DENIED if the caller can't + view the preexisting Execution.) + + This corresponds to the ``execution_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Execution: + Instance of a general execution. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, execution, execution_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.CreateExecutionRequest): + request = metadata_service.CreateExecutionRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if execution is not None: + request.execution = execution + if execution_id is not None: + request.execution_id = execution_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_execution] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def get_execution( + self, + request: Optional[Union[metadata_service.GetExecutionRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> execution.Execution: + r"""Retrieves a specific Execution. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_execution(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetExecutionRequest( + name="name_value", + ) + + # Make the request + response = client.get_execution(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetExecutionRequest, dict]): + The request object. Request message for + [MetadataService.GetExecution][google.cloud.aiplatform.v1.MetadataService.GetExecution]. + name (str): + Required. The resource name of the Execution to + retrieve. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Execution: + Instance of a general execution. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.GetExecutionRequest): + request = metadata_service.GetExecutionRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_execution] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_executions( + self, + request: Optional[Union[metadata_service.ListExecutionsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListExecutionsPager: + r"""Lists Executions in the MetadataStore. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_executions(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListExecutionsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_executions(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListExecutionsRequest, dict]): + The request object. Request message for + [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]. + parent (str): + Required. The MetadataStore whose Executions should be + listed. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.metadata_service.pagers.ListExecutionsPager: + Response message for + [MetadataService.ListExecutions][google.cloud.aiplatform.v1.MetadataService.ListExecutions]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.ListExecutionsRequest): + request = metadata_service.ListExecutionsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_executions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListExecutionsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def update_execution( + self, + request: Optional[Union[metadata_service.UpdateExecutionRequest, dict]] = None, + *, + execution: Optional[gca_execution.Execution] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_execution.Execution: + r"""Updates a stored Execution. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_update_execution(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.UpdateExecutionRequest( + ) + + # Make the request + response = client.update_execution(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UpdateExecutionRequest, dict]): + The request object. Request message for + [MetadataService.UpdateExecution][google.cloud.aiplatform.v1.MetadataService.UpdateExecution]. + execution (google.cloud.aiplatform_v1.types.Execution): + Required. The Execution containing updates. The + Execution's + [Execution.name][google.cloud.aiplatform.v1.Execution.name] + field is used to identify the Execution to be updated. + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`` + + This corresponds to the ``execution`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Optional. A FieldMask indicating + which fields should be updated. + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Execution: + Instance of a general execution. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [execution, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.UpdateExecutionRequest): + request = metadata_service.UpdateExecutionRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if execution is not None: + request.execution = execution + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.update_execution] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("execution.name", request.execution.name),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def delete_execution( + self, + request: Optional[Union[metadata_service.DeleteExecutionRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes an Execution. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_execution(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteExecutionRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_execution(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteExecutionRequest, dict]): + The request object. Request message for + [MetadataService.DeleteExecution][google.cloud.aiplatform.v1.MetadataService.DeleteExecution]. + name (str): + Required. The resource name of the Execution to delete. + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.DeleteExecutionRequest): + request = metadata_service.DeleteExecutionRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_execution] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def purge_executions( + self, + request: Optional[Union[metadata_service.PurgeExecutionsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Purges Executions. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_purge_executions(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.PurgeExecutionsRequest( + parent="parent_value", + filter="filter_value", + ) + + # Make the request + operation = client.purge_executions(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.PurgeExecutionsRequest, dict]): + The request object. Request message for + [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions]. + parent (str): + Required. The metadata store to purge Executions from. + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.PurgeExecutionsResponse` Response message for + [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1.MetadataService.PurgeExecutions]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.PurgeExecutionsRequest): + request = metadata_service.PurgeExecutionsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.purge_executions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + metadata_service.PurgeExecutionsResponse, + metadata_type=metadata_service.PurgeExecutionsMetadata, + ) + + # Done; return the response. + return response + + def add_execution_events( + self, + request: Optional[ + Union[metadata_service.AddExecutionEventsRequest, dict] + ] = None, + *, + execution: Optional[str] = None, + events: Optional[MutableSequence[event.Event]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> metadata_service.AddExecutionEventsResponse: + r"""Adds Events to the specified Execution. An Event + indicates whether an Artifact was used as an input or + output for an Execution. If an Event already exists + between the Execution and the Artifact, the Event is + skipped. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_add_execution_events(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.AddExecutionEventsRequest( + execution="execution_value", + ) + + # Make the request + response = client.add_execution_events(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.AddExecutionEventsRequest, dict]): + The request object. Request message for + [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents]. + execution (str): + Required. The resource name of the Execution that the + Events connect Artifacts with. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`` + + This corresponds to the ``execution`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + events (MutableSequence[google.cloud.aiplatform_v1.types.Event]): + The Events to create and add. + This corresponds to the ``events`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.AddExecutionEventsResponse: + Response message for + [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1.MetadataService.AddExecutionEvents]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [execution, events] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.AddExecutionEventsRequest): + request = metadata_service.AddExecutionEventsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if execution is not None: + request.execution = execution + if events is not None: + request.events = events + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.add_execution_events] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("execution", request.execution),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def query_execution_inputs_and_outputs( + self, + request: Optional[ + Union[metadata_service.QueryExecutionInputsAndOutputsRequest, dict] + ] = None, + *, + execution: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> lineage_subgraph.LineageSubgraph: + r"""Obtains the set of input and output Artifacts for + this Execution, in the form of LineageSubgraph that also + contains the Execution and connecting Events. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_query_execution_inputs_and_outputs(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.QueryExecutionInputsAndOutputsRequest( + execution="execution_value", + ) + + # Make the request + response = client.query_execution_inputs_and_outputs(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.QueryExecutionInputsAndOutputsRequest, dict]): + The request object. Request message for + [MetadataService.QueryExecutionInputsAndOutputs][google.cloud.aiplatform.v1.MetadataService.QueryExecutionInputsAndOutputs]. + execution (str): + Required. The resource name of the Execution whose input + and output Artifacts should be retrieved as a + LineageSubgraph. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}`` + + This corresponds to the ``execution`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.LineageSubgraph: + A subgraph of the overall lineage + graph. Event edges connect Artifact and + Execution nodes. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [execution] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, metadata_service.QueryExecutionInputsAndOutputsRequest + ): + request = metadata_service.QueryExecutionInputsAndOutputsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if execution is not None: + request.execution = execution + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.query_execution_inputs_and_outputs + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("execution", request.execution),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def create_metadata_schema( + self, + request: Optional[ + Union[metadata_service.CreateMetadataSchemaRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + metadata_schema: Optional[gca_metadata_schema.MetadataSchema] = None, + metadata_schema_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_metadata_schema.MetadataSchema: + r"""Creates a MetadataSchema. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_metadata_schema(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + metadata_schema = aiplatform_v1.MetadataSchema() + metadata_schema.schema = "schema_value" + + request = aiplatform_v1.CreateMetadataSchemaRequest( + parent="parent_value", + metadata_schema=metadata_schema, + ) + + # Make the request + response = client.create_metadata_schema(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateMetadataSchemaRequest, dict]): + The request object. Request message for + [MetadataService.CreateMetadataSchema][google.cloud.aiplatform.v1.MetadataService.CreateMetadataSchema]. + parent (str): + Required. The resource name of the MetadataStore where + the MetadataSchema should be created. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + metadata_schema (google.cloud.aiplatform_v1.types.MetadataSchema): + Required. The MetadataSchema to + create. + + This corresponds to the ``metadata_schema`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + metadata_schema_id (str): + The {metadata_schema} portion of the resource name with + the format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/metadataSchemas/{metadataschema}`` + If not provided, the MetadataStore's ID will be a UUID + generated by the service. Must be 4-128 characters in + length. Valid characters are ``/[a-z][0-9]-/``. Must be + unique across all MetadataSchemas in the parent + Location. (Otherwise the request will fail with + ALREADY_EXISTS, or PERMISSION_DENIED if the caller can't + view the preexisting MetadataSchema.) + + This corresponds to the ``metadata_schema_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.MetadataSchema: + Instance of a general MetadataSchema. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, metadata_schema, metadata_schema_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.CreateMetadataSchemaRequest): + request = metadata_service.CreateMetadataSchemaRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if metadata_schema is not None: + request.metadata_schema = metadata_schema + if metadata_schema_id is not None: + request.metadata_schema_id = metadata_schema_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_metadata_schema] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def get_metadata_schema( + self, + request: Optional[ + Union[metadata_service.GetMetadataSchemaRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> metadata_schema.MetadataSchema: + r"""Retrieves a specific MetadataSchema. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_metadata_schema(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetMetadataSchemaRequest( + name="name_value", + ) + + # Make the request + response = client.get_metadata_schema(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetMetadataSchemaRequest, dict]): + The request object. Request message for + [MetadataService.GetMetadataSchema][google.cloud.aiplatform.v1.MetadataService.GetMetadataSchema]. + name (str): + Required. The resource name of the MetadataSchema to + retrieve. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/metadataSchemas/{metadataschema}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.MetadataSchema: + Instance of a general MetadataSchema. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.GetMetadataSchemaRequest): + request = metadata_service.GetMetadataSchemaRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_metadata_schema] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_metadata_schemas( + self, + request: Optional[ + Union[metadata_service.ListMetadataSchemasRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListMetadataSchemasPager: + r"""Lists MetadataSchemas. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_metadata_schemas(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListMetadataSchemasRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_metadata_schemas(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListMetadataSchemasRequest, dict]): + The request object. Request message for + [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas]. + parent (str): + Required. The MetadataStore whose MetadataSchemas should + be listed. Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.metadata_service.pagers.ListMetadataSchemasPager: + Response message for + [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1.MetadataService.ListMetadataSchemas]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, metadata_service.ListMetadataSchemasRequest): + request = metadata_service.ListMetadataSchemasRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_metadata_schemas] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListMetadataSchemasPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def query_artifact_lineage_subgraph( + self, + request: Optional[ + Union[metadata_service.QueryArtifactLineageSubgraphRequest, dict] + ] = None, + *, + artifact: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> lineage_subgraph.LineageSubgraph: + r"""Retrieves lineage of an Artifact represented through + Artifacts and Executions connected by Event edges and + returned as a LineageSubgraph. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_query_artifact_lineage_subgraph(): + # Create a client + client = aiplatform_v1.MetadataServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.QueryArtifactLineageSubgraphRequest( + artifact="artifact_value", + ) + + # Make the request + response = client.query_artifact_lineage_subgraph(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.QueryArtifactLineageSubgraphRequest, dict]): + The request object. Request message for + [MetadataService.QueryArtifactLineageSubgraph][google.cloud.aiplatform.v1.MetadataService.QueryArtifactLineageSubgraph]. + artifact (str): + Required. The resource name of the Artifact whose + Lineage needs to be retrieved as a LineageSubgraph. + Format: + ``projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`` + + The request may error with FAILED_PRECONDITION if the + number of Artifacts, the number of Executions, or the + number of Events that would be returned for the Context + exceeds 1000. + + This corresponds to the ``artifact`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.LineageSubgraph: + A subgraph of the overall lineage + graph. Event edges connect Artifact and + Execution nodes. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [artifact] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, metadata_service.QueryArtifactLineageSubgraphRequest + ): + request = metadata_service.QueryArtifactLineageSubgraphRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if artifact is not None: + request.artifact = artifact + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.query_artifact_lineage_subgraph + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("artifact", request.artifact),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def __enter__(self) -> "MetadataServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + +__all__ = ("MetadataServiceClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/metadata_service/pagers.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/metadata_service/pagers.py new file mode 100644 index 0000000000000000000000000000000000000000..ea4f70ac89b42e4ec180a029f237e05150eb89ab --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/metadata_service/pagers.py @@ -0,0 +1,827 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import retry_async as retries_async +from typing import ( + Any, + AsyncIterator, + Awaitable, + Callable, + Sequence, + Tuple, + Optional, + Iterator, + Union, +) + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] + OptionalAsyncRetry = Union[ + retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None + ] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.types import artifact +from google.cloud.aiplatform_v1.types import context +from google.cloud.aiplatform_v1.types import execution +from google.cloud.aiplatform_v1.types import metadata_schema +from google.cloud.aiplatform_v1.types import metadata_service +from google.cloud.aiplatform_v1.types import metadata_store + + +class ListMetadataStoresPager: + """A pager for iterating through ``list_metadata_stores`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListMetadataStoresResponse` object, and + provides an ``__iter__`` method to iterate through its + ``metadata_stores`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListMetadataStores`` requests and continue to iterate + through the ``metadata_stores`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListMetadataStoresResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., metadata_service.ListMetadataStoresResponse], + request: metadata_service.ListMetadataStoresRequest, + response: metadata_service.ListMetadataStoresResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListMetadataStoresRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListMetadataStoresResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = metadata_service.ListMetadataStoresRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[metadata_service.ListMetadataStoresResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[metadata_store.MetadataStore]: + for page in self.pages: + yield from page.metadata_stores + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListMetadataStoresAsyncPager: + """A pager for iterating through ``list_metadata_stores`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListMetadataStoresResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``metadata_stores`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListMetadataStores`` requests and continue to iterate + through the ``metadata_stores`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListMetadataStoresResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[metadata_service.ListMetadataStoresResponse]], + request: metadata_service.ListMetadataStoresRequest, + response: metadata_service.ListMetadataStoresResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListMetadataStoresRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListMetadataStoresResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = metadata_service.ListMetadataStoresRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[metadata_service.ListMetadataStoresResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[metadata_store.MetadataStore]: + async def async_generator(): + async for page in self.pages: + for response in page.metadata_stores: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListArtifactsPager: + """A pager for iterating through ``list_artifacts`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListArtifactsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``artifacts`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListArtifacts`` requests and continue to iterate + through the ``artifacts`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListArtifactsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., metadata_service.ListArtifactsResponse], + request: metadata_service.ListArtifactsRequest, + response: metadata_service.ListArtifactsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListArtifactsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListArtifactsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = metadata_service.ListArtifactsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[metadata_service.ListArtifactsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[artifact.Artifact]: + for page in self.pages: + yield from page.artifacts + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListArtifactsAsyncPager: + """A pager for iterating through ``list_artifacts`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListArtifactsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``artifacts`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListArtifacts`` requests and continue to iterate + through the ``artifacts`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListArtifactsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[metadata_service.ListArtifactsResponse]], + request: metadata_service.ListArtifactsRequest, + response: metadata_service.ListArtifactsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListArtifactsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListArtifactsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = metadata_service.ListArtifactsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[metadata_service.ListArtifactsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[artifact.Artifact]: + async def async_generator(): + async for page in self.pages: + for response in page.artifacts: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListContextsPager: + """A pager for iterating through ``list_contexts`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListContextsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``contexts`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListContexts`` requests and continue to iterate + through the ``contexts`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListContextsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., metadata_service.ListContextsResponse], + request: metadata_service.ListContextsRequest, + response: metadata_service.ListContextsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListContextsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListContextsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = metadata_service.ListContextsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[metadata_service.ListContextsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[context.Context]: + for page in self.pages: + yield from page.contexts + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListContextsAsyncPager: + """A pager for iterating through ``list_contexts`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListContextsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``contexts`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListContexts`` requests and continue to iterate + through the ``contexts`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListContextsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[metadata_service.ListContextsResponse]], + request: metadata_service.ListContextsRequest, + response: metadata_service.ListContextsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListContextsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListContextsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = metadata_service.ListContextsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[metadata_service.ListContextsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[context.Context]: + async def async_generator(): + async for page in self.pages: + for response in page.contexts: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListExecutionsPager: + """A pager for iterating through ``list_executions`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListExecutionsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``executions`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListExecutions`` requests and continue to iterate + through the ``executions`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListExecutionsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., metadata_service.ListExecutionsResponse], + request: metadata_service.ListExecutionsRequest, + response: metadata_service.ListExecutionsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListExecutionsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListExecutionsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = metadata_service.ListExecutionsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[metadata_service.ListExecutionsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[execution.Execution]: + for page in self.pages: + yield from page.executions + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListExecutionsAsyncPager: + """A pager for iterating through ``list_executions`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListExecutionsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``executions`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListExecutions`` requests and continue to iterate + through the ``executions`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListExecutionsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[metadata_service.ListExecutionsResponse]], + request: metadata_service.ListExecutionsRequest, + response: metadata_service.ListExecutionsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListExecutionsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListExecutionsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = metadata_service.ListExecutionsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[metadata_service.ListExecutionsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[execution.Execution]: + async def async_generator(): + async for page in self.pages: + for response in page.executions: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListMetadataSchemasPager: + """A pager for iterating through ``list_metadata_schemas`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListMetadataSchemasResponse` object, and + provides an ``__iter__`` method to iterate through its + ``metadata_schemas`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListMetadataSchemas`` requests and continue to iterate + through the ``metadata_schemas`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListMetadataSchemasResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., metadata_service.ListMetadataSchemasResponse], + request: metadata_service.ListMetadataSchemasRequest, + response: metadata_service.ListMetadataSchemasResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListMetadataSchemasRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListMetadataSchemasResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = metadata_service.ListMetadataSchemasRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[metadata_service.ListMetadataSchemasResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[metadata_schema.MetadataSchema]: + for page in self.pages: + yield from page.metadata_schemas + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListMetadataSchemasAsyncPager: + """A pager for iterating through ``list_metadata_schemas`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListMetadataSchemasResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``metadata_schemas`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListMetadataSchemas`` requests and continue to iterate + through the ``metadata_schemas`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListMetadataSchemasResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[metadata_service.ListMetadataSchemasResponse]], + request: metadata_service.ListMetadataSchemasRequest, + response: metadata_service.ListMetadataSchemasResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListMetadataSchemasRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListMetadataSchemasResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = metadata_service.ListMetadataSchemasRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages( + self, + ) -> AsyncIterator[metadata_service.ListMetadataSchemasResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[metadata_schema.MetadataSchema]: + async def async_generator(): + async for page in self.pages: + for response in page.metadata_schemas: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/migration_service/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/migration_service/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..554bbdcfafd2c75f7d2d7d4df3750ec619b29e19 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/migration_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import MigrationServiceClient +from .async_client import MigrationServiceAsyncClient + +__all__ = ( + "MigrationServiceClient", + "MigrationServiceAsyncClient", +) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/migration_service/async_client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/migration_service/async_client.py new file mode 100644 index 0000000000000000000000000000000000000000..efddaa0c39ef58c31d6e18b10e49e66f619662ad --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/migration_service/async_client.py @@ -0,0 +1,1320 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging as std_logging +from collections import OrderedDict +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, +) + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.services.migration_service import pagers +from google.cloud.aiplatform_v1.types import migratable_resource +from google.cloud.aiplatform_v1.types import migration_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +from .transports.base import MigrationServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import MigrationServiceGrpcAsyncIOTransport +from .client import MigrationServiceClient + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class MigrationServiceAsyncClient: + """A service that migrates resources from automl.googleapis.com, + datalabeling.googleapis.com and ml.googleapis.com to Vertex AI. + """ + + _client: MigrationServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = MigrationServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = MigrationServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = MigrationServiceClient._DEFAULT_ENDPOINT_TEMPLATE + _DEFAULT_UNIVERSE = MigrationServiceClient._DEFAULT_UNIVERSE + + annotated_dataset_path = staticmethod(MigrationServiceClient.annotated_dataset_path) + parse_annotated_dataset_path = staticmethod( + MigrationServiceClient.parse_annotated_dataset_path + ) + dataset_path = staticmethod(MigrationServiceClient.dataset_path) + parse_dataset_path = staticmethod(MigrationServiceClient.parse_dataset_path) + dataset_path = staticmethod(MigrationServiceClient.dataset_path) + parse_dataset_path = staticmethod(MigrationServiceClient.parse_dataset_path) + dataset_path = staticmethod(MigrationServiceClient.dataset_path) + parse_dataset_path = staticmethod(MigrationServiceClient.parse_dataset_path) + model_path = staticmethod(MigrationServiceClient.model_path) + parse_model_path = staticmethod(MigrationServiceClient.parse_model_path) + model_path = staticmethod(MigrationServiceClient.model_path) + parse_model_path = staticmethod(MigrationServiceClient.parse_model_path) + version_path = staticmethod(MigrationServiceClient.version_path) + parse_version_path = staticmethod(MigrationServiceClient.parse_version_path) + common_billing_account_path = staticmethod( + MigrationServiceClient.common_billing_account_path + ) + parse_common_billing_account_path = staticmethod( + MigrationServiceClient.parse_common_billing_account_path + ) + common_folder_path = staticmethod(MigrationServiceClient.common_folder_path) + parse_common_folder_path = staticmethod( + MigrationServiceClient.parse_common_folder_path + ) + common_organization_path = staticmethod( + MigrationServiceClient.common_organization_path + ) + parse_common_organization_path = staticmethod( + MigrationServiceClient.parse_common_organization_path + ) + common_project_path = staticmethod(MigrationServiceClient.common_project_path) + parse_common_project_path = staticmethod( + MigrationServiceClient.parse_common_project_path + ) + common_location_path = staticmethod(MigrationServiceClient.common_location_path) + parse_common_location_path = staticmethod( + MigrationServiceClient.parse_common_location_path + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + MigrationServiceAsyncClient: The constructed client. + """ + sa_info_func = ( + MigrationServiceClient.from_service_account_info.__func__ # type: ignore + ) + return sa_info_func(MigrationServiceAsyncClient, info, *args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + MigrationServiceAsyncClient: The constructed client. + """ + sa_file_func = ( + MigrationServiceClient.from_service_account_file.__func__ # type: ignore + ) + return sa_file_func(MigrationServiceAsyncClient, filename, *args, **kwargs) + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[ClientOptions] = None + ): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return MigrationServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> MigrationServiceTransport: + """Returns the transport used by the client instance. + + Returns: + MigrationServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = MigrationServiceClient.get_transport_class + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, MigrationServiceTransport, Callable[..., MigrationServiceTransport] + ] + ] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the migration service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,MigrationServiceTransport,Callable[..., MigrationServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport to use. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the MigrationServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = MigrationServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.MigrationServiceAsyncClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.MigrationService", + "universeDomain": getattr( + self._client._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._client._transport._credentials).__module__}.{type(self._client._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, "get_cred_info", lambda: None + )(), + } + if hasattr(self._client._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.MigrationService", + "credentialsType": None, + } + ), + ) + + async def search_migratable_resources( + self, + request: Optional[ + Union[migration_service.SearchMigratableResourcesRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.SearchMigratableResourcesAsyncPager: + r"""Searches all of the resources in + automl.googleapis.com, datalabeling.googleapis.com and + ml.googleapis.com that can be migrated to Vertex AI's + given location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_search_migratable_resources(): + # Create a client + client = aiplatform_v1.MigrationServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.SearchMigratableResourcesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.search_migratable_resources(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.SearchMigratableResourcesRequest, dict]]): + The request object. Request message for + [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources]. + parent (:class:`str`): + Required. The location that the migratable resources + should be searched from. It's the Vertex AI location + that the resources can be migrated to, not the + resources' original location. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.migration_service.pagers.SearchMigratableResourcesAsyncPager: + Response message for + [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, migration_service.SearchMigratableResourcesRequest): + request = migration_service.SearchMigratableResourcesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.search_migratable_resources + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.SearchMigratableResourcesAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def batch_migrate_resources( + self, + request: Optional[ + Union[migration_service.BatchMigrateResourcesRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + migrate_resource_requests: Optional[ + MutableSequence[migration_service.MigrateResourceRequest] + ] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Batch migrates resources from ml.googleapis.com, + automl.googleapis.com, and datalabeling.googleapis.com + to Vertex AI. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_batch_migrate_resources(): + # Create a client + client = aiplatform_v1.MigrationServiceAsyncClient() + + # Initialize request argument(s) + migrate_resource_requests = aiplatform_v1.MigrateResourceRequest() + migrate_resource_requests.migrate_ml_engine_model_version_config.endpoint = "endpoint_value" + migrate_resource_requests.migrate_ml_engine_model_version_config.model_version = "model_version_value" + migrate_resource_requests.migrate_ml_engine_model_version_config.model_display_name = "model_display_name_value" + + request = aiplatform_v1.BatchMigrateResourcesRequest( + parent="parent_value", + migrate_resource_requests=migrate_resource_requests, + ) + + # Make the request + operation = client.batch_migrate_resources(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.BatchMigrateResourcesRequest, dict]]): + The request object. Request message for + [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources]. + parent (:class:`str`): + Required. The location of the migrated resource will + live in. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + migrate_resource_requests (:class:`MutableSequence[google.cloud.aiplatform_v1.types.MigrateResourceRequest]`): + Required. The request messages + specifying the resources to migrate. + They must be in the same location as the + destination. Up to 50 resources can be + migrated in one batch. + + This corresponds to the ``migrate_resource_requests`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.BatchMigrateResourcesResponse` Response message for + [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, migrate_resource_requests] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, migration_service.BatchMigrateResourcesRequest): + request = migration_service.BatchMigrateResourcesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if migrate_resource_requests: + request.migrate_resource_requests.extend(migrate_resource_requests) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.batch_migrate_resources + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + migration_service.BatchMigrateResourcesResponse, + metadata_type=migration_service.BatchMigrateResourcesOperationMetadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[ + self._client._transport.test_iam_permissions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self) -> "MigrationServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +__all__ = ("MigrationServiceAsyncClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/migration_service/client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/migration_service/client.py new file mode 100644 index 0000000000000000000000000000000000000000..074244583d42680685b65c4e8f1cb9e07cc4bb3f --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/migration_service/client.py @@ -0,0 +1,1939 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from http import HTTPStatus +import json +import logging as std_logging +import os +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, + cast, +) +import warnings + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + +from google.cloud.aiplatform_v1.services.migration_service import pagers +from google.cloud.aiplatform_v1.types import migratable_resource +from google.cloud.aiplatform_v1.types import migration_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +from .transports.base import MigrationServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import MigrationServiceGrpcTransport +from .transports.grpc_asyncio import MigrationServiceGrpcAsyncIOTransport +from .transports.rest import MigrationServiceRestTransport + +try: + from .transports.rest_asyncio import AsyncMigrationServiceRestTransport + + HAS_ASYNC_REST_DEPENDENCIES = True +except ImportError as e: # pragma: NO COVER + HAS_ASYNC_REST_DEPENDENCIES = False + ASYNC_REST_EXCEPTION = e + + +class MigrationServiceClientMeta(type): + """Metaclass for the MigrationService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + + _transport_registry = ( + OrderedDict() + ) # type: Dict[str, Type[MigrationServiceTransport]] + _transport_registry["grpc"] = MigrationServiceGrpcTransport + _transport_registry["grpc_asyncio"] = MigrationServiceGrpcAsyncIOTransport + _transport_registry["rest"] = MigrationServiceRestTransport + if HAS_ASYNC_REST_DEPENDENCIES: # pragma: NO COVER + _transport_registry["rest_asyncio"] = AsyncMigrationServiceRestTransport + + def get_transport_class( + cls, + label: Optional[str] = None, + ) -> Type[MigrationServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if ( + label == "rest_asyncio" and not HAS_ASYNC_REST_DEPENDENCIES + ): # pragma: NO COVER + raise ASYNC_REST_EXCEPTION + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class MigrationServiceClient(metaclass=MigrationServiceClientMeta): + """A service that migrates resources from automl.googleapis.com, + datalabeling.googleapis.com and ml.googleapis.com to Vertex AI. + """ + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "aiplatform.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @staticmethod + def _use_client_cert_effective(): + """Returns whether client certificate should be used for mTLS if the + google-auth version supports should_use_client_cert automatic mTLS enablement. + + Alternatively, read from the GOOGLE_API_USE_CLIENT_CERTIFICATE env var. + + Returns: + bool: whether client certificate should be used for mTLS + Raises: + ValueError: (If using a version of google-auth without should_use_client_cert and + GOOGLE_API_USE_CLIENT_CERTIFICATE is set to an unexpected value.) + """ + # check if google-auth version supports should_use_client_cert for automatic mTLS enablement + if hasattr(mtls, "should_use_client_cert"): # pragma: NO COVER + return mtls.should_use_client_cert() + else: # pragma: NO COVER + # if unsupported, fallback to reading from env var + use_client_cert_str = os.getenv( + "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false" + ).lower() + if use_client_cert_str not in ("true", "false"): + raise ValueError( + "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be" + " either `true` or `false`" + ) + return use_client_cert_str == "true" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + MigrationServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + MigrationServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file(filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> MigrationServiceTransport: + """Returns the transport used by the client instance. + + Returns: + MigrationServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def annotated_dataset_path( + project: str, + dataset: str, + annotated_dataset: str, + ) -> str: + """Returns a fully-qualified annotated_dataset string.""" + return "projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}".format( + project=project, + dataset=dataset, + annotated_dataset=annotated_dataset, + ) + + @staticmethod + def parse_annotated_dataset_path(path: str) -> Dict[str, str]: + """Parses a annotated_dataset path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/datasets/(?P.+?)/annotatedDatasets/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def dataset_path( + project: str, + location: str, + dataset: str, + ) -> str: + """Returns a fully-qualified dataset string.""" + return "projects/{project}/locations/{location}/datasets/{dataset}".format( + project=project, + location=location, + dataset=dataset, + ) + + @staticmethod + def parse_dataset_path(path: str) -> Dict[str, str]: + """Parses a dataset path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/datasets/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def dataset_path( + project: str, + dataset: str, + ) -> str: + """Returns a fully-qualified dataset string.""" + return "projects/{project}/datasets/{dataset}".format( + project=project, + dataset=dataset, + ) + + @staticmethod + def parse_dataset_path(path: str) -> Dict[str, str]: + """Parses a dataset path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/datasets/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def dataset_path( + project: str, + location: str, + dataset: str, + ) -> str: + """Returns a fully-qualified dataset string.""" + return "projects/{project}/locations/{location}/datasets/{dataset}".format( + project=project, + location=location, + dataset=dataset, + ) + + @staticmethod + def parse_dataset_path(path: str) -> Dict[str, str]: + """Parses a dataset path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/datasets/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def model_path( + project: str, + location: str, + model: str, + ) -> str: + """Returns a fully-qualified model string.""" + return "projects/{project}/locations/{location}/models/{model}".format( + project=project, + location=location, + model=model, + ) + + @staticmethod + def parse_model_path(path: str) -> Dict[str, str]: + """Parses a model path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/models/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def model_path( + project: str, + location: str, + model: str, + ) -> str: + """Returns a fully-qualified model string.""" + return "projects/{project}/locations/{location}/models/{model}".format( + project=project, + location=location, + model=model, + ) + + @staticmethod + def parse_model_path(path: str) -> Dict[str, str]: + """Parses a model path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/models/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def version_path( + project: str, + model: str, + version: str, + ) -> str: + """Returns a fully-qualified version string.""" + return "projects/{project}/models/{model}/versions/{version}".format( + project=project, + model=model, + version=version, + ) + + @staticmethod + def parse_version_path(path: str) -> Dict[str, str]: + """Parses a version path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/models/(?P.+?)/versions/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path( + billing_account: str, + ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format( + billing_account=billing_account, + ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str, str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path( + folder: str, + ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format( + folder=folder, + ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str, str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path( + organization: str, + ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format( + organization=organization, + ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str, str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path( + project: str, + ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format( + project=project, + ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str, str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path( + project: str, + location: str, + ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format( + project=project, + location=location, + ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str, str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[client_options_lib.ClientOptions] = None + ): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn( + "get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning, + ) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = MigrationServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert: + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = MigrationServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + return use_client_cert, use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint( + api_override, client_cert_source, universe_domain, use_mtls_endpoint + ): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + _default_universe = MigrationServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError( + f"mTLS is not supported in any universe other than {_default_universe}." + ) + api_endpoint = MigrationServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = MigrationServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format( + UNIVERSE_DOMAIN=universe_domain + ) + return api_endpoint + + @staticmethod + def _get_universe_domain( + client_universe_domain: Optional[str], universe_domain_env: Optional[str] + ) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = MigrationServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + + # NOTE (b/349488459): universe validation is disabled until further notice. + return True + + def _add_cred_info_for_auth_errors( + self, error: core_exceptions.GoogleAPICallError + ) -> None: + """Adds credential info string to error details for 401/403/404 errors. + + Args: + error (google.api_core.exceptions.GoogleAPICallError): The error to add the cred info. + """ + if error.code not in [ + HTTPStatus.UNAUTHORIZED, + HTTPStatus.FORBIDDEN, + HTTPStatus.NOT_FOUND, + ]: + return + + cred = self._transport._credentials + + # get_cred_info is only available in google-auth>=2.35.0 + if not hasattr(cred, "get_cred_info"): + return + + # ignore the type check since pypy test fails when get_cred_info + # is not available + cred_info = cred.get_cred_info() # type: ignore + if cred_info and hasattr(error._details, "append"): + error._details.append(json.dumps(cred_info)) + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, MigrationServiceTransport, Callable[..., MigrationServiceTransport] + ] + ] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the migration service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,MigrationServiceTransport,Callable[..., MigrationServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the MigrationServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast( + client_options_lib.ClientOptions, self._client_options + ) + + universe_domain_opt = getattr(self._client_options, "universe_domain", None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = ( + MigrationServiceClient._read_environment_variables() + ) + self._client_cert_source = MigrationServiceClient._get_client_cert_source( + self._client_options.client_cert_source, self._use_client_cert + ) + self._universe_domain = MigrationServiceClient._get_universe_domain( + universe_domain_opt, self._universe_domain_env + ) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + if CLIENT_LOGGING_SUPPORTED: # pragma: NO COVER + # Setup logging. + client_logging.initialize_logging() + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError( + "client_options.api_key and credentials are mutually exclusive" + ) + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance(transport, MigrationServiceTransport) + if transport_provided: + # transport is a MigrationServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError( + "When providing a transport instance, " + "provide its credentials directly." + ) + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(MigrationServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = ( + self._api_endpoint + or MigrationServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint, + ) + ) + + if not transport_provided: + transport_init: Union[ + Type[MigrationServiceTransport], + Callable[..., MigrationServiceTransport], + ] = ( + MigrationServiceClient.get_transport_class(transport) + if isinstance(transport, str) or transport is None + else cast(Callable[..., MigrationServiceTransport], transport) + ) + + if "rest_asyncio" in str(transport_init): + unsupported_params = { + "google.api_core.client_options.ClientOptions.credentials_file": self._client_options.credentials_file, + "google.api_core.client_options.ClientOptions.scopes": self._client_options.scopes, + "google.api_core.client_options.ClientOptions.quota_project_id": self._client_options.quota_project_id, + "google.api_core.client_options.ClientOptions.client_cert_source": self._client_options.client_cert_source, + "google.api_core.client_options.ClientOptions.api_audience": self._client_options.api_audience, + } + provided_unsupported_params = [ + name + for name, value in unsupported_params.items() + if value is not None + ] + if provided_unsupported_params: + raise core_exceptions.AsyncRestUnsupportedParameterError( # type: ignore + f"The following provided parameters are not supported for `transport=rest_asyncio`: {', '.join(provided_unsupported_params)}" + ) + self._transport = transport_init( + credentials=credentials, + host=self._api_endpoint, + client_info=client_info, + ) + return + + import google.auth._default # type: ignore + + if api_key_value and hasattr( + google.auth._default, "get_api_key_credentials" + ): + credentials = google.auth._default.get_api_key_credentials( + api_key_value + ) + + # initialize with the provided callable or the passed in class + self._transport = transport_init( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + if "async" not in str(self._transport): + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.MigrationServiceClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.MigrationService", + "universeDomain": getattr( + self._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._transport._credentials).__module__}.{type(self._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, + "get_cred_info", + lambda: None, + )(), + } + if hasattr(self._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.MigrationService", + "credentialsType": None, + } + ), + ) + + def search_migratable_resources( + self, + request: Optional[ + Union[migration_service.SearchMigratableResourcesRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.SearchMigratableResourcesPager: + r"""Searches all of the resources in + automl.googleapis.com, datalabeling.googleapis.com and + ml.googleapis.com that can be migrated to Vertex AI's + given location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_search_migratable_resources(): + # Create a client + client = aiplatform_v1.MigrationServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.SearchMigratableResourcesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.search_migratable_resources(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.SearchMigratableResourcesRequest, dict]): + The request object. Request message for + [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources]. + parent (str): + Required. The location that the migratable resources + should be searched from. It's the Vertex AI location + that the resources can be migrated to, not the + resources' original location. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.migration_service.pagers.SearchMigratableResourcesPager: + Response message for + [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, migration_service.SearchMigratableResourcesRequest): + request = migration_service.SearchMigratableResourcesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.search_migratable_resources + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.SearchMigratableResourcesPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def batch_migrate_resources( + self, + request: Optional[ + Union[migration_service.BatchMigrateResourcesRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + migrate_resource_requests: Optional[ + MutableSequence[migration_service.MigrateResourceRequest] + ] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation.Operation: + r"""Batch migrates resources from ml.googleapis.com, + automl.googleapis.com, and datalabeling.googleapis.com + to Vertex AI. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_batch_migrate_resources(): + # Create a client + client = aiplatform_v1.MigrationServiceClient() + + # Initialize request argument(s) + migrate_resource_requests = aiplatform_v1.MigrateResourceRequest() + migrate_resource_requests.migrate_ml_engine_model_version_config.endpoint = "endpoint_value" + migrate_resource_requests.migrate_ml_engine_model_version_config.model_version = "model_version_value" + migrate_resource_requests.migrate_ml_engine_model_version_config.model_display_name = "model_display_name_value" + + request = aiplatform_v1.BatchMigrateResourcesRequest( + parent="parent_value", + migrate_resource_requests=migrate_resource_requests, + ) + + # Make the request + operation = client.batch_migrate_resources(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.BatchMigrateResourcesRequest, dict]): + The request object. Request message for + [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources]. + parent (str): + Required. The location of the migrated resource will + live in. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + migrate_resource_requests (MutableSequence[google.cloud.aiplatform_v1.types.MigrateResourceRequest]): + Required. The request messages + specifying the resources to migrate. + They must be in the same location as the + destination. Up to 50 resources can be + migrated in one batch. + + This corresponds to the ``migrate_resource_requests`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.BatchMigrateResourcesResponse` Response message for + [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, migrate_resource_requests] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, migration_service.BatchMigrateResourcesRequest): + request = migration_service.BatchMigrateResourcesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if migrate_resource_requests is not None: + request.migrate_resource_requests = migrate_resource_requests + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.batch_migrate_resources] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + migration_service.BatchMigrateResourcesResponse, + metadata_type=migration_service.BatchMigrateResourcesOperationMetadata, + ) + + # Done; return the response. + return response + + def __enter__(self) -> "MigrationServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + +__all__ = ("MigrationServiceClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/migration_service/pagers.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/migration_service/pagers.py new file mode 100644 index 0000000000000000000000000000000000000000..359b902755e3555201b1071cd311e55604423b4c --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/migration_service/pagers.py @@ -0,0 +1,201 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import retry_async as retries_async +from typing import ( + Any, + AsyncIterator, + Awaitable, + Callable, + Sequence, + Tuple, + Optional, + Iterator, + Union, +) + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] + OptionalAsyncRetry = Union[ + retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None + ] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.types import migratable_resource +from google.cloud.aiplatform_v1.types import migration_service + + +class SearchMigratableResourcesPager: + """A pager for iterating through ``search_migratable_resources`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.SearchMigratableResourcesResponse` object, and + provides an ``__iter__`` method to iterate through its + ``migratable_resources`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``SearchMigratableResources`` requests and continue to iterate + through the ``migratable_resources`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.SearchMigratableResourcesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., migration_service.SearchMigratableResourcesResponse], + request: migration_service.SearchMigratableResourcesRequest, + response: migration_service.SearchMigratableResourcesResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.SearchMigratableResourcesRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.SearchMigratableResourcesResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = migration_service.SearchMigratableResourcesRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[migration_service.SearchMigratableResourcesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[migratable_resource.MigratableResource]: + for page in self.pages: + yield from page.migratable_resources + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class SearchMigratableResourcesAsyncPager: + """A pager for iterating through ``search_migratable_resources`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.SearchMigratableResourcesResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``migratable_resources`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``SearchMigratableResources`` requests and continue to iterate + through the ``migratable_resources`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.SearchMigratableResourcesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[ + ..., Awaitable[migration_service.SearchMigratableResourcesResponse] + ], + request: migration_service.SearchMigratableResourcesRequest, + response: migration_service.SearchMigratableResourcesResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.SearchMigratableResourcesRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.SearchMigratableResourcesResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = migration_service.SearchMigratableResourcesRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages( + self, + ) -> AsyncIterator[migration_service.SearchMigratableResourcesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[migratable_resource.MigratableResource]: + async def async_generator(): + async for page in self.pages: + for response in page.migratable_resources: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/model_garden_service/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/model_garden_service/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..8c77df19bb56d6f3ba21f8357381476c4d59e34c --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/model_garden_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import ModelGardenServiceClient +from .async_client import ModelGardenServiceAsyncClient + +__all__ = ( + "ModelGardenServiceClient", + "ModelGardenServiceAsyncClient", +) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/model_garden_service/async_client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/model_garden_service/async_client.py new file mode 100644 index 0000000000000000000000000000000000000000..b41cf9695eeba5566ca52298339c8d7486608106 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/model_garden_service/async_client.py @@ -0,0 +1,1244 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging as std_logging +from collections import OrderedDict +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, +) + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.types import model +from google.cloud.aiplatform_v1.types import model_garden_service +from google.cloud.aiplatform_v1.types import publisher_model +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +from .transports.base import ModelGardenServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import ModelGardenServiceGrpcAsyncIOTransport +from .client import ModelGardenServiceClient + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class ModelGardenServiceAsyncClient: + """The interface of Model Garden Service.""" + + _client: ModelGardenServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = ModelGardenServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = ModelGardenServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = ModelGardenServiceClient._DEFAULT_ENDPOINT_TEMPLATE + _DEFAULT_UNIVERSE = ModelGardenServiceClient._DEFAULT_UNIVERSE + + endpoint_path = staticmethod(ModelGardenServiceClient.endpoint_path) + parse_endpoint_path = staticmethod(ModelGardenServiceClient.parse_endpoint_path) + model_path = staticmethod(ModelGardenServiceClient.model_path) + parse_model_path = staticmethod(ModelGardenServiceClient.parse_model_path) + publisher_model_path = staticmethod(ModelGardenServiceClient.publisher_model_path) + parse_publisher_model_path = staticmethod( + ModelGardenServiceClient.parse_publisher_model_path + ) + reservation_path = staticmethod(ModelGardenServiceClient.reservation_path) + parse_reservation_path = staticmethod( + ModelGardenServiceClient.parse_reservation_path + ) + common_billing_account_path = staticmethod( + ModelGardenServiceClient.common_billing_account_path + ) + parse_common_billing_account_path = staticmethod( + ModelGardenServiceClient.parse_common_billing_account_path + ) + common_folder_path = staticmethod(ModelGardenServiceClient.common_folder_path) + parse_common_folder_path = staticmethod( + ModelGardenServiceClient.parse_common_folder_path + ) + common_organization_path = staticmethod( + ModelGardenServiceClient.common_organization_path + ) + parse_common_organization_path = staticmethod( + ModelGardenServiceClient.parse_common_organization_path + ) + common_project_path = staticmethod(ModelGardenServiceClient.common_project_path) + parse_common_project_path = staticmethod( + ModelGardenServiceClient.parse_common_project_path + ) + common_location_path = staticmethod(ModelGardenServiceClient.common_location_path) + parse_common_location_path = staticmethod( + ModelGardenServiceClient.parse_common_location_path + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + ModelGardenServiceAsyncClient: The constructed client. + """ + sa_info_func = ( + ModelGardenServiceClient.from_service_account_info.__func__ # type: ignore + ) + return sa_info_func(ModelGardenServiceAsyncClient, info, *args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + ModelGardenServiceAsyncClient: The constructed client. + """ + sa_file_func = ( + ModelGardenServiceClient.from_service_account_file.__func__ # type: ignore + ) + return sa_file_func(ModelGardenServiceAsyncClient, filename, *args, **kwargs) + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[ClientOptions] = None + ): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return ModelGardenServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> ModelGardenServiceTransport: + """Returns the transport used by the client instance. + + Returns: + ModelGardenServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = ModelGardenServiceClient.get_transport_class + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + ModelGardenServiceTransport, + Callable[..., ModelGardenServiceTransport], + ] + ] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the model garden service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,ModelGardenServiceTransport,Callable[..., ModelGardenServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport to use. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the ModelGardenServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = ModelGardenServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.ModelGardenServiceAsyncClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.ModelGardenService", + "universeDomain": getattr( + self._client._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._client._transport._credentials).__module__}.{type(self._client._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, "get_cred_info", lambda: None + )(), + } + if hasattr(self._client._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.ModelGardenService", + "credentialsType": None, + } + ), + ) + + async def get_publisher_model( + self, + request: Optional[ + Union[model_garden_service.GetPublisherModelRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> publisher_model.PublisherModel: + r"""Gets a Model Garden publisher model. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_publisher_model(): + # Create a client + client = aiplatform_v1.ModelGardenServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetPublisherModelRequest( + name="name_value", + ) + + # Make the request + response = await client.get_publisher_model(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetPublisherModelRequest, dict]]): + The request object. Request message for + [ModelGardenService.GetPublisherModel][google.cloud.aiplatform.v1.ModelGardenService.GetPublisherModel] + name (:class:`str`): + Required. The name of the PublisherModel resource. + Format: + ``publishers/{publisher}/models/{publisher_model}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.PublisherModel: + A Model Garden Publisher Model. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_garden_service.GetPublisherModelRequest): + request = model_garden_service.GetPublisherModelRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_publisher_model + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def deploy( + self, + request: Optional[Union[model_garden_service.DeployRequest, dict]] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deploys a model to a new endpoint. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_deploy(): + # Create a client + client = aiplatform_v1.ModelGardenServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeployRequest( + publisher_model_name="publisher_model_name_value", + destination="destination_value", + ) + + # Make the request + operation = client.deploy(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeployRequest, dict]]): + The request object. Request message for + [ModelGardenService.Deploy][google.cloud.aiplatform.v1.ModelGardenService.Deploy]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.DeployResponse` Response message for + [ModelGardenService.Deploy][google.cloud.aiplatform.v1.ModelGardenService.Deploy]. + + """ + # Create or coerce a protobuf request object. + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_garden_service.DeployRequest): + request = model_garden_service.DeployRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[self._client._transport.deploy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("destination", request.destination),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + model_garden_service.DeployResponse, + metadata_type=model_garden_service.DeployOperationMetadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[ + self._client._transport.test_iam_permissions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self) -> "ModelGardenServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +__all__ = ("ModelGardenServiceAsyncClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/model_garden_service/client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/model_garden_service/client.py new file mode 100644 index 0000000000000000000000000000000000000000..65e8390682c22e14143adf589bcf7598301b2cf3 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/model_garden_service/client.py @@ -0,0 +1,1802 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from http import HTTPStatus +import json +import logging as std_logging +import os +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, + cast, +) +import warnings + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + +from google.cloud.aiplatform_v1.types import model +from google.cloud.aiplatform_v1.types import model_garden_service +from google.cloud.aiplatform_v1.types import publisher_model +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +from .transports.base import ModelGardenServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import ModelGardenServiceGrpcTransport +from .transports.grpc_asyncio import ModelGardenServiceGrpcAsyncIOTransport +from .transports.rest import ModelGardenServiceRestTransport + +try: + from .transports.rest_asyncio import AsyncModelGardenServiceRestTransport + + HAS_ASYNC_REST_DEPENDENCIES = True +except ImportError as e: # pragma: NO COVER + HAS_ASYNC_REST_DEPENDENCIES = False + ASYNC_REST_EXCEPTION = e + + +class ModelGardenServiceClientMeta(type): + """Metaclass for the ModelGardenService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + + _transport_registry = ( + OrderedDict() + ) # type: Dict[str, Type[ModelGardenServiceTransport]] + _transport_registry["grpc"] = ModelGardenServiceGrpcTransport + _transport_registry["grpc_asyncio"] = ModelGardenServiceGrpcAsyncIOTransport + _transport_registry["rest"] = ModelGardenServiceRestTransport + if HAS_ASYNC_REST_DEPENDENCIES: # pragma: NO COVER + _transport_registry["rest_asyncio"] = AsyncModelGardenServiceRestTransport + + def get_transport_class( + cls, + label: Optional[str] = None, + ) -> Type[ModelGardenServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if ( + label == "rest_asyncio" and not HAS_ASYNC_REST_DEPENDENCIES + ): # pragma: NO COVER + raise ASYNC_REST_EXCEPTION + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class ModelGardenServiceClient(metaclass=ModelGardenServiceClientMeta): + """The interface of Model Garden Service.""" + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "aiplatform.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @staticmethod + def _use_client_cert_effective(): + """Returns whether client certificate should be used for mTLS if the + google-auth version supports should_use_client_cert automatic mTLS enablement. + + Alternatively, read from the GOOGLE_API_USE_CLIENT_CERTIFICATE env var. + + Returns: + bool: whether client certificate should be used for mTLS + Raises: + ValueError: (If using a version of google-auth without should_use_client_cert and + GOOGLE_API_USE_CLIENT_CERTIFICATE is set to an unexpected value.) + """ + # check if google-auth version supports should_use_client_cert for automatic mTLS enablement + if hasattr(mtls, "should_use_client_cert"): # pragma: NO COVER + return mtls.should_use_client_cert() + else: # pragma: NO COVER + # if unsupported, fallback to reading from env var + use_client_cert_str = os.getenv( + "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false" + ).lower() + if use_client_cert_str not in ("true", "false"): + raise ValueError( + "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be" + " either `true` or `false`" + ) + return use_client_cert_str == "true" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + ModelGardenServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + ModelGardenServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file(filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> ModelGardenServiceTransport: + """Returns the transport used by the client instance. + + Returns: + ModelGardenServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def endpoint_path( + project: str, + location: str, + endpoint: str, + ) -> str: + """Returns a fully-qualified endpoint string.""" + return "projects/{project}/locations/{location}/endpoints/{endpoint}".format( + project=project, + location=location, + endpoint=endpoint, + ) + + @staticmethod + def parse_endpoint_path(path: str) -> Dict[str, str]: + """Parses a endpoint path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/endpoints/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def model_path( + project: str, + location: str, + model: str, + ) -> str: + """Returns a fully-qualified model string.""" + return "projects/{project}/locations/{location}/models/{model}".format( + project=project, + location=location, + model=model, + ) + + @staticmethod + def parse_model_path(path: str) -> Dict[str, str]: + """Parses a model path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/models/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def publisher_model_path( + publisher: str, + model: str, + ) -> str: + """Returns a fully-qualified publisher_model string.""" + return "publishers/{publisher}/models/{model}".format( + publisher=publisher, + model=model, + ) + + @staticmethod + def parse_publisher_model_path(path: str) -> Dict[str, str]: + """Parses a publisher_model path into its component segments.""" + m = re.match(r"^publishers/(?P.+?)/models/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def reservation_path( + project_id_or_number: str, + zone: str, + reservation_name: str, + ) -> str: + """Returns a fully-qualified reservation string.""" + return "projects/{project_id_or_number}/zones/{zone}/reservations/{reservation_name}".format( + project_id_or_number=project_id_or_number, + zone=zone, + reservation_name=reservation_name, + ) + + @staticmethod + def parse_reservation_path(path: str) -> Dict[str, str]: + """Parses a reservation path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/zones/(?P.+?)/reservations/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path( + billing_account: str, + ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format( + billing_account=billing_account, + ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str, str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path( + folder: str, + ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format( + folder=folder, + ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str, str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path( + organization: str, + ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format( + organization=organization, + ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str, str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path( + project: str, + ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format( + project=project, + ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str, str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path( + project: str, + location: str, + ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format( + project=project, + location=location, + ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str, str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[client_options_lib.ClientOptions] = None + ): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn( + "get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning, + ) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = ModelGardenServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert: + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = ModelGardenServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + return use_client_cert, use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint( + api_override, client_cert_source, universe_domain, use_mtls_endpoint + ): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + _default_universe = ModelGardenServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError( + f"mTLS is not supported in any universe other than {_default_universe}." + ) + api_endpoint = ModelGardenServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = ModelGardenServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format( + UNIVERSE_DOMAIN=universe_domain + ) + return api_endpoint + + @staticmethod + def _get_universe_domain( + client_universe_domain: Optional[str], universe_domain_env: Optional[str] + ) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = ModelGardenServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + + # NOTE (b/349488459): universe validation is disabled until further notice. + return True + + def _add_cred_info_for_auth_errors( + self, error: core_exceptions.GoogleAPICallError + ) -> None: + """Adds credential info string to error details for 401/403/404 errors. + + Args: + error (google.api_core.exceptions.GoogleAPICallError): The error to add the cred info. + """ + if error.code not in [ + HTTPStatus.UNAUTHORIZED, + HTTPStatus.FORBIDDEN, + HTTPStatus.NOT_FOUND, + ]: + return + + cred = self._transport._credentials + + # get_cred_info is only available in google-auth>=2.35.0 + if not hasattr(cred, "get_cred_info"): + return + + # ignore the type check since pypy test fails when get_cred_info + # is not available + cred_info = cred.get_cred_info() # type: ignore + if cred_info and hasattr(error._details, "append"): + error._details.append(json.dumps(cred_info)) + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + ModelGardenServiceTransport, + Callable[..., ModelGardenServiceTransport], + ] + ] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the model garden service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,ModelGardenServiceTransport,Callable[..., ModelGardenServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the ModelGardenServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast( + client_options_lib.ClientOptions, self._client_options + ) + + universe_domain_opt = getattr(self._client_options, "universe_domain", None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = ( + ModelGardenServiceClient._read_environment_variables() + ) + self._client_cert_source = ModelGardenServiceClient._get_client_cert_source( + self._client_options.client_cert_source, self._use_client_cert + ) + self._universe_domain = ModelGardenServiceClient._get_universe_domain( + universe_domain_opt, self._universe_domain_env + ) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + if CLIENT_LOGGING_SUPPORTED: # pragma: NO COVER + # Setup logging. + client_logging.initialize_logging() + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError( + "client_options.api_key and credentials are mutually exclusive" + ) + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance(transport, ModelGardenServiceTransport) + if transport_provided: + # transport is a ModelGardenServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError( + "When providing a transport instance, " + "provide its credentials directly." + ) + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(ModelGardenServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = ( + self._api_endpoint + or ModelGardenServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint, + ) + ) + + if not transport_provided: + transport_init: Union[ + Type[ModelGardenServiceTransport], + Callable[..., ModelGardenServiceTransport], + ] = ( + ModelGardenServiceClient.get_transport_class(transport) + if isinstance(transport, str) or transport is None + else cast(Callable[..., ModelGardenServiceTransport], transport) + ) + + if "rest_asyncio" in str(transport_init): + unsupported_params = { + "google.api_core.client_options.ClientOptions.credentials_file": self._client_options.credentials_file, + "google.api_core.client_options.ClientOptions.scopes": self._client_options.scopes, + "google.api_core.client_options.ClientOptions.quota_project_id": self._client_options.quota_project_id, + "google.api_core.client_options.ClientOptions.client_cert_source": self._client_options.client_cert_source, + "google.api_core.client_options.ClientOptions.api_audience": self._client_options.api_audience, + } + provided_unsupported_params = [ + name + for name, value in unsupported_params.items() + if value is not None + ] + if provided_unsupported_params: + raise core_exceptions.AsyncRestUnsupportedParameterError( # type: ignore + f"The following provided parameters are not supported for `transport=rest_asyncio`: {', '.join(provided_unsupported_params)}" + ) + self._transport = transport_init( + credentials=credentials, + host=self._api_endpoint, + client_info=client_info, + ) + return + + import google.auth._default # type: ignore + + if api_key_value and hasattr( + google.auth._default, "get_api_key_credentials" + ): + credentials = google.auth._default.get_api_key_credentials( + api_key_value + ) + + # initialize with the provided callable or the passed in class + self._transport = transport_init( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + if "async" not in str(self._transport): + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.ModelGardenServiceClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.ModelGardenService", + "universeDomain": getattr( + self._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._transport._credentials).__module__}.{type(self._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, + "get_cred_info", + lambda: None, + )(), + } + if hasattr(self._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.ModelGardenService", + "credentialsType": None, + } + ), + ) + + def get_publisher_model( + self, + request: Optional[ + Union[model_garden_service.GetPublisherModelRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> publisher_model.PublisherModel: + r"""Gets a Model Garden publisher model. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_publisher_model(): + # Create a client + client = aiplatform_v1.ModelGardenServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetPublisherModelRequest( + name="name_value", + ) + + # Make the request + response = client.get_publisher_model(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetPublisherModelRequest, dict]): + The request object. Request message for + [ModelGardenService.GetPublisherModel][google.cloud.aiplatform.v1.ModelGardenService.GetPublisherModel] + name (str): + Required. The name of the PublisherModel resource. + Format: + ``publishers/{publisher}/models/{publisher_model}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.PublisherModel: + A Model Garden Publisher Model. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_garden_service.GetPublisherModelRequest): + request = model_garden_service.GetPublisherModelRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_publisher_model] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def deploy( + self, + request: Optional[Union[model_garden_service.DeployRequest, dict]] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation.Operation: + r"""Deploys a model to a new endpoint. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_deploy(): + # Create a client + client = aiplatform_v1.ModelGardenServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeployRequest( + publisher_model_name="publisher_model_name_value", + destination="destination_value", + ) + + # Make the request + operation = client.deploy(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeployRequest, dict]): + The request object. Request message for + [ModelGardenService.Deploy][google.cloud.aiplatform.v1.ModelGardenService.Deploy]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.DeployResponse` Response message for + [ModelGardenService.Deploy][google.cloud.aiplatform.v1.ModelGardenService.Deploy]. + + """ + # Create or coerce a protobuf request object. + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_garden_service.DeployRequest): + request = model_garden_service.DeployRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.deploy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("destination", request.destination),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + model_garden_service.DeployResponse, + metadata_type=model_garden_service.DeployOperationMetadata, + ) + + # Done; return the response. + return response + + def __enter__(self) -> "ModelGardenServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + +__all__ = ("ModelGardenServiceClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/model_service/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/model_service/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..aa17eabb4a767da51d155b1b1a94fa9f69f24ae4 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/model_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import ModelServiceClient +from .async_client import ModelServiceAsyncClient + +__all__ = ( + "ModelServiceClient", + "ModelServiceAsyncClient", +) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/model_service/async_client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/model_service/async_client.py new file mode 100644 index 0000000000000000000000000000000000000000..51d7a27d330408521c7fc5bcaad3f091ed0460cd --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/model_service/async_client.py @@ -0,0 +1,3546 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging as std_logging +from collections import OrderedDict +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, +) + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.services.model_service import pagers +from google.cloud.aiplatform_v1.types import deployed_model_ref +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import evaluated_annotation +from google.cloud.aiplatform_v1.types import explanation +from google.cloud.aiplatform_v1.types import model +from google.cloud.aiplatform_v1.types import model as gca_model +from google.cloud.aiplatform_v1.types import model_evaluation +from google.cloud.aiplatform_v1.types import model_evaluation as gca_model_evaluation +from google.cloud.aiplatform_v1.types import model_evaluation_slice +from google.cloud.aiplatform_v1.types import model_service +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.struct_pb2 as struct_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +from .transports.base import ModelServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import ModelServiceGrpcAsyncIOTransport +from .client import ModelServiceClient + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class ModelServiceAsyncClient: + """A service for managing Vertex AI's machine learning Models.""" + + _client: ModelServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = ModelServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = ModelServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = ModelServiceClient._DEFAULT_ENDPOINT_TEMPLATE + _DEFAULT_UNIVERSE = ModelServiceClient._DEFAULT_UNIVERSE + + endpoint_path = staticmethod(ModelServiceClient.endpoint_path) + parse_endpoint_path = staticmethod(ModelServiceClient.parse_endpoint_path) + model_path = staticmethod(ModelServiceClient.model_path) + parse_model_path = staticmethod(ModelServiceClient.parse_model_path) + model_evaluation_path = staticmethod(ModelServiceClient.model_evaluation_path) + parse_model_evaluation_path = staticmethod( + ModelServiceClient.parse_model_evaluation_path + ) + model_evaluation_slice_path = staticmethod( + ModelServiceClient.model_evaluation_slice_path + ) + parse_model_evaluation_slice_path = staticmethod( + ModelServiceClient.parse_model_evaluation_slice_path + ) + pipeline_job_path = staticmethod(ModelServiceClient.pipeline_job_path) + parse_pipeline_job_path = staticmethod(ModelServiceClient.parse_pipeline_job_path) + training_pipeline_path = staticmethod(ModelServiceClient.training_pipeline_path) + parse_training_pipeline_path = staticmethod( + ModelServiceClient.parse_training_pipeline_path + ) + common_billing_account_path = staticmethod( + ModelServiceClient.common_billing_account_path + ) + parse_common_billing_account_path = staticmethod( + ModelServiceClient.parse_common_billing_account_path + ) + common_folder_path = staticmethod(ModelServiceClient.common_folder_path) + parse_common_folder_path = staticmethod(ModelServiceClient.parse_common_folder_path) + common_organization_path = staticmethod(ModelServiceClient.common_organization_path) + parse_common_organization_path = staticmethod( + ModelServiceClient.parse_common_organization_path + ) + common_project_path = staticmethod(ModelServiceClient.common_project_path) + parse_common_project_path = staticmethod( + ModelServiceClient.parse_common_project_path + ) + common_location_path = staticmethod(ModelServiceClient.common_location_path) + parse_common_location_path = staticmethod( + ModelServiceClient.parse_common_location_path + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + ModelServiceAsyncClient: The constructed client. + """ + sa_info_func = ( + ModelServiceClient.from_service_account_info.__func__ # type: ignore + ) + return sa_info_func(ModelServiceAsyncClient, info, *args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + ModelServiceAsyncClient: The constructed client. + """ + sa_file_func = ( + ModelServiceClient.from_service_account_file.__func__ # type: ignore + ) + return sa_file_func(ModelServiceAsyncClient, filename, *args, **kwargs) + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[ClientOptions] = None + ): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return ModelServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> ModelServiceTransport: + """Returns the transport used by the client instance. + + Returns: + ModelServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = ModelServiceClient.get_transport_class + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[str, ModelServiceTransport, Callable[..., ModelServiceTransport]] + ] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the model service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,ModelServiceTransport,Callable[..., ModelServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport to use. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the ModelServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = ModelServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.ModelServiceAsyncClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.ModelService", + "universeDomain": getattr( + self._client._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._client._transport._credentials).__module__}.{type(self._client._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, "get_cred_info", lambda: None + )(), + } + if hasattr(self._client._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.ModelService", + "credentialsType": None, + } + ), + ) + + async def upload_model( + self, + request: Optional[Union[model_service.UploadModelRequest, dict]] = None, + *, + parent: Optional[str] = None, + model: Optional[gca_model.Model] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Uploads a Model artifact into Vertex AI. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_upload_model(): + # Create a client + client = aiplatform_v1.ModelServiceAsyncClient() + + # Initialize request argument(s) + model = aiplatform_v1.Model() + model.display_name = "display_name_value" + + request = aiplatform_v1.UploadModelRequest( + parent="parent_value", + model=model, + ) + + # Make the request + operation = client.upload_model(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UploadModelRequest, dict]]): + The request object. Request message for + [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel]. + parent (:class:`str`): + Required. The resource name of the Location into which + to upload the Model. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + model (:class:`google.cloud.aiplatform_v1.types.Model`): + Required. The Model to create. + This corresponds to the ``model`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.UploadModelResponse` Response message of + [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] + operation. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, model] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.UploadModelRequest): + request = model_service.UploadModelRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if model is not None: + request.model = model + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.upload_model + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + model_service.UploadModelResponse, + metadata_type=model_service.UploadModelOperationMetadata, + ) + + # Done; return the response. + return response + + async def get_model( + self, + request: Optional[Union[model_service.GetModelRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> model.Model: + r"""Gets a Model. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_model(): + # Create a client + client = aiplatform_v1.ModelServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetModelRequest( + name="name_value", + ) + + # Make the request + response = await client.get_model(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetModelRequest, dict]]): + The request object. Request message for + [ModelService.GetModel][google.cloud.aiplatform.v1.ModelService.GetModel]. + name (:class:`str`): + Required. The name of the Model resource. Format: + ``projects/{project}/locations/{location}/models/{model}`` + + In order to retrieve a specific version of the model, + also provide the version ID or version alias. Example: + ``projects/{project}/locations/{location}/models/{model}@2`` + or + ``projects/{project}/locations/{location}/models/{model}@golden`` + If no version ID or alias is specified, the "default" + version will be returned. The "default" version alias is + created for the first version of the model, and can be + moved to other versions later on. There will be exactly + one default version. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Model: + A trained machine learning Model. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.GetModelRequest): + request = model_service.GetModelRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_model + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_models( + self, + request: Optional[Union[model_service.ListModelsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListModelsAsyncPager: + r"""Lists Models in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_models(): + # Create a client + client = aiplatform_v1.ModelServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListModelsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_models(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListModelsRequest, dict]]): + The request object. Request message for + [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]. + parent (:class:`str`): + Required. The resource name of the Location to list the + Models from. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.model_service.pagers.ListModelsAsyncPager: + Response message for + [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels] + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.ListModelsRequest): + request = model_service.ListModelsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_models + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListModelsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_model_versions( + self, + request: Optional[Union[model_service.ListModelVersionsRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListModelVersionsAsyncPager: + r"""Lists versions of the specified model. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_model_versions(): + # Create a client + client = aiplatform_v1.ModelServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListModelVersionsRequest( + name="name_value", + ) + + # Make the request + page_result = client.list_model_versions(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListModelVersionsRequest, dict]]): + The request object. Request message for + [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions]. + name (:class:`str`): + Required. The name of the model to + list versions for. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.model_service.pagers.ListModelVersionsAsyncPager: + Response message for + [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions] + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.ListModelVersionsRequest): + request = model_service.ListModelVersionsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_model_versions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListModelVersionsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_model_version_checkpoints( + self, + request: Optional[ + Union[model_service.ListModelVersionCheckpointsRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListModelVersionCheckpointsAsyncPager: + r"""Lists checkpoints of the specified model version. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_model_version_checkpoints(): + # Create a client + client = aiplatform_v1.ModelServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListModelVersionCheckpointsRequest( + name="name_value", + ) + + # Make the request + page_result = client.list_model_version_checkpoints(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListModelVersionCheckpointsRequest, dict]]): + The request object. Request message for + [ModelService.ListModelVersionCheckpoints][google.cloud.aiplatform.v1.ModelService.ListModelVersionCheckpoints]. + name (:class:`str`): + Required. The name of the model version to list + checkpoints for. + ``projects/{project}/locations/{location}/models/{model}@{version}`` + Example: + ``projects/{project}/locations/{location}/models/{model}@2`` + or + ``projects/{project}/locations/{location}/models/{model}@golden`` + If no version ID or alias is specified, the latest + version will be used. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.model_service.pagers.ListModelVersionCheckpointsAsyncPager: + Response message for + [ModelService.ListModelVersionCheckpoints][google.cloud.aiplatform.v1.ModelService.ListModelVersionCheckpoints] + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.ListModelVersionCheckpointsRequest): + request = model_service.ListModelVersionCheckpointsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_model_version_checkpoints + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListModelVersionCheckpointsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def update_model( + self, + request: Optional[Union[model_service.UpdateModelRequest, dict]] = None, + *, + model: Optional[gca_model.Model] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_model.Model: + r"""Updates a Model. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_update_model(): + # Create a client + client = aiplatform_v1.ModelServiceAsyncClient() + + # Initialize request argument(s) + model = aiplatform_v1.Model() + model.display_name = "display_name_value" + + request = aiplatform_v1.UpdateModelRequest( + model=model, + ) + + # Make the request + response = await client.update_model(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UpdateModelRequest, dict]]): + The request object. Request message for + [ModelService.UpdateModel][google.cloud.aiplatform.v1.ModelService.UpdateModel]. + model (:class:`google.cloud.aiplatform_v1.types.Model`): + Required. The Model which replaces the resource on the + server. When Model Versioning is enabled, the model.name + will be used to determine whether to update the model or + model version. + + 1. model.name with the @ value, e.g. models/123@1, + refers to a version specific update. + 2. model.name without the @ value, e.g. models/123, + refers to a model update. + 3. model.name with @-, e.g. models/123@-, refers to a + model update. + 4. Supported model fields: display_name, description; + supported version-specific fields: + version_description. Labels are supported in both + scenarios. Both the model labels and the version + labels are merged when a model is returned. When + updating labels, if the request is for model-specific + update, model label gets updated. Otherwise, version + labels get updated. + 5. A model name or model version name fields update + mismatch will cause a precondition error. + 6. One request cannot update both the model and the + version fields. You must update them separately. + + This corresponds to the ``model`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Required. The update mask applies to the resource. For + the ``FieldMask`` definition, see + [google.protobuf.FieldMask][google.protobuf.FieldMask]. + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Model: + A trained machine learning Model. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [model, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.UpdateModelRequest): + request = model_service.UpdateModelRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if model is not None: + request.model = model + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.update_model + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("model.name", request.model.name),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def update_explanation_dataset( + self, + request: Optional[ + Union[model_service.UpdateExplanationDatasetRequest, dict] + ] = None, + *, + model: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Incrementally update the dataset used for an examples + model. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_update_explanation_dataset(): + # Create a client + client = aiplatform_v1.ModelServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.UpdateExplanationDatasetRequest( + model="model_value", + ) + + # Make the request + operation = client.update_explanation_dataset(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UpdateExplanationDatasetRequest, dict]]): + The request object. Request message for + [ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1.ModelService.UpdateExplanationDataset]. + model (:class:`str`): + Required. The resource name of the Model to update. + Format: + ``projects/{project}/locations/{location}/models/{model}`` + + This corresponds to the ``model`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.UpdateExplanationDatasetResponse` Response message of + [ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1.ModelService.UpdateExplanationDataset] + operation. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [model] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.UpdateExplanationDatasetRequest): + request = model_service.UpdateExplanationDatasetRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if model is not None: + request.model = model + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.update_explanation_dataset + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("model", request.model),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + model_service.UpdateExplanationDatasetResponse, + metadata_type=model_service.UpdateExplanationDatasetOperationMetadata, + ) + + # Done; return the response. + return response + + async def delete_model( + self, + request: Optional[Union[model_service.DeleteModelRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a Model. + + A model cannot be deleted if any + [Endpoint][google.cloud.aiplatform.v1.Endpoint] resource has a + [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] based + on the model in its + [deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] + field. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_model(): + # Create a client + client = aiplatform_v1.ModelServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteModelRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_model(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteModelRequest, dict]]): + The request object. Request message for + [ModelService.DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel]. + name (:class:`str`): + Required. The name of the Model resource to be deleted. + Format: + ``projects/{project}/locations/{location}/models/{model}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.DeleteModelRequest): + request = model_service.DeleteModelRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_model + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def delete_model_version( + self, + request: Optional[Union[model_service.DeleteModelVersionRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a Model version. + + Model version can only be deleted if there are no + [DeployedModels][google.cloud.aiplatform.v1.DeployedModel] + created from it. Deleting the only version in the Model is not + allowed. Use + [DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel] + for deleting the Model instead. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_model_version(): + # Create a client + client = aiplatform_v1.ModelServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteModelVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_model_version(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteModelVersionRequest, dict]]): + The request object. Request message for + [ModelService.DeleteModelVersion][google.cloud.aiplatform.v1.ModelService.DeleteModelVersion]. + name (:class:`str`): + Required. The name of the model version to be deleted, + with a version ID explicitly included. + + Example: + ``projects/{project}/locations/{location}/models/{model}@1234`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.DeleteModelVersionRequest): + request = model_service.DeleteModelVersionRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_model_version + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def merge_version_aliases( + self, + request: Optional[Union[model_service.MergeVersionAliasesRequest, dict]] = None, + *, + name: Optional[str] = None, + version_aliases: Optional[MutableSequence[str]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> model.Model: + r"""Merges a set of aliases for a Model version. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_merge_version_aliases(): + # Create a client + client = aiplatform_v1.ModelServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.MergeVersionAliasesRequest( + name="name_value", + version_aliases=['version_aliases_value1', 'version_aliases_value2'], + ) + + # Make the request + response = await client.merge_version_aliases(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.MergeVersionAliasesRequest, dict]]): + The request object. Request message for + [ModelService.MergeVersionAliases][google.cloud.aiplatform.v1.ModelService.MergeVersionAliases]. + name (:class:`str`): + Required. The name of the model version to merge + aliases, with a version ID explicitly included. + + Example: + ``projects/{project}/locations/{location}/models/{model}@1234`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + version_aliases (:class:`MutableSequence[str]`): + Required. The set of version aliases to merge. The alias + should be at most 128 characters, and match + ``[a-z][a-zA-Z0-9-]{0,126}[a-z-0-9]``. Add the ``-`` + prefix to an alias means removing that alias from the + version. ``-`` is NOT counted in the 128 characters. + Example: ``-golden`` means removing the ``golden`` alias + from the version. + + There is NO ordering in aliases, which means + + 1) The aliases returned from GetModel API might not have + the exactly same order from this MergeVersionAliases + API. 2) Adding and deleting the same alias in the + request is not recommended, and the 2 operations will + be cancelled out. + + This corresponds to the ``version_aliases`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Model: + A trained machine learning Model. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name, version_aliases] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.MergeVersionAliasesRequest): + request = model_service.MergeVersionAliasesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if version_aliases: + request.version_aliases.extend(version_aliases) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.merge_version_aliases + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def export_model( + self, + request: Optional[Union[model_service.ExportModelRequest, dict]] = None, + *, + name: Optional[str] = None, + output_config: Optional[model_service.ExportModelRequest.OutputConfig] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Exports a trained, exportable Model to a location specified by + the user. A Model is considered to be exportable if it has at + least one [supported export + format][google.cloud.aiplatform.v1.Model.supported_export_formats]. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_export_model(): + # Create a client + client = aiplatform_v1.ModelServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ExportModelRequest( + name="name_value", + ) + + # Make the request + operation = client.export_model(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ExportModelRequest, dict]]): + The request object. Request message for + [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel]. + name (:class:`str`): + Required. The resource name of the + Model to export. The resource name may + contain version id or version alias to + specify the version, if no version is + specified, the default version will be + exported. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + output_config (:class:`google.cloud.aiplatform_v1.types.ExportModelRequest.OutputConfig`): + Required. The desired output location + and configuration. + + This corresponds to the ``output_config`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.ExportModelResponse` Response message of + [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] + operation. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name, output_config] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.ExportModelRequest): + request = model_service.ExportModelRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if output_config is not None: + request.output_config = output_config + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.export_model + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + model_service.ExportModelResponse, + metadata_type=model_service.ExportModelOperationMetadata, + ) + + # Done; return the response. + return response + + async def copy_model( + self, + request: Optional[Union[model_service.CopyModelRequest, dict]] = None, + *, + parent: Optional[str] = None, + source_model: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Copies an already existing Vertex AI Model into the specified + Location. The source Model must exist in the same Project. When + copying custom Models, the users themselves are responsible for + [Model.metadata][google.cloud.aiplatform.v1.Model.metadata] + content to be region-agnostic, as well as making sure that any + resources (e.g. files) it depends on remain accessible. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_copy_model(): + # Create a client + client = aiplatform_v1.ModelServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.CopyModelRequest( + model_id="model_id_value", + parent="parent_value", + source_model="source_model_value", + ) + + # Make the request + operation = client.copy_model(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CopyModelRequest, dict]]): + The request object. Request message for + [ModelService.CopyModel][google.cloud.aiplatform.v1.ModelService.CopyModel]. + parent (:class:`str`): + Required. The resource name of the Location into which + to copy the Model. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + source_model (:class:`str`): + Required. The resource name of the Model to copy. That + Model must be in the same Project. Format: + ``projects/{project}/locations/{location}/models/{model}`` + + This corresponds to the ``source_model`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.CopyModelResponse` Response message of + [ModelService.CopyModel][google.cloud.aiplatform.v1.ModelService.CopyModel] + operation. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, source_model] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.CopyModelRequest): + request = model_service.CopyModelRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if source_model is not None: + request.source_model = source_model + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.copy_model + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + model_service.CopyModelResponse, + metadata_type=model_service.CopyModelOperationMetadata, + ) + + # Done; return the response. + return response + + async def import_model_evaluation( + self, + request: Optional[ + Union[model_service.ImportModelEvaluationRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + model_evaluation: Optional[gca_model_evaluation.ModelEvaluation] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_model_evaluation.ModelEvaluation: + r"""Imports an externally generated ModelEvaluation. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_import_model_evaluation(): + # Create a client + client = aiplatform_v1.ModelServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ImportModelEvaluationRequest( + parent="parent_value", + ) + + # Make the request + response = await client.import_model_evaluation(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ImportModelEvaluationRequest, dict]]): + The request object. Request message for + [ModelService.ImportModelEvaluation][google.cloud.aiplatform.v1.ModelService.ImportModelEvaluation] + parent (:class:`str`): + Required. The name of the parent model resource. Format: + ``projects/{project}/locations/{location}/models/{model}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + model_evaluation (:class:`google.cloud.aiplatform_v1.types.ModelEvaluation`): + Required. Model evaluation resource + to be imported. + + This corresponds to the ``model_evaluation`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.ModelEvaluation: + A collection of metrics calculated by + comparing Model's predictions on all of + the test data against annotations from + the test data. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, model_evaluation] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.ImportModelEvaluationRequest): + request = model_service.ImportModelEvaluationRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if model_evaluation is not None: + request.model_evaluation = model_evaluation + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.import_model_evaluation + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def batch_import_model_evaluation_slices( + self, + request: Optional[ + Union[model_service.BatchImportModelEvaluationSlicesRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + model_evaluation_slices: Optional[ + MutableSequence[model_evaluation_slice.ModelEvaluationSlice] + ] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> model_service.BatchImportModelEvaluationSlicesResponse: + r"""Imports a list of externally generated + ModelEvaluationSlice. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_batch_import_model_evaluation_slices(): + # Create a client + client = aiplatform_v1.ModelServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.BatchImportModelEvaluationSlicesRequest( + parent="parent_value", + ) + + # Make the request + response = await client.batch_import_model_evaluation_slices(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.BatchImportModelEvaluationSlicesRequest, dict]]): + The request object. Request message for + [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices] + parent (:class:`str`): + Required. The name of the parent ModelEvaluation + resource. Format: + ``projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + model_evaluation_slices (:class:`MutableSequence[google.cloud.aiplatform_v1.types.ModelEvaluationSlice]`): + Required. Model evaluation slice + resource to be imported. + + This corresponds to the ``model_evaluation_slices`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.BatchImportModelEvaluationSlicesResponse: + Response message for + [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices] + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, model_evaluation_slices] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, model_service.BatchImportModelEvaluationSlicesRequest + ): + request = model_service.BatchImportModelEvaluationSlicesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if model_evaluation_slices: + request.model_evaluation_slices.extend(model_evaluation_slices) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.batch_import_model_evaluation_slices + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def batch_import_evaluated_annotations( + self, + request: Optional[ + Union[model_service.BatchImportEvaluatedAnnotationsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + evaluated_annotations: Optional[ + MutableSequence[evaluated_annotation.EvaluatedAnnotation] + ] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> model_service.BatchImportEvaluatedAnnotationsResponse: + r"""Imports a list of externally generated + EvaluatedAnnotations. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_batch_import_evaluated_annotations(): + # Create a client + client = aiplatform_v1.ModelServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.BatchImportEvaluatedAnnotationsRequest( + parent="parent_value", + ) + + # Make the request + response = await client.batch_import_evaluated_annotations(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.BatchImportEvaluatedAnnotationsRequest, dict]]): + The request object. Request message for + [ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1.ModelService.BatchImportEvaluatedAnnotations] + parent (:class:`str`): + Required. The name of the parent ModelEvaluationSlice + resource. Format: + ``projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + evaluated_annotations (:class:`MutableSequence[google.cloud.aiplatform_v1.types.EvaluatedAnnotation]`): + Required. Evaluated annotations + resource to be imported. + + This corresponds to the ``evaluated_annotations`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.BatchImportEvaluatedAnnotationsResponse: + Response message for + [ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1.ModelService.BatchImportEvaluatedAnnotations] + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, evaluated_annotations] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, model_service.BatchImportEvaluatedAnnotationsRequest + ): + request = model_service.BatchImportEvaluatedAnnotationsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if evaluated_annotations: + request.evaluated_annotations.extend(evaluated_annotations) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.batch_import_evaluated_annotations + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_model_evaluation( + self, + request: Optional[Union[model_service.GetModelEvaluationRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> model_evaluation.ModelEvaluation: + r"""Gets a ModelEvaluation. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_model_evaluation(): + # Create a client + client = aiplatform_v1.ModelServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetModelEvaluationRequest( + name="name_value", + ) + + # Make the request + response = await client.get_model_evaluation(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetModelEvaluationRequest, dict]]): + The request object. Request message for + [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1.ModelService.GetModelEvaluation]. + name (:class:`str`): + Required. The name of the ModelEvaluation resource. + Format: + ``projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.ModelEvaluation: + A collection of metrics calculated by + comparing Model's predictions on all of + the test data against annotations from + the test data. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.GetModelEvaluationRequest): + request = model_service.GetModelEvaluationRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_model_evaluation + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_model_evaluations( + self, + request: Optional[ + Union[model_service.ListModelEvaluationsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListModelEvaluationsAsyncPager: + r"""Lists ModelEvaluations in a Model. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_model_evaluations(): + # Create a client + client = aiplatform_v1.ModelServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListModelEvaluationsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_model_evaluations(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListModelEvaluationsRequest, dict]]): + The request object. Request message for + [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations]. + parent (:class:`str`): + Required. The resource name of the Model to list the + ModelEvaluations from. Format: + ``projects/{project}/locations/{location}/models/{model}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.model_service.pagers.ListModelEvaluationsAsyncPager: + Response message for + [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.ListModelEvaluationsRequest): + request = model_service.ListModelEvaluationsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_model_evaluations + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListModelEvaluationsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_model_evaluation_slice( + self, + request: Optional[ + Union[model_service.GetModelEvaluationSliceRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> model_evaluation_slice.ModelEvaluationSlice: + r"""Gets a ModelEvaluationSlice. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_model_evaluation_slice(): + # Create a client + client = aiplatform_v1.ModelServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetModelEvaluationSliceRequest( + name="name_value", + ) + + # Make the request + response = await client.get_model_evaluation_slice(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetModelEvaluationSliceRequest, dict]]): + The request object. Request message for + [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1.ModelService.GetModelEvaluationSlice]. + name (:class:`str`): + Required. The name of the ModelEvaluationSlice resource. + Format: + ``projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.ModelEvaluationSlice: + A collection of metrics calculated by + comparing Model's predictions on a slice + of the test data against ground truth + annotations. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.GetModelEvaluationSliceRequest): + request = model_service.GetModelEvaluationSliceRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_model_evaluation_slice + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_model_evaluation_slices( + self, + request: Optional[ + Union[model_service.ListModelEvaluationSlicesRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListModelEvaluationSlicesAsyncPager: + r"""Lists ModelEvaluationSlices in a ModelEvaluation. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_model_evaluation_slices(): + # Create a client + client = aiplatform_v1.ModelServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListModelEvaluationSlicesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_model_evaluation_slices(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListModelEvaluationSlicesRequest, dict]]): + The request object. Request message for + [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]. + parent (:class:`str`): + Required. The resource name of the ModelEvaluation to + list the ModelEvaluationSlices from. Format: + ``projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.model_service.pagers.ListModelEvaluationSlicesAsyncPager: + Response message for + [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.ListModelEvaluationSlicesRequest): + request = model_service.ListModelEvaluationSlicesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_model_evaluation_slices + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListModelEvaluationSlicesAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[ + self._client._transport.test_iam_permissions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self) -> "ModelServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +__all__ = ("ModelServiceAsyncClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/model_service/client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/model_service/client.py new file mode 100644 index 0000000000000000000000000000000000000000..92a11847226e389571cf92d434988b2ef3f01bd9 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/model_service/client.py @@ -0,0 +1,4107 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from http import HTTPStatus +import json +import logging as std_logging +import os +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, + cast, +) +import warnings + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + +from google.cloud.aiplatform_v1.services.model_service import pagers +from google.cloud.aiplatform_v1.types import deployed_model_ref +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import evaluated_annotation +from google.cloud.aiplatform_v1.types import explanation +from google.cloud.aiplatform_v1.types import model +from google.cloud.aiplatform_v1.types import model as gca_model +from google.cloud.aiplatform_v1.types import model_evaluation +from google.cloud.aiplatform_v1.types import model_evaluation as gca_model_evaluation +from google.cloud.aiplatform_v1.types import model_evaluation_slice +from google.cloud.aiplatform_v1.types import model_service +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.struct_pb2 as struct_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +from .transports.base import ModelServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import ModelServiceGrpcTransport +from .transports.grpc_asyncio import ModelServiceGrpcAsyncIOTransport +from .transports.rest import ModelServiceRestTransport + +try: + from .transports.rest_asyncio import AsyncModelServiceRestTransport + + HAS_ASYNC_REST_DEPENDENCIES = True +except ImportError as e: # pragma: NO COVER + HAS_ASYNC_REST_DEPENDENCIES = False + ASYNC_REST_EXCEPTION = e + + +class ModelServiceClientMeta(type): + """Metaclass for the ModelService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + + _transport_registry = OrderedDict() # type: Dict[str, Type[ModelServiceTransport]] + _transport_registry["grpc"] = ModelServiceGrpcTransport + _transport_registry["grpc_asyncio"] = ModelServiceGrpcAsyncIOTransport + _transport_registry["rest"] = ModelServiceRestTransport + if HAS_ASYNC_REST_DEPENDENCIES: # pragma: NO COVER + _transport_registry["rest_asyncio"] = AsyncModelServiceRestTransport + + def get_transport_class( + cls, + label: Optional[str] = None, + ) -> Type[ModelServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if ( + label == "rest_asyncio" and not HAS_ASYNC_REST_DEPENDENCIES + ): # pragma: NO COVER + raise ASYNC_REST_EXCEPTION + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class ModelServiceClient(metaclass=ModelServiceClientMeta): + """A service for managing Vertex AI's machine learning Models.""" + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "aiplatform.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @staticmethod + def _use_client_cert_effective(): + """Returns whether client certificate should be used for mTLS if the + google-auth version supports should_use_client_cert automatic mTLS enablement. + + Alternatively, read from the GOOGLE_API_USE_CLIENT_CERTIFICATE env var. + + Returns: + bool: whether client certificate should be used for mTLS + Raises: + ValueError: (If using a version of google-auth without should_use_client_cert and + GOOGLE_API_USE_CLIENT_CERTIFICATE is set to an unexpected value.) + """ + # check if google-auth version supports should_use_client_cert for automatic mTLS enablement + if hasattr(mtls, "should_use_client_cert"): # pragma: NO COVER + return mtls.should_use_client_cert() + else: # pragma: NO COVER + # if unsupported, fallback to reading from env var + use_client_cert_str = os.getenv( + "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false" + ).lower() + if use_client_cert_str not in ("true", "false"): + raise ValueError( + "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be" + " either `true` or `false`" + ) + return use_client_cert_str == "true" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + ModelServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + ModelServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file(filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> ModelServiceTransport: + """Returns the transport used by the client instance. + + Returns: + ModelServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def endpoint_path( + project: str, + location: str, + endpoint: str, + ) -> str: + """Returns a fully-qualified endpoint string.""" + return "projects/{project}/locations/{location}/endpoints/{endpoint}".format( + project=project, + location=location, + endpoint=endpoint, + ) + + @staticmethod + def parse_endpoint_path(path: str) -> Dict[str, str]: + """Parses a endpoint path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/endpoints/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def model_path( + project: str, + location: str, + model: str, + ) -> str: + """Returns a fully-qualified model string.""" + return "projects/{project}/locations/{location}/models/{model}".format( + project=project, + location=location, + model=model, + ) + + @staticmethod + def parse_model_path(path: str) -> Dict[str, str]: + """Parses a model path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/models/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def model_evaluation_path( + project: str, + location: str, + model: str, + evaluation: str, + ) -> str: + """Returns a fully-qualified model_evaluation string.""" + return "projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}".format( + project=project, + location=location, + model=model, + evaluation=evaluation, + ) + + @staticmethod + def parse_model_evaluation_path(path: str) -> Dict[str, str]: + """Parses a model_evaluation path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/models/(?P.+?)/evaluations/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def model_evaluation_slice_path( + project: str, + location: str, + model: str, + evaluation: str, + slice: str, + ) -> str: + """Returns a fully-qualified model_evaluation_slice string.""" + return "projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}".format( + project=project, + location=location, + model=model, + evaluation=evaluation, + slice=slice, + ) + + @staticmethod + def parse_model_evaluation_slice_path(path: str) -> Dict[str, str]: + """Parses a model_evaluation_slice path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/models/(?P.+?)/evaluations/(?P.+?)/slices/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def pipeline_job_path( + project: str, + location: str, + pipeline_job: str, + ) -> str: + """Returns a fully-qualified pipeline_job string.""" + return "projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}".format( + project=project, + location=location, + pipeline_job=pipeline_job, + ) + + @staticmethod + def parse_pipeline_job_path(path: str) -> Dict[str, str]: + """Parses a pipeline_job path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/pipelineJobs/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def training_pipeline_path( + project: str, + location: str, + training_pipeline: str, + ) -> str: + """Returns a fully-qualified training_pipeline string.""" + return "projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}".format( + project=project, + location=location, + training_pipeline=training_pipeline, + ) + + @staticmethod + def parse_training_pipeline_path(path: str) -> Dict[str, str]: + """Parses a training_pipeline path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/trainingPipelines/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path( + billing_account: str, + ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format( + billing_account=billing_account, + ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str, str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path( + folder: str, + ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format( + folder=folder, + ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str, str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path( + organization: str, + ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format( + organization=organization, + ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str, str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path( + project: str, + ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format( + project=project, + ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str, str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path( + project: str, + location: str, + ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format( + project=project, + location=location, + ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str, str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[client_options_lib.ClientOptions] = None + ): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn( + "get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning, + ) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = ModelServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert: + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = ModelServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + return use_client_cert, use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint( + api_override, client_cert_source, universe_domain, use_mtls_endpoint + ): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + _default_universe = ModelServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError( + f"mTLS is not supported in any universe other than {_default_universe}." + ) + api_endpoint = ModelServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = ModelServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format( + UNIVERSE_DOMAIN=universe_domain + ) + return api_endpoint + + @staticmethod + def _get_universe_domain( + client_universe_domain: Optional[str], universe_domain_env: Optional[str] + ) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = ModelServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + + # NOTE (b/349488459): universe validation is disabled until further notice. + return True + + def _add_cred_info_for_auth_errors( + self, error: core_exceptions.GoogleAPICallError + ) -> None: + """Adds credential info string to error details for 401/403/404 errors. + + Args: + error (google.api_core.exceptions.GoogleAPICallError): The error to add the cred info. + """ + if error.code not in [ + HTTPStatus.UNAUTHORIZED, + HTTPStatus.FORBIDDEN, + HTTPStatus.NOT_FOUND, + ]: + return + + cred = self._transport._credentials + + # get_cred_info is only available in google-auth>=2.35.0 + if not hasattr(cred, "get_cred_info"): + return + + # ignore the type check since pypy test fails when get_cred_info + # is not available + cred_info = cred.get_cred_info() # type: ignore + if cred_info and hasattr(error._details, "append"): + error._details.append(json.dumps(cred_info)) + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[str, ModelServiceTransport, Callable[..., ModelServiceTransport]] + ] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the model service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,ModelServiceTransport,Callable[..., ModelServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the ModelServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast( + client_options_lib.ClientOptions, self._client_options + ) + + universe_domain_opt = getattr(self._client_options, "universe_domain", None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = ( + ModelServiceClient._read_environment_variables() + ) + self._client_cert_source = ModelServiceClient._get_client_cert_source( + self._client_options.client_cert_source, self._use_client_cert + ) + self._universe_domain = ModelServiceClient._get_universe_domain( + universe_domain_opt, self._universe_domain_env + ) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + if CLIENT_LOGGING_SUPPORTED: # pragma: NO COVER + # Setup logging. + client_logging.initialize_logging() + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError( + "client_options.api_key and credentials are mutually exclusive" + ) + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance(transport, ModelServiceTransport) + if transport_provided: + # transport is a ModelServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError( + "When providing a transport instance, " + "provide its credentials directly." + ) + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(ModelServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = self._api_endpoint or ModelServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint, + ) + + if not transport_provided: + transport_init: Union[ + Type[ModelServiceTransport], Callable[..., ModelServiceTransport] + ] = ( + ModelServiceClient.get_transport_class(transport) + if isinstance(transport, str) or transport is None + else cast(Callable[..., ModelServiceTransport], transport) + ) + + if "rest_asyncio" in str(transport_init): + unsupported_params = { + "google.api_core.client_options.ClientOptions.credentials_file": self._client_options.credentials_file, + "google.api_core.client_options.ClientOptions.scopes": self._client_options.scopes, + "google.api_core.client_options.ClientOptions.quota_project_id": self._client_options.quota_project_id, + "google.api_core.client_options.ClientOptions.client_cert_source": self._client_options.client_cert_source, + "google.api_core.client_options.ClientOptions.api_audience": self._client_options.api_audience, + } + provided_unsupported_params = [ + name + for name, value in unsupported_params.items() + if value is not None + ] + if provided_unsupported_params: + raise core_exceptions.AsyncRestUnsupportedParameterError( # type: ignore + f"The following provided parameters are not supported for `transport=rest_asyncio`: {', '.join(provided_unsupported_params)}" + ) + self._transport = transport_init( + credentials=credentials, + host=self._api_endpoint, + client_info=client_info, + ) + return + + import google.auth._default # type: ignore + + if api_key_value and hasattr( + google.auth._default, "get_api_key_credentials" + ): + credentials = google.auth._default.get_api_key_credentials( + api_key_value + ) + + # initialize with the provided callable or the passed in class + self._transport = transport_init( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + if "async" not in str(self._transport): + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.ModelServiceClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.ModelService", + "universeDomain": getattr( + self._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._transport._credentials).__module__}.{type(self._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, + "get_cred_info", + lambda: None, + )(), + } + if hasattr(self._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.ModelService", + "credentialsType": None, + } + ), + ) + + def upload_model( + self, + request: Optional[Union[model_service.UploadModelRequest, dict]] = None, + *, + parent: Optional[str] = None, + model: Optional[gca_model.Model] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Uploads a Model artifact into Vertex AI. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_upload_model(): + # Create a client + client = aiplatform_v1.ModelServiceClient() + + # Initialize request argument(s) + model = aiplatform_v1.Model() + model.display_name = "display_name_value" + + request = aiplatform_v1.UploadModelRequest( + parent="parent_value", + model=model, + ) + + # Make the request + operation = client.upload_model(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UploadModelRequest, dict]): + The request object. Request message for + [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel]. + parent (str): + Required. The resource name of the Location into which + to upload the Model. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + model (google.cloud.aiplatform_v1.types.Model): + Required. The Model to create. + This corresponds to the ``model`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.UploadModelResponse` Response message of + [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] + operation. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, model] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.UploadModelRequest): + request = model_service.UploadModelRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if model is not None: + request.model = model + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.upload_model] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + model_service.UploadModelResponse, + metadata_type=model_service.UploadModelOperationMetadata, + ) + + # Done; return the response. + return response + + def get_model( + self, + request: Optional[Union[model_service.GetModelRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> model.Model: + r"""Gets a Model. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_model(): + # Create a client + client = aiplatform_v1.ModelServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetModelRequest( + name="name_value", + ) + + # Make the request + response = client.get_model(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetModelRequest, dict]): + The request object. Request message for + [ModelService.GetModel][google.cloud.aiplatform.v1.ModelService.GetModel]. + name (str): + Required. The name of the Model resource. Format: + ``projects/{project}/locations/{location}/models/{model}`` + + In order to retrieve a specific version of the model, + also provide the version ID or version alias. Example: + ``projects/{project}/locations/{location}/models/{model}@2`` + or + ``projects/{project}/locations/{location}/models/{model}@golden`` + If no version ID or alias is specified, the "default" + version will be returned. The "default" version alias is + created for the first version of the model, and can be + moved to other versions later on. There will be exactly + one default version. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Model: + A trained machine learning Model. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.GetModelRequest): + request = model_service.GetModelRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_model] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_models( + self, + request: Optional[Union[model_service.ListModelsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListModelsPager: + r"""Lists Models in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_models(): + # Create a client + client = aiplatform_v1.ModelServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListModelsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_models(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListModelsRequest, dict]): + The request object. Request message for + [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]. + parent (str): + Required. The resource name of the Location to list the + Models from. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.model_service.pagers.ListModelsPager: + Response message for + [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels] + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.ListModelsRequest): + request = model_service.ListModelsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_models] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListModelsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_model_versions( + self, + request: Optional[Union[model_service.ListModelVersionsRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListModelVersionsPager: + r"""Lists versions of the specified model. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_model_versions(): + # Create a client + client = aiplatform_v1.ModelServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListModelVersionsRequest( + name="name_value", + ) + + # Make the request + page_result = client.list_model_versions(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListModelVersionsRequest, dict]): + The request object. Request message for + [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions]. + name (str): + Required. The name of the model to + list versions for. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.model_service.pagers.ListModelVersionsPager: + Response message for + [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions] + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.ListModelVersionsRequest): + request = model_service.ListModelVersionsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_model_versions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListModelVersionsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_model_version_checkpoints( + self, + request: Optional[ + Union[model_service.ListModelVersionCheckpointsRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListModelVersionCheckpointsPager: + r"""Lists checkpoints of the specified model version. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_model_version_checkpoints(): + # Create a client + client = aiplatform_v1.ModelServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListModelVersionCheckpointsRequest( + name="name_value", + ) + + # Make the request + page_result = client.list_model_version_checkpoints(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListModelVersionCheckpointsRequest, dict]): + The request object. Request message for + [ModelService.ListModelVersionCheckpoints][google.cloud.aiplatform.v1.ModelService.ListModelVersionCheckpoints]. + name (str): + Required. The name of the model version to list + checkpoints for. + ``projects/{project}/locations/{location}/models/{model}@{version}`` + Example: + ``projects/{project}/locations/{location}/models/{model}@2`` + or + ``projects/{project}/locations/{location}/models/{model}@golden`` + If no version ID or alias is specified, the latest + version will be used. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.model_service.pagers.ListModelVersionCheckpointsPager: + Response message for + [ModelService.ListModelVersionCheckpoints][google.cloud.aiplatform.v1.ModelService.ListModelVersionCheckpoints] + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.ListModelVersionCheckpointsRequest): + request = model_service.ListModelVersionCheckpointsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.list_model_version_checkpoints + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListModelVersionCheckpointsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def update_model( + self, + request: Optional[Union[model_service.UpdateModelRequest, dict]] = None, + *, + model: Optional[gca_model.Model] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_model.Model: + r"""Updates a Model. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_update_model(): + # Create a client + client = aiplatform_v1.ModelServiceClient() + + # Initialize request argument(s) + model = aiplatform_v1.Model() + model.display_name = "display_name_value" + + request = aiplatform_v1.UpdateModelRequest( + model=model, + ) + + # Make the request + response = client.update_model(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UpdateModelRequest, dict]): + The request object. Request message for + [ModelService.UpdateModel][google.cloud.aiplatform.v1.ModelService.UpdateModel]. + model (google.cloud.aiplatform_v1.types.Model): + Required. The Model which replaces the resource on the + server. When Model Versioning is enabled, the model.name + will be used to determine whether to update the model or + model version. + + 1. model.name with the @ value, e.g. models/123@1, + refers to a version specific update. + 2. model.name without the @ value, e.g. models/123, + refers to a model update. + 3. model.name with @-, e.g. models/123@-, refers to a + model update. + 4. Supported model fields: display_name, description; + supported version-specific fields: + version_description. Labels are supported in both + scenarios. Both the model labels and the version + labels are merged when a model is returned. When + updating labels, if the request is for model-specific + update, model label gets updated. Otherwise, version + labels get updated. + 5. A model name or model version name fields update + mismatch will cause a precondition error. + 6. One request cannot update both the model and the + version fields. You must update them separately. + + This corresponds to the ``model`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Required. The update mask applies to the resource. For + the ``FieldMask`` definition, see + [google.protobuf.FieldMask][google.protobuf.FieldMask]. + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Model: + A trained machine learning Model. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [model, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.UpdateModelRequest): + request = model_service.UpdateModelRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if model is not None: + request.model = model + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.update_model] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("model.name", request.model.name),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def update_explanation_dataset( + self, + request: Optional[ + Union[model_service.UpdateExplanationDatasetRequest, dict] + ] = None, + *, + model: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Incrementally update the dataset used for an examples + model. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_update_explanation_dataset(): + # Create a client + client = aiplatform_v1.ModelServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.UpdateExplanationDatasetRequest( + model="model_value", + ) + + # Make the request + operation = client.update_explanation_dataset(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UpdateExplanationDatasetRequest, dict]): + The request object. Request message for + [ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1.ModelService.UpdateExplanationDataset]. + model (str): + Required. The resource name of the Model to update. + Format: + ``projects/{project}/locations/{location}/models/{model}`` + + This corresponds to the ``model`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.UpdateExplanationDatasetResponse` Response message of + [ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1.ModelService.UpdateExplanationDataset] + operation. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [model] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.UpdateExplanationDatasetRequest): + request = model_service.UpdateExplanationDatasetRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if model is not None: + request.model = model + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.update_explanation_dataset + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("model", request.model),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + model_service.UpdateExplanationDatasetResponse, + metadata_type=model_service.UpdateExplanationDatasetOperationMetadata, + ) + + # Done; return the response. + return response + + def delete_model( + self, + request: Optional[Union[model_service.DeleteModelRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes a Model. + + A model cannot be deleted if any + [Endpoint][google.cloud.aiplatform.v1.Endpoint] resource has a + [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] based + on the model in its + [deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] + field. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_model(): + # Create a client + client = aiplatform_v1.ModelServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteModelRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_model(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteModelRequest, dict]): + The request object. Request message for + [ModelService.DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel]. + name (str): + Required. The name of the Model resource to be deleted. + Format: + ``projects/{project}/locations/{location}/models/{model}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.DeleteModelRequest): + request = model_service.DeleteModelRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_model] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def delete_model_version( + self, + request: Optional[Union[model_service.DeleteModelVersionRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes a Model version. + + Model version can only be deleted if there are no + [DeployedModels][google.cloud.aiplatform.v1.DeployedModel] + created from it. Deleting the only version in the Model is not + allowed. Use + [DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel] + for deleting the Model instead. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_model_version(): + # Create a client + client = aiplatform_v1.ModelServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteModelVersionRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_model_version(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteModelVersionRequest, dict]): + The request object. Request message for + [ModelService.DeleteModelVersion][google.cloud.aiplatform.v1.ModelService.DeleteModelVersion]. + name (str): + Required. The name of the model version to be deleted, + with a version ID explicitly included. + + Example: + ``projects/{project}/locations/{location}/models/{model}@1234`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.DeleteModelVersionRequest): + request = model_service.DeleteModelVersionRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_model_version] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def merge_version_aliases( + self, + request: Optional[Union[model_service.MergeVersionAliasesRequest, dict]] = None, + *, + name: Optional[str] = None, + version_aliases: Optional[MutableSequence[str]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> model.Model: + r"""Merges a set of aliases for a Model version. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_merge_version_aliases(): + # Create a client + client = aiplatform_v1.ModelServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.MergeVersionAliasesRequest( + name="name_value", + version_aliases=['version_aliases_value1', 'version_aliases_value2'], + ) + + # Make the request + response = client.merge_version_aliases(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.MergeVersionAliasesRequest, dict]): + The request object. Request message for + [ModelService.MergeVersionAliases][google.cloud.aiplatform.v1.ModelService.MergeVersionAliases]. + name (str): + Required. The name of the model version to merge + aliases, with a version ID explicitly included. + + Example: + ``projects/{project}/locations/{location}/models/{model}@1234`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + version_aliases (MutableSequence[str]): + Required. The set of version aliases to merge. The alias + should be at most 128 characters, and match + ``[a-z][a-zA-Z0-9-]{0,126}[a-z-0-9]``. Add the ``-`` + prefix to an alias means removing that alias from the + version. ``-`` is NOT counted in the 128 characters. + Example: ``-golden`` means removing the ``golden`` alias + from the version. + + There is NO ordering in aliases, which means + + 1) The aliases returned from GetModel API might not have + the exactly same order from this MergeVersionAliases + API. 2) Adding and deleting the same alias in the + request is not recommended, and the 2 operations will + be cancelled out. + + This corresponds to the ``version_aliases`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.Model: + A trained machine learning Model. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name, version_aliases] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.MergeVersionAliasesRequest): + request = model_service.MergeVersionAliasesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if version_aliases is not None: + request.version_aliases = version_aliases + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.merge_version_aliases] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def export_model( + self, + request: Optional[Union[model_service.ExportModelRequest, dict]] = None, + *, + name: Optional[str] = None, + output_config: Optional[model_service.ExportModelRequest.OutputConfig] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Exports a trained, exportable Model to a location specified by + the user. A Model is considered to be exportable if it has at + least one [supported export + format][google.cloud.aiplatform.v1.Model.supported_export_formats]. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_export_model(): + # Create a client + client = aiplatform_v1.ModelServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ExportModelRequest( + name="name_value", + ) + + # Make the request + operation = client.export_model(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ExportModelRequest, dict]): + The request object. Request message for + [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel]. + name (str): + Required. The resource name of the + Model to export. The resource name may + contain version id or version alias to + specify the version, if no version is + specified, the default version will be + exported. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + output_config (google.cloud.aiplatform_v1.types.ExportModelRequest.OutputConfig): + Required. The desired output location + and configuration. + + This corresponds to the ``output_config`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.ExportModelResponse` Response message of + [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] + operation. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name, output_config] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.ExportModelRequest): + request = model_service.ExportModelRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if output_config is not None: + request.output_config = output_config + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.export_model] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + model_service.ExportModelResponse, + metadata_type=model_service.ExportModelOperationMetadata, + ) + + # Done; return the response. + return response + + def copy_model( + self, + request: Optional[Union[model_service.CopyModelRequest, dict]] = None, + *, + parent: Optional[str] = None, + source_model: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Copies an already existing Vertex AI Model into the specified + Location. The source Model must exist in the same Project. When + copying custom Models, the users themselves are responsible for + [Model.metadata][google.cloud.aiplatform.v1.Model.metadata] + content to be region-agnostic, as well as making sure that any + resources (e.g. files) it depends on remain accessible. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_copy_model(): + # Create a client + client = aiplatform_v1.ModelServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.CopyModelRequest( + model_id="model_id_value", + parent="parent_value", + source_model="source_model_value", + ) + + # Make the request + operation = client.copy_model(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CopyModelRequest, dict]): + The request object. Request message for + [ModelService.CopyModel][google.cloud.aiplatform.v1.ModelService.CopyModel]. + parent (str): + Required. The resource name of the Location into which + to copy the Model. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + source_model (str): + Required. The resource name of the Model to copy. That + Model must be in the same Project. Format: + ``projects/{project}/locations/{location}/models/{model}`` + + This corresponds to the ``source_model`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.CopyModelResponse` Response message of + [ModelService.CopyModel][google.cloud.aiplatform.v1.ModelService.CopyModel] + operation. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, source_model] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.CopyModelRequest): + request = model_service.CopyModelRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if source_model is not None: + request.source_model = source_model + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.copy_model] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + model_service.CopyModelResponse, + metadata_type=model_service.CopyModelOperationMetadata, + ) + + # Done; return the response. + return response + + def import_model_evaluation( + self, + request: Optional[ + Union[model_service.ImportModelEvaluationRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + model_evaluation: Optional[gca_model_evaluation.ModelEvaluation] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_model_evaluation.ModelEvaluation: + r"""Imports an externally generated ModelEvaluation. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_import_model_evaluation(): + # Create a client + client = aiplatform_v1.ModelServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ImportModelEvaluationRequest( + parent="parent_value", + ) + + # Make the request + response = client.import_model_evaluation(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ImportModelEvaluationRequest, dict]): + The request object. Request message for + [ModelService.ImportModelEvaluation][google.cloud.aiplatform.v1.ModelService.ImportModelEvaluation] + parent (str): + Required. The name of the parent model resource. Format: + ``projects/{project}/locations/{location}/models/{model}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + model_evaluation (google.cloud.aiplatform_v1.types.ModelEvaluation): + Required. Model evaluation resource + to be imported. + + This corresponds to the ``model_evaluation`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.ModelEvaluation: + A collection of metrics calculated by + comparing Model's predictions on all of + the test data against annotations from + the test data. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, model_evaluation] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.ImportModelEvaluationRequest): + request = model_service.ImportModelEvaluationRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if model_evaluation is not None: + request.model_evaluation = model_evaluation + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.import_model_evaluation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def batch_import_model_evaluation_slices( + self, + request: Optional[ + Union[model_service.BatchImportModelEvaluationSlicesRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + model_evaluation_slices: Optional[ + MutableSequence[model_evaluation_slice.ModelEvaluationSlice] + ] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> model_service.BatchImportModelEvaluationSlicesResponse: + r"""Imports a list of externally generated + ModelEvaluationSlice. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_batch_import_model_evaluation_slices(): + # Create a client + client = aiplatform_v1.ModelServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.BatchImportModelEvaluationSlicesRequest( + parent="parent_value", + ) + + # Make the request + response = client.batch_import_model_evaluation_slices(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.BatchImportModelEvaluationSlicesRequest, dict]): + The request object. Request message for + [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices] + parent (str): + Required. The name of the parent ModelEvaluation + resource. Format: + ``projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + model_evaluation_slices (MutableSequence[google.cloud.aiplatform_v1.types.ModelEvaluationSlice]): + Required. Model evaluation slice + resource to be imported. + + This corresponds to the ``model_evaluation_slices`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.BatchImportModelEvaluationSlicesResponse: + Response message for + [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices] + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, model_evaluation_slices] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, model_service.BatchImportModelEvaluationSlicesRequest + ): + request = model_service.BatchImportModelEvaluationSlicesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if model_evaluation_slices is not None: + request.model_evaluation_slices = model_evaluation_slices + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.batch_import_model_evaluation_slices + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def batch_import_evaluated_annotations( + self, + request: Optional[ + Union[model_service.BatchImportEvaluatedAnnotationsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + evaluated_annotations: Optional[ + MutableSequence[evaluated_annotation.EvaluatedAnnotation] + ] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> model_service.BatchImportEvaluatedAnnotationsResponse: + r"""Imports a list of externally generated + EvaluatedAnnotations. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_batch_import_evaluated_annotations(): + # Create a client + client = aiplatform_v1.ModelServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.BatchImportEvaluatedAnnotationsRequest( + parent="parent_value", + ) + + # Make the request + response = client.batch_import_evaluated_annotations(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.BatchImportEvaluatedAnnotationsRequest, dict]): + The request object. Request message for + [ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1.ModelService.BatchImportEvaluatedAnnotations] + parent (str): + Required. The name of the parent ModelEvaluationSlice + resource. Format: + ``projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + evaluated_annotations (MutableSequence[google.cloud.aiplatform_v1.types.EvaluatedAnnotation]): + Required. Evaluated annotations + resource to be imported. + + This corresponds to the ``evaluated_annotations`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.BatchImportEvaluatedAnnotationsResponse: + Response message for + [ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1.ModelService.BatchImportEvaluatedAnnotations] + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, evaluated_annotations] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, model_service.BatchImportEvaluatedAnnotationsRequest + ): + request = model_service.BatchImportEvaluatedAnnotationsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if evaluated_annotations is not None: + request.evaluated_annotations = evaluated_annotations + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.batch_import_evaluated_annotations + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def get_model_evaluation( + self, + request: Optional[Union[model_service.GetModelEvaluationRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> model_evaluation.ModelEvaluation: + r"""Gets a ModelEvaluation. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_model_evaluation(): + # Create a client + client = aiplatform_v1.ModelServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetModelEvaluationRequest( + name="name_value", + ) + + # Make the request + response = client.get_model_evaluation(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetModelEvaluationRequest, dict]): + The request object. Request message for + [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1.ModelService.GetModelEvaluation]. + name (str): + Required. The name of the ModelEvaluation resource. + Format: + ``projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.ModelEvaluation: + A collection of metrics calculated by + comparing Model's predictions on all of + the test data against annotations from + the test data. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.GetModelEvaluationRequest): + request = model_service.GetModelEvaluationRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_model_evaluation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_model_evaluations( + self, + request: Optional[ + Union[model_service.ListModelEvaluationsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListModelEvaluationsPager: + r"""Lists ModelEvaluations in a Model. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_model_evaluations(): + # Create a client + client = aiplatform_v1.ModelServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListModelEvaluationsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_model_evaluations(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListModelEvaluationsRequest, dict]): + The request object. Request message for + [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations]. + parent (str): + Required. The resource name of the Model to list the + ModelEvaluations from. Format: + ``projects/{project}/locations/{location}/models/{model}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.model_service.pagers.ListModelEvaluationsPager: + Response message for + [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.ListModelEvaluationsRequest): + request = model_service.ListModelEvaluationsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_model_evaluations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListModelEvaluationsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def get_model_evaluation_slice( + self, + request: Optional[ + Union[model_service.GetModelEvaluationSliceRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> model_evaluation_slice.ModelEvaluationSlice: + r"""Gets a ModelEvaluationSlice. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_model_evaluation_slice(): + # Create a client + client = aiplatform_v1.ModelServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetModelEvaluationSliceRequest( + name="name_value", + ) + + # Make the request + response = client.get_model_evaluation_slice(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetModelEvaluationSliceRequest, dict]): + The request object. Request message for + [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1.ModelService.GetModelEvaluationSlice]. + name (str): + Required. The name of the ModelEvaluationSlice resource. + Format: + ``projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.ModelEvaluationSlice: + A collection of metrics calculated by + comparing Model's predictions on a slice + of the test data against ground truth + annotations. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.GetModelEvaluationSliceRequest): + request = model_service.GetModelEvaluationSliceRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.get_model_evaluation_slice + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_model_evaluation_slices( + self, + request: Optional[ + Union[model_service.ListModelEvaluationSlicesRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListModelEvaluationSlicesPager: + r"""Lists ModelEvaluationSlices in a ModelEvaluation. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_model_evaluation_slices(): + # Create a client + client = aiplatform_v1.ModelServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListModelEvaluationSlicesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_model_evaluation_slices(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListModelEvaluationSlicesRequest, dict]): + The request object. Request message for + [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]. + parent (str): + Required. The resource name of the ModelEvaluation to + list the ModelEvaluationSlices from. Format: + ``projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.model_service.pagers.ListModelEvaluationSlicesPager: + Response message for + [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, model_service.ListModelEvaluationSlicesRequest): + request = model_service.ListModelEvaluationSlicesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.list_model_evaluation_slices + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListModelEvaluationSlicesPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def __enter__(self) -> "ModelServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + +__all__ = ("ModelServiceClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/model_service/pagers.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/model_service/pagers.py new file mode 100644 index 0000000000000000000000000000000000000000..9041f8288b380d85777b46e6fa4893f63a63426f --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/model_service/pagers.py @@ -0,0 +1,831 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import retry_async as retries_async +from typing import ( + Any, + AsyncIterator, + Awaitable, + Callable, + Sequence, + Tuple, + Optional, + Iterator, + Union, +) + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] + OptionalAsyncRetry = Union[ + retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None + ] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.types import model +from google.cloud.aiplatform_v1.types import model_evaluation +from google.cloud.aiplatform_v1.types import model_evaluation_slice +from google.cloud.aiplatform_v1.types import model_service + + +class ListModelsPager: + """A pager for iterating through ``list_models`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListModelsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``models`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListModels`` requests and continue to iterate + through the ``models`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListModelsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., model_service.ListModelsResponse], + request: model_service.ListModelsRequest, + response: model_service.ListModelsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListModelsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListModelsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = model_service.ListModelsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[model_service.ListModelsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[model.Model]: + for page in self.pages: + yield from page.models + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListModelsAsyncPager: + """A pager for iterating through ``list_models`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListModelsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``models`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListModels`` requests and continue to iterate + through the ``models`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListModelsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[model_service.ListModelsResponse]], + request: model_service.ListModelsRequest, + response: model_service.ListModelsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListModelsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListModelsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = model_service.ListModelsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[model_service.ListModelsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[model.Model]: + async def async_generator(): + async for page in self.pages: + for response in page.models: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListModelVersionsPager: + """A pager for iterating through ``list_model_versions`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListModelVersionsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``models`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListModelVersions`` requests and continue to iterate + through the ``models`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListModelVersionsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., model_service.ListModelVersionsResponse], + request: model_service.ListModelVersionsRequest, + response: model_service.ListModelVersionsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListModelVersionsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListModelVersionsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = model_service.ListModelVersionsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[model_service.ListModelVersionsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[model.Model]: + for page in self.pages: + yield from page.models + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListModelVersionsAsyncPager: + """A pager for iterating through ``list_model_versions`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListModelVersionsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``models`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListModelVersions`` requests and continue to iterate + through the ``models`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListModelVersionsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[model_service.ListModelVersionsResponse]], + request: model_service.ListModelVersionsRequest, + response: model_service.ListModelVersionsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListModelVersionsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListModelVersionsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = model_service.ListModelVersionsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[model_service.ListModelVersionsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[model.Model]: + async def async_generator(): + async for page in self.pages: + for response in page.models: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListModelVersionCheckpointsPager: + """A pager for iterating through ``list_model_version_checkpoints`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListModelVersionCheckpointsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``checkpoints`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListModelVersionCheckpoints`` requests and continue to iterate + through the ``checkpoints`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListModelVersionCheckpointsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., model_service.ListModelVersionCheckpointsResponse], + request: model_service.ListModelVersionCheckpointsRequest, + response: model_service.ListModelVersionCheckpointsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListModelVersionCheckpointsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListModelVersionCheckpointsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = model_service.ListModelVersionCheckpointsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[model_service.ListModelVersionCheckpointsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[model_service.ModelVersionCheckpoint]: + for page in self.pages: + yield from page.checkpoints + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListModelVersionCheckpointsAsyncPager: + """A pager for iterating through ``list_model_version_checkpoints`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListModelVersionCheckpointsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``checkpoints`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListModelVersionCheckpoints`` requests and continue to iterate + through the ``checkpoints`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListModelVersionCheckpointsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[ + ..., Awaitable[model_service.ListModelVersionCheckpointsResponse] + ], + request: model_service.ListModelVersionCheckpointsRequest, + response: model_service.ListModelVersionCheckpointsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListModelVersionCheckpointsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListModelVersionCheckpointsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = model_service.ListModelVersionCheckpointsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages( + self, + ) -> AsyncIterator[model_service.ListModelVersionCheckpointsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[model_service.ModelVersionCheckpoint]: + async def async_generator(): + async for page in self.pages: + for response in page.checkpoints: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListModelEvaluationsPager: + """A pager for iterating through ``list_model_evaluations`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListModelEvaluationsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``model_evaluations`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListModelEvaluations`` requests and continue to iterate + through the ``model_evaluations`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListModelEvaluationsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., model_service.ListModelEvaluationsResponse], + request: model_service.ListModelEvaluationsRequest, + response: model_service.ListModelEvaluationsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListModelEvaluationsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListModelEvaluationsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = model_service.ListModelEvaluationsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[model_service.ListModelEvaluationsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[model_evaluation.ModelEvaluation]: + for page in self.pages: + yield from page.model_evaluations + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListModelEvaluationsAsyncPager: + """A pager for iterating through ``list_model_evaluations`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListModelEvaluationsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``model_evaluations`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListModelEvaluations`` requests and continue to iterate + through the ``model_evaluations`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListModelEvaluationsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[model_service.ListModelEvaluationsResponse]], + request: model_service.ListModelEvaluationsRequest, + response: model_service.ListModelEvaluationsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListModelEvaluationsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListModelEvaluationsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = model_service.ListModelEvaluationsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[model_service.ListModelEvaluationsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[model_evaluation.ModelEvaluation]: + async def async_generator(): + async for page in self.pages: + for response in page.model_evaluations: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListModelEvaluationSlicesPager: + """A pager for iterating through ``list_model_evaluation_slices`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListModelEvaluationSlicesResponse` object, and + provides an ``__iter__`` method to iterate through its + ``model_evaluation_slices`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListModelEvaluationSlices`` requests and continue to iterate + through the ``model_evaluation_slices`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListModelEvaluationSlicesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., model_service.ListModelEvaluationSlicesResponse], + request: model_service.ListModelEvaluationSlicesRequest, + response: model_service.ListModelEvaluationSlicesResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListModelEvaluationSlicesRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListModelEvaluationSlicesResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = model_service.ListModelEvaluationSlicesRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[model_service.ListModelEvaluationSlicesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[model_evaluation_slice.ModelEvaluationSlice]: + for page in self.pages: + yield from page.model_evaluation_slices + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListModelEvaluationSlicesAsyncPager: + """A pager for iterating through ``list_model_evaluation_slices`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListModelEvaluationSlicesResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``model_evaluation_slices`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListModelEvaluationSlices`` requests and continue to iterate + through the ``model_evaluation_slices`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListModelEvaluationSlicesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[ + ..., Awaitable[model_service.ListModelEvaluationSlicesResponse] + ], + request: model_service.ListModelEvaluationSlicesRequest, + response: model_service.ListModelEvaluationSlicesResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListModelEvaluationSlicesRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListModelEvaluationSlicesResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = model_service.ListModelEvaluationSlicesRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages( + self, + ) -> AsyncIterator[model_service.ListModelEvaluationSlicesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[model_evaluation_slice.ModelEvaluationSlice]: + async def async_generator(): + async for page in self.pages: + for response in page.model_evaluation_slices: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/notebook_service/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/notebook_service/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..2cb87d3354e48b3602c327925d974da37fcb341b --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/notebook_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import NotebookServiceClient +from .async_client import NotebookServiceAsyncClient + +__all__ = ( + "NotebookServiceClient", + "NotebookServiceAsyncClient", +) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/notebook_service/async_client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/notebook_service/async_client.py new file mode 100644 index 0000000000000000000000000000000000000000..d165cc15b0ba7583cc206c25debd38077864ffe9 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/notebook_service/async_client.py @@ -0,0 +1,3257 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging as std_logging +from collections import OrderedDict +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, +) + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.services.notebook_service import pagers +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import job_state +from google.cloud.aiplatform_v1.types import machine_resources +from google.cloud.aiplatform_v1.types import network_spec +from google.cloud.aiplatform_v1.types import notebook_euc_config +from google.cloud.aiplatform_v1.types import notebook_execution_job +from google.cloud.aiplatform_v1.types import ( + notebook_execution_job as gca_notebook_execution_job, +) +from google.cloud.aiplatform_v1.types import notebook_idle_shutdown_config +from google.cloud.aiplatform_v1.types import notebook_runtime +from google.cloud.aiplatform_v1.types import notebook_runtime as gca_notebook_runtime +from google.cloud.aiplatform_v1.types import notebook_runtime_template_ref +from google.cloud.aiplatform_v1.types import notebook_service +from google.cloud.aiplatform_v1.types import notebook_software_config +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.duration_pb2 as duration_pb2 # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +import google.rpc.status_pb2 as status_pb2 # type: ignore +from .transports.base import NotebookServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import NotebookServiceGrpcAsyncIOTransport +from .client import NotebookServiceClient + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class NotebookServiceAsyncClient: + """The interface for Vertex Notebook service (a.k.a. Colab on + Workbench). + """ + + _client: NotebookServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = NotebookServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = NotebookServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = NotebookServiceClient._DEFAULT_ENDPOINT_TEMPLATE + _DEFAULT_UNIVERSE = NotebookServiceClient._DEFAULT_UNIVERSE + + network_path = staticmethod(NotebookServiceClient.network_path) + parse_network_path = staticmethod(NotebookServiceClient.parse_network_path) + notebook_execution_job_path = staticmethod( + NotebookServiceClient.notebook_execution_job_path + ) + parse_notebook_execution_job_path = staticmethod( + NotebookServiceClient.parse_notebook_execution_job_path + ) + notebook_runtime_path = staticmethod(NotebookServiceClient.notebook_runtime_path) + parse_notebook_runtime_path = staticmethod( + NotebookServiceClient.parse_notebook_runtime_path + ) + notebook_runtime_template_path = staticmethod( + NotebookServiceClient.notebook_runtime_template_path + ) + parse_notebook_runtime_template_path = staticmethod( + NotebookServiceClient.parse_notebook_runtime_template_path + ) + reservation_path = staticmethod(NotebookServiceClient.reservation_path) + parse_reservation_path = staticmethod(NotebookServiceClient.parse_reservation_path) + schedule_path = staticmethod(NotebookServiceClient.schedule_path) + parse_schedule_path = staticmethod(NotebookServiceClient.parse_schedule_path) + subnetwork_path = staticmethod(NotebookServiceClient.subnetwork_path) + parse_subnetwork_path = staticmethod(NotebookServiceClient.parse_subnetwork_path) + common_billing_account_path = staticmethod( + NotebookServiceClient.common_billing_account_path + ) + parse_common_billing_account_path = staticmethod( + NotebookServiceClient.parse_common_billing_account_path + ) + common_folder_path = staticmethod(NotebookServiceClient.common_folder_path) + parse_common_folder_path = staticmethod( + NotebookServiceClient.parse_common_folder_path + ) + common_organization_path = staticmethod( + NotebookServiceClient.common_organization_path + ) + parse_common_organization_path = staticmethod( + NotebookServiceClient.parse_common_organization_path + ) + common_project_path = staticmethod(NotebookServiceClient.common_project_path) + parse_common_project_path = staticmethod( + NotebookServiceClient.parse_common_project_path + ) + common_location_path = staticmethod(NotebookServiceClient.common_location_path) + parse_common_location_path = staticmethod( + NotebookServiceClient.parse_common_location_path + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + NotebookServiceAsyncClient: The constructed client. + """ + sa_info_func = ( + NotebookServiceClient.from_service_account_info.__func__ # type: ignore + ) + return sa_info_func(NotebookServiceAsyncClient, info, *args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + NotebookServiceAsyncClient: The constructed client. + """ + sa_file_func = ( + NotebookServiceClient.from_service_account_file.__func__ # type: ignore + ) + return sa_file_func(NotebookServiceAsyncClient, filename, *args, **kwargs) + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[ClientOptions] = None + ): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return NotebookServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> NotebookServiceTransport: + """Returns the transport used by the client instance. + + Returns: + NotebookServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = NotebookServiceClient.get_transport_class + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, NotebookServiceTransport, Callable[..., NotebookServiceTransport] + ] + ] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the notebook service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,NotebookServiceTransport,Callable[..., NotebookServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport to use. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the NotebookServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = NotebookServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.NotebookServiceAsyncClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.NotebookService", + "universeDomain": getattr( + self._client._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._client._transport._credentials).__module__}.{type(self._client._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, "get_cred_info", lambda: None + )(), + } + if hasattr(self._client._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.NotebookService", + "credentialsType": None, + } + ), + ) + + async def create_notebook_runtime_template( + self, + request: Optional[ + Union[notebook_service.CreateNotebookRuntimeTemplateRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + notebook_runtime_template: Optional[ + notebook_runtime.NotebookRuntimeTemplate + ] = None, + notebook_runtime_template_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Creates a NotebookRuntimeTemplate. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_notebook_runtime_template(): + # Create a client + client = aiplatform_v1.NotebookServiceAsyncClient() + + # Initialize request argument(s) + notebook_runtime_template = aiplatform_v1.NotebookRuntimeTemplate() + notebook_runtime_template.display_name = "display_name_value" + + request = aiplatform_v1.CreateNotebookRuntimeTemplateRequest( + parent="parent_value", + notebook_runtime_template=notebook_runtime_template, + ) + + # Make the request + operation = client.create_notebook_runtime_template(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateNotebookRuntimeTemplateRequest, dict]]): + The request object. Request message for + [NotebookService.CreateNotebookRuntimeTemplate][google.cloud.aiplatform.v1.NotebookService.CreateNotebookRuntimeTemplate]. + parent (:class:`str`): + Required. The resource name of the Location to create + the NotebookRuntimeTemplate. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + notebook_runtime_template (:class:`google.cloud.aiplatform_v1.types.NotebookRuntimeTemplate`): + Required. The NotebookRuntimeTemplate + to create. + + This corresponds to the ``notebook_runtime_template`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + notebook_runtime_template_id (:class:`str`): + Optional. User specified ID for the + notebook runtime template. + + This corresponds to the ``notebook_runtime_template_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.NotebookRuntimeTemplate` A template that specifies runtime configurations such as machine type, + runtime version, network configurations, etc. + Multiple runtimes can be created from a runtime + template. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [ + parent, + notebook_runtime_template, + notebook_runtime_template_id, + ] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, notebook_service.CreateNotebookRuntimeTemplateRequest + ): + request = notebook_service.CreateNotebookRuntimeTemplateRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if notebook_runtime_template is not None: + request.notebook_runtime_template = notebook_runtime_template + if notebook_runtime_template_id is not None: + request.notebook_runtime_template_id = notebook_runtime_template_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_notebook_runtime_template + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + notebook_runtime.NotebookRuntimeTemplate, + metadata_type=notebook_service.CreateNotebookRuntimeTemplateOperationMetadata, + ) + + # Done; return the response. + return response + + async def get_notebook_runtime_template( + self, + request: Optional[ + Union[notebook_service.GetNotebookRuntimeTemplateRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> notebook_runtime.NotebookRuntimeTemplate: + r"""Gets a NotebookRuntimeTemplate. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_notebook_runtime_template(): + # Create a client + client = aiplatform_v1.NotebookServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetNotebookRuntimeTemplateRequest( + name="name_value", + ) + + # Make the request + response = await client.get_notebook_runtime_template(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetNotebookRuntimeTemplateRequest, dict]]): + The request object. Request message for + [NotebookService.GetNotebookRuntimeTemplate][google.cloud.aiplatform.v1.NotebookService.GetNotebookRuntimeTemplate] + name (:class:`str`): + Required. The name of the NotebookRuntimeTemplate + resource. Format: + ``projects/{project}/locations/{location}/notebookRuntimeTemplates/{notebook_runtime_template}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.NotebookRuntimeTemplate: + A template that specifies runtime + configurations such as machine type, + runtime version, network configurations, + etc. Multiple runtimes can be created + from a runtime template. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, notebook_service.GetNotebookRuntimeTemplateRequest): + request = notebook_service.GetNotebookRuntimeTemplateRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_notebook_runtime_template + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_notebook_runtime_templates( + self, + request: Optional[ + Union[notebook_service.ListNotebookRuntimeTemplatesRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListNotebookRuntimeTemplatesAsyncPager: + r"""Lists NotebookRuntimeTemplates in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_notebook_runtime_templates(): + # Create a client + client = aiplatform_v1.NotebookServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListNotebookRuntimeTemplatesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_notebook_runtime_templates(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListNotebookRuntimeTemplatesRequest, dict]]): + The request object. Request message for + [NotebookService.ListNotebookRuntimeTemplates][google.cloud.aiplatform.v1.NotebookService.ListNotebookRuntimeTemplates]. + parent (:class:`str`): + Required. The resource name of the Location from which + to list the NotebookRuntimeTemplates. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.notebook_service.pagers.ListNotebookRuntimeTemplatesAsyncPager: + Response message for + [NotebookService.ListNotebookRuntimeTemplates][google.cloud.aiplatform.v1.NotebookService.ListNotebookRuntimeTemplates]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, notebook_service.ListNotebookRuntimeTemplatesRequest + ): + request = notebook_service.ListNotebookRuntimeTemplatesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_notebook_runtime_templates + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListNotebookRuntimeTemplatesAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_notebook_runtime_template( + self, + request: Optional[ + Union[notebook_service.DeleteNotebookRuntimeTemplateRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a NotebookRuntimeTemplate. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_notebook_runtime_template(): + # Create a client + client = aiplatform_v1.NotebookServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteNotebookRuntimeTemplateRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_notebook_runtime_template(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteNotebookRuntimeTemplateRequest, dict]]): + The request object. Request message for + [NotebookService.DeleteNotebookRuntimeTemplate][google.cloud.aiplatform.v1.NotebookService.DeleteNotebookRuntimeTemplate]. + name (:class:`str`): + Required. The name of the NotebookRuntimeTemplate + resource to be deleted. Format: + ``projects/{project}/locations/{location}/notebookRuntimeTemplates/{notebook_runtime_template}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, notebook_service.DeleteNotebookRuntimeTemplateRequest + ): + request = notebook_service.DeleteNotebookRuntimeTemplateRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_notebook_runtime_template + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def update_notebook_runtime_template( + self, + request: Optional[ + Union[notebook_service.UpdateNotebookRuntimeTemplateRequest, dict] + ] = None, + *, + notebook_runtime_template: Optional[ + notebook_runtime.NotebookRuntimeTemplate + ] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> notebook_runtime.NotebookRuntimeTemplate: + r"""Updates a NotebookRuntimeTemplate. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_update_notebook_runtime_template(): + # Create a client + client = aiplatform_v1.NotebookServiceAsyncClient() + + # Initialize request argument(s) + notebook_runtime_template = aiplatform_v1.NotebookRuntimeTemplate() + notebook_runtime_template.display_name = "display_name_value" + + request = aiplatform_v1.UpdateNotebookRuntimeTemplateRequest( + notebook_runtime_template=notebook_runtime_template, + ) + + # Make the request + response = await client.update_notebook_runtime_template(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UpdateNotebookRuntimeTemplateRequest, dict]]): + The request object. Request message for + [NotebookService.UpdateNotebookRuntimeTemplate][google.cloud.aiplatform.v1.NotebookService.UpdateNotebookRuntimeTemplate]. + notebook_runtime_template (:class:`google.cloud.aiplatform_v1.types.NotebookRuntimeTemplate`): + Required. The NotebookRuntimeTemplate + to update. + + This corresponds to the ``notebook_runtime_template`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Required. The update mask applies to the resource. For + the ``FieldMask`` definition, see + [google.protobuf.FieldMask][google.protobuf.FieldMask]. + Input format: ``{paths: "${updated_filed}"}`` Updatable + fields: + + - ``encryption_spec.kms_key_name`` + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.NotebookRuntimeTemplate: + A template that specifies runtime + configurations such as machine type, + runtime version, network configurations, + etc. Multiple runtimes can be created + from a runtime template. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [notebook_runtime_template, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, notebook_service.UpdateNotebookRuntimeTemplateRequest + ): + request = notebook_service.UpdateNotebookRuntimeTemplateRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if notebook_runtime_template is not None: + request.notebook_runtime_template = notebook_runtime_template + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.update_notebook_runtime_template + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + ( + ( + "notebook_runtime_template.name", + request.notebook_runtime_template.name, + ), + ) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def assign_notebook_runtime( + self, + request: Optional[ + Union[notebook_service.AssignNotebookRuntimeRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + notebook_runtime_template: Optional[str] = None, + notebook_runtime: Optional[gca_notebook_runtime.NotebookRuntime] = None, + notebook_runtime_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Assigns a NotebookRuntime to a user for a particular + Notebook file. This method will either returns an + existing assignment or generates a new one. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_assign_notebook_runtime(): + # Create a client + client = aiplatform_v1.NotebookServiceAsyncClient() + + # Initialize request argument(s) + notebook_runtime = aiplatform_v1.NotebookRuntime() + notebook_runtime.runtime_user = "runtime_user_value" + notebook_runtime.display_name = "display_name_value" + + request = aiplatform_v1.AssignNotebookRuntimeRequest( + parent="parent_value", + notebook_runtime_template="notebook_runtime_template_value", + notebook_runtime=notebook_runtime, + ) + + # Make the request + operation = client.assign_notebook_runtime(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.AssignNotebookRuntimeRequest, dict]]): + The request object. Request message for + [NotebookService.AssignNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.AssignNotebookRuntime]. + parent (:class:`str`): + Required. The resource name of the Location to get the + NotebookRuntime assignment. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + notebook_runtime_template (:class:`str`): + Required. The resource name of the + NotebookRuntimeTemplate based on which a + NotebookRuntime will be assigned (reuse + or create a new one). + + This corresponds to the ``notebook_runtime_template`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + notebook_runtime (:class:`google.cloud.aiplatform_v1.types.NotebookRuntime`): + Required. Provide runtime specific + information (e.g. runtime owner, + notebook id) used for NotebookRuntime + assignment. + + This corresponds to the ``notebook_runtime`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + notebook_runtime_id (:class:`str`): + Optional. User specified ID for the + notebook runtime. + + This corresponds to the ``notebook_runtime_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.NotebookRuntime` A runtime is a virtual machine allocated to a particular user for a + particular Notebook file on temporary basis with + lifetime. Default runtimes have a lifetime of 18 + hours, while custom runtimes last for 6 months from + their creation or last upgrade. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [ + parent, + notebook_runtime_template, + notebook_runtime, + notebook_runtime_id, + ] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, notebook_service.AssignNotebookRuntimeRequest): + request = notebook_service.AssignNotebookRuntimeRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if notebook_runtime_template is not None: + request.notebook_runtime_template = notebook_runtime_template + if notebook_runtime is not None: + request.notebook_runtime = notebook_runtime + if notebook_runtime_id is not None: + request.notebook_runtime_id = notebook_runtime_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.assign_notebook_runtime + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gca_notebook_runtime.NotebookRuntime, + metadata_type=notebook_service.AssignNotebookRuntimeOperationMetadata, + ) + + # Done; return the response. + return response + + async def get_notebook_runtime( + self, + request: Optional[ + Union[notebook_service.GetNotebookRuntimeRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> notebook_runtime.NotebookRuntime: + r"""Gets a NotebookRuntime. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_notebook_runtime(): + # Create a client + client = aiplatform_v1.NotebookServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetNotebookRuntimeRequest( + name="name_value", + ) + + # Make the request + response = await client.get_notebook_runtime(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetNotebookRuntimeRequest, dict]]): + The request object. Request message for + [NotebookService.GetNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.GetNotebookRuntime] + name (:class:`str`): + Required. The name of the + NotebookRuntime resource. Instead of + checking whether the name is in valid + NotebookRuntime resource name format, + directly throw NotFound exception if + there is no such NotebookRuntime in + spanner. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.NotebookRuntime: + A runtime is a virtual machine + allocated to a particular user for a + particular Notebook file on temporary + basis with lifetime. Default runtimes + have a lifetime of 18 hours, while + custom runtimes last for 6 months from + their creation or last upgrade. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, notebook_service.GetNotebookRuntimeRequest): + request = notebook_service.GetNotebookRuntimeRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_notebook_runtime + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_notebook_runtimes( + self, + request: Optional[ + Union[notebook_service.ListNotebookRuntimesRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListNotebookRuntimesAsyncPager: + r"""Lists NotebookRuntimes in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_notebook_runtimes(): + # Create a client + client = aiplatform_v1.NotebookServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListNotebookRuntimesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_notebook_runtimes(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListNotebookRuntimesRequest, dict]]): + The request object. Request message for + [NotebookService.ListNotebookRuntimes][google.cloud.aiplatform.v1.NotebookService.ListNotebookRuntimes]. + parent (:class:`str`): + Required. The resource name of the Location from which + to list the NotebookRuntimes. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.notebook_service.pagers.ListNotebookRuntimesAsyncPager: + Response message for + [NotebookService.ListNotebookRuntimes][google.cloud.aiplatform.v1.NotebookService.ListNotebookRuntimes]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, notebook_service.ListNotebookRuntimesRequest): + request = notebook_service.ListNotebookRuntimesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_notebook_runtimes + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListNotebookRuntimesAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_notebook_runtime( + self, + request: Optional[ + Union[notebook_service.DeleteNotebookRuntimeRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a NotebookRuntime. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_notebook_runtime(): + # Create a client + client = aiplatform_v1.NotebookServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteNotebookRuntimeRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_notebook_runtime(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteNotebookRuntimeRequest, dict]]): + The request object. Request message for + [NotebookService.DeleteNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.DeleteNotebookRuntime]. + name (:class:`str`): + Required. The name of the + NotebookRuntime resource to be deleted. + Instead of checking whether the name is + in valid NotebookRuntime resource name + format, directly throw NotFound + exception if there is no such + NotebookRuntime in spanner. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, notebook_service.DeleteNotebookRuntimeRequest): + request = notebook_service.DeleteNotebookRuntimeRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_notebook_runtime + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def upgrade_notebook_runtime( + self, + request: Optional[ + Union[notebook_service.UpgradeNotebookRuntimeRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Upgrades a NotebookRuntime. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_upgrade_notebook_runtime(): + # Create a client + client = aiplatform_v1.NotebookServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.UpgradeNotebookRuntimeRequest( + name="name_value", + ) + + # Make the request + operation = client.upgrade_notebook_runtime(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UpgradeNotebookRuntimeRequest, dict]]): + The request object. Request message for + [NotebookService.UpgradeNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.UpgradeNotebookRuntime]. + name (:class:`str`): + Required. The name of the + NotebookRuntime resource to be upgrade. + Instead of checking whether the name is + in valid NotebookRuntime resource name + format, directly throw NotFound + exception if there is no such + NotebookRuntime in spanner. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.UpgradeNotebookRuntimeResponse` Response message for + [NotebookService.UpgradeNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.UpgradeNotebookRuntime]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, notebook_service.UpgradeNotebookRuntimeRequest): + request = notebook_service.UpgradeNotebookRuntimeRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.upgrade_notebook_runtime + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + notebook_service.UpgradeNotebookRuntimeResponse, + metadata_type=notebook_service.UpgradeNotebookRuntimeOperationMetadata, + ) + + # Done; return the response. + return response + + async def start_notebook_runtime( + self, + request: Optional[ + Union[notebook_service.StartNotebookRuntimeRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Starts a NotebookRuntime. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_start_notebook_runtime(): + # Create a client + client = aiplatform_v1.NotebookServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.StartNotebookRuntimeRequest( + name="name_value", + ) + + # Make the request + operation = client.start_notebook_runtime(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.StartNotebookRuntimeRequest, dict]]): + The request object. Request message for + [NotebookService.StartNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.StartNotebookRuntime]. + name (:class:`str`): + Required. The name of the + NotebookRuntime resource to be started. + Instead of checking whether the name is + in valid NotebookRuntime resource name + format, directly throw NotFound + exception if there is no such + NotebookRuntime in spanner. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.StartNotebookRuntimeResponse` Response message for + [NotebookService.StartNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.StartNotebookRuntime]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, notebook_service.StartNotebookRuntimeRequest): + request = notebook_service.StartNotebookRuntimeRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.start_notebook_runtime + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + notebook_service.StartNotebookRuntimeResponse, + metadata_type=notebook_service.StartNotebookRuntimeOperationMetadata, + ) + + # Done; return the response. + return response + + async def stop_notebook_runtime( + self, + request: Optional[ + Union[notebook_service.StopNotebookRuntimeRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Stops a NotebookRuntime. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_stop_notebook_runtime(): + # Create a client + client = aiplatform_v1.NotebookServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.StopNotebookRuntimeRequest( + name="name_value", + ) + + # Make the request + operation = client.stop_notebook_runtime(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.StopNotebookRuntimeRequest, dict]]): + The request object. Request message for + [NotebookService.StopNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.StopNotebookRuntime]. + name (:class:`str`): + Required. The name of the + NotebookRuntime resource to be stopped. + Instead of checking whether the name is + in valid NotebookRuntime resource name + format, directly throw NotFound + exception if there is no such + NotebookRuntime in spanner. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.StopNotebookRuntimeResponse` Response message for + [NotebookService.StopNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.StopNotebookRuntime]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, notebook_service.StopNotebookRuntimeRequest): + request = notebook_service.StopNotebookRuntimeRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.stop_notebook_runtime + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + notebook_service.StopNotebookRuntimeResponse, + metadata_type=notebook_service.StopNotebookRuntimeOperationMetadata, + ) + + # Done; return the response. + return response + + async def create_notebook_execution_job( + self, + request: Optional[ + Union[notebook_service.CreateNotebookExecutionJobRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + notebook_execution_job: Optional[ + gca_notebook_execution_job.NotebookExecutionJob + ] = None, + notebook_execution_job_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Creates a NotebookExecutionJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_notebook_execution_job(): + # Create a client + client = aiplatform_v1.NotebookServiceAsyncClient() + + # Initialize request argument(s) + notebook_execution_job = aiplatform_v1.NotebookExecutionJob() + notebook_execution_job.notebook_runtime_template_resource_name = "notebook_runtime_template_resource_name_value" + notebook_execution_job.gcs_output_uri = "gcs_output_uri_value" + notebook_execution_job.execution_user = "execution_user_value" + + request = aiplatform_v1.CreateNotebookExecutionJobRequest( + parent="parent_value", + notebook_execution_job=notebook_execution_job, + ) + + # Make the request + operation = client.create_notebook_execution_job(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateNotebookExecutionJobRequest, dict]]): + The request object. Request message for + [NotebookService.CreateNotebookExecutionJob] + parent (:class:`str`): + Required. The resource name of the Location to create + the NotebookExecutionJob. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + notebook_execution_job (:class:`google.cloud.aiplatform_v1.types.NotebookExecutionJob`): + Required. The NotebookExecutionJob to + create. + + This corresponds to the ``notebook_execution_job`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + notebook_execution_job_id (:class:`str`): + Optional. User specified ID for the + NotebookExecutionJob. + + This corresponds to the ``notebook_execution_job_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.aiplatform_v1.types.NotebookExecutionJob` + NotebookExecutionJob represents an instance of a + notebook execution. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, notebook_execution_job, notebook_execution_job_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, notebook_service.CreateNotebookExecutionJobRequest): + request = notebook_service.CreateNotebookExecutionJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if notebook_execution_job is not None: + request.notebook_execution_job = notebook_execution_job + if notebook_execution_job_id is not None: + request.notebook_execution_job_id = notebook_execution_job_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_notebook_execution_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gca_notebook_execution_job.NotebookExecutionJob, + metadata_type=notebook_service.CreateNotebookExecutionJobOperationMetadata, + ) + + # Done; return the response. + return response + + async def get_notebook_execution_job( + self, + request: Optional[ + Union[notebook_service.GetNotebookExecutionJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> notebook_execution_job.NotebookExecutionJob: + r"""Gets a NotebookExecutionJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_notebook_execution_job(): + # Create a client + client = aiplatform_v1.NotebookServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetNotebookExecutionJobRequest( + name="name_value", + ) + + # Make the request + response = await client.get_notebook_execution_job(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetNotebookExecutionJobRequest, dict]]): + The request object. Request message for + [NotebookService.GetNotebookExecutionJob] + name (:class:`str`): + Required. The name of the + NotebookExecutionJob resource. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.NotebookExecutionJob: + NotebookExecutionJob represents an + instance of a notebook execution. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, notebook_service.GetNotebookExecutionJobRequest): + request = notebook_service.GetNotebookExecutionJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_notebook_execution_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_notebook_execution_jobs( + self, + request: Optional[ + Union[notebook_service.ListNotebookExecutionJobsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListNotebookExecutionJobsAsyncPager: + r"""Lists NotebookExecutionJobs in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_notebook_execution_jobs(): + # Create a client + client = aiplatform_v1.NotebookServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListNotebookExecutionJobsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_notebook_execution_jobs(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListNotebookExecutionJobsRequest, dict]]): + The request object. Request message for + [NotebookService.ListNotebookExecutionJobs] + parent (:class:`str`): + Required. The resource name of the Location from which + to list the NotebookExecutionJobs. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.notebook_service.pagers.ListNotebookExecutionJobsAsyncPager: + Response message for + [NotebookService.CreateNotebookExecutionJob] + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, notebook_service.ListNotebookExecutionJobsRequest): + request = notebook_service.ListNotebookExecutionJobsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_notebook_execution_jobs + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListNotebookExecutionJobsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_notebook_execution_job( + self, + request: Optional[ + Union[notebook_service.DeleteNotebookExecutionJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a NotebookExecutionJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_notebook_execution_job(): + # Create a client + client = aiplatform_v1.NotebookServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteNotebookExecutionJobRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_notebook_execution_job(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteNotebookExecutionJobRequest, dict]]): + The request object. Request message for + [NotebookService.DeleteNotebookExecutionJob] + name (:class:`str`): + Required. The name of the + NotebookExecutionJob resource to be + deleted. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, notebook_service.DeleteNotebookExecutionJobRequest): + request = notebook_service.DeleteNotebookExecutionJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_notebook_execution_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[ + self._client._transport.test_iam_permissions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self) -> "NotebookServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +__all__ = ("NotebookServiceAsyncClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/notebook_service/client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/notebook_service/client.py new file mode 100644 index 0000000000000000000000000000000000000000..3ea2d02333e4dc598e5f3a4f8b4a16911343af22 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/notebook_service/client.py @@ -0,0 +1,3843 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from http import HTTPStatus +import json +import logging as std_logging +import os +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, + cast, +) +import warnings + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + +from google.cloud.aiplatform_v1.services.notebook_service import pagers +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import job_state +from google.cloud.aiplatform_v1.types import machine_resources +from google.cloud.aiplatform_v1.types import network_spec +from google.cloud.aiplatform_v1.types import notebook_euc_config +from google.cloud.aiplatform_v1.types import notebook_execution_job +from google.cloud.aiplatform_v1.types import ( + notebook_execution_job as gca_notebook_execution_job, +) +from google.cloud.aiplatform_v1.types import notebook_idle_shutdown_config +from google.cloud.aiplatform_v1.types import notebook_runtime +from google.cloud.aiplatform_v1.types import notebook_runtime as gca_notebook_runtime +from google.cloud.aiplatform_v1.types import notebook_runtime_template_ref +from google.cloud.aiplatform_v1.types import notebook_service +from google.cloud.aiplatform_v1.types import notebook_software_config +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.duration_pb2 as duration_pb2 # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +import google.rpc.status_pb2 as status_pb2 # type: ignore +from .transports.base import NotebookServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import NotebookServiceGrpcTransport +from .transports.grpc_asyncio import NotebookServiceGrpcAsyncIOTransport +from .transports.rest import NotebookServiceRestTransport + +try: + from .transports.rest_asyncio import AsyncNotebookServiceRestTransport + + HAS_ASYNC_REST_DEPENDENCIES = True +except ImportError as e: # pragma: NO COVER + HAS_ASYNC_REST_DEPENDENCIES = False + ASYNC_REST_EXCEPTION = e + + +class NotebookServiceClientMeta(type): + """Metaclass for the NotebookService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + + _transport_registry = ( + OrderedDict() + ) # type: Dict[str, Type[NotebookServiceTransport]] + _transport_registry["grpc"] = NotebookServiceGrpcTransport + _transport_registry["grpc_asyncio"] = NotebookServiceGrpcAsyncIOTransport + _transport_registry["rest"] = NotebookServiceRestTransport + if HAS_ASYNC_REST_DEPENDENCIES: # pragma: NO COVER + _transport_registry["rest_asyncio"] = AsyncNotebookServiceRestTransport + + def get_transport_class( + cls, + label: Optional[str] = None, + ) -> Type[NotebookServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if ( + label == "rest_asyncio" and not HAS_ASYNC_REST_DEPENDENCIES + ): # pragma: NO COVER + raise ASYNC_REST_EXCEPTION + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class NotebookServiceClient(metaclass=NotebookServiceClientMeta): + """The interface for Vertex Notebook service (a.k.a. Colab on + Workbench). + """ + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "aiplatform.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @staticmethod + def _use_client_cert_effective(): + """Returns whether client certificate should be used for mTLS if the + google-auth version supports should_use_client_cert automatic mTLS enablement. + + Alternatively, read from the GOOGLE_API_USE_CLIENT_CERTIFICATE env var. + + Returns: + bool: whether client certificate should be used for mTLS + Raises: + ValueError: (If using a version of google-auth without should_use_client_cert and + GOOGLE_API_USE_CLIENT_CERTIFICATE is set to an unexpected value.) + """ + # check if google-auth version supports should_use_client_cert for automatic mTLS enablement + if hasattr(mtls, "should_use_client_cert"): # pragma: NO COVER + return mtls.should_use_client_cert() + else: # pragma: NO COVER + # if unsupported, fallback to reading from env var + use_client_cert_str = os.getenv( + "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false" + ).lower() + if use_client_cert_str not in ("true", "false"): + raise ValueError( + "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be" + " either `true` or `false`" + ) + return use_client_cert_str == "true" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + NotebookServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + NotebookServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file(filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> NotebookServiceTransport: + """Returns the transport used by the client instance. + + Returns: + NotebookServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def network_path( + project: str, + network: str, + ) -> str: + """Returns a fully-qualified network string.""" + return "projects/{project}/global/networks/{network}".format( + project=project, + network=network, + ) + + @staticmethod + def parse_network_path(path: str) -> Dict[str, str]: + """Parses a network path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/global/networks/(?P.+?)$", path + ) + return m.groupdict() if m else {} + + @staticmethod + def notebook_execution_job_path( + project: str, + location: str, + notebook_execution_job: str, + ) -> str: + """Returns a fully-qualified notebook_execution_job string.""" + return "projects/{project}/locations/{location}/notebookExecutionJobs/{notebook_execution_job}".format( + project=project, + location=location, + notebook_execution_job=notebook_execution_job, + ) + + @staticmethod + def parse_notebook_execution_job_path(path: str) -> Dict[str, str]: + """Parses a notebook_execution_job path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/notebookExecutionJobs/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def notebook_runtime_path( + project: str, + location: str, + notebook_runtime: str, + ) -> str: + """Returns a fully-qualified notebook_runtime string.""" + return "projects/{project}/locations/{location}/notebookRuntimes/{notebook_runtime}".format( + project=project, + location=location, + notebook_runtime=notebook_runtime, + ) + + @staticmethod + def parse_notebook_runtime_path(path: str) -> Dict[str, str]: + """Parses a notebook_runtime path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/notebookRuntimes/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def notebook_runtime_template_path( + project: str, + location: str, + notebook_runtime_template: str, + ) -> str: + """Returns a fully-qualified notebook_runtime_template string.""" + return "projects/{project}/locations/{location}/notebookRuntimeTemplates/{notebook_runtime_template}".format( + project=project, + location=location, + notebook_runtime_template=notebook_runtime_template, + ) + + @staticmethod + def parse_notebook_runtime_template_path(path: str) -> Dict[str, str]: + """Parses a notebook_runtime_template path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/notebookRuntimeTemplates/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def reservation_path( + project_id_or_number: str, + zone: str, + reservation_name: str, + ) -> str: + """Returns a fully-qualified reservation string.""" + return "projects/{project_id_or_number}/zones/{zone}/reservations/{reservation_name}".format( + project_id_or_number=project_id_or_number, + zone=zone, + reservation_name=reservation_name, + ) + + @staticmethod + def parse_reservation_path(path: str) -> Dict[str, str]: + """Parses a reservation path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/zones/(?P.+?)/reservations/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def schedule_path( + project: str, + location: str, + schedule: str, + ) -> str: + """Returns a fully-qualified schedule string.""" + return "projects/{project}/locations/{location}/schedules/{schedule}".format( + project=project, + location=location, + schedule=schedule, + ) + + @staticmethod + def parse_schedule_path(path: str) -> Dict[str, str]: + """Parses a schedule path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/schedules/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def subnetwork_path( + project: str, + region: str, + subnetwork: str, + ) -> str: + """Returns a fully-qualified subnetwork string.""" + return "projects/{project}/regions/{region}/subnetworks/{subnetwork}".format( + project=project, + region=region, + subnetwork=subnetwork, + ) + + @staticmethod + def parse_subnetwork_path(path: str) -> Dict[str, str]: + """Parses a subnetwork path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/regions/(?P.+?)/subnetworks/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path( + billing_account: str, + ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format( + billing_account=billing_account, + ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str, str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path( + folder: str, + ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format( + folder=folder, + ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str, str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path( + organization: str, + ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format( + organization=organization, + ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str, str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path( + project: str, + ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format( + project=project, + ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str, str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path( + project: str, + location: str, + ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format( + project=project, + location=location, + ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str, str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[client_options_lib.ClientOptions] = None + ): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn( + "get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning, + ) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = NotebookServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert: + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = NotebookServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + return use_client_cert, use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint( + api_override, client_cert_source, universe_domain, use_mtls_endpoint + ): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + _default_universe = NotebookServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError( + f"mTLS is not supported in any universe other than {_default_universe}." + ) + api_endpoint = NotebookServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = NotebookServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format( + UNIVERSE_DOMAIN=universe_domain + ) + return api_endpoint + + @staticmethod + def _get_universe_domain( + client_universe_domain: Optional[str], universe_domain_env: Optional[str] + ) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = NotebookServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + + # NOTE (b/349488459): universe validation is disabled until further notice. + return True + + def _add_cred_info_for_auth_errors( + self, error: core_exceptions.GoogleAPICallError + ) -> None: + """Adds credential info string to error details for 401/403/404 errors. + + Args: + error (google.api_core.exceptions.GoogleAPICallError): The error to add the cred info. + """ + if error.code not in [ + HTTPStatus.UNAUTHORIZED, + HTTPStatus.FORBIDDEN, + HTTPStatus.NOT_FOUND, + ]: + return + + cred = self._transport._credentials + + # get_cred_info is only available in google-auth>=2.35.0 + if not hasattr(cred, "get_cred_info"): + return + + # ignore the type check since pypy test fails when get_cred_info + # is not available + cred_info = cred.get_cred_info() # type: ignore + if cred_info and hasattr(error._details, "append"): + error._details.append(json.dumps(cred_info)) + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, NotebookServiceTransport, Callable[..., NotebookServiceTransport] + ] + ] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the notebook service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,NotebookServiceTransport,Callable[..., NotebookServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the NotebookServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast( + client_options_lib.ClientOptions, self._client_options + ) + + universe_domain_opt = getattr(self._client_options, "universe_domain", None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = ( + NotebookServiceClient._read_environment_variables() + ) + self._client_cert_source = NotebookServiceClient._get_client_cert_source( + self._client_options.client_cert_source, self._use_client_cert + ) + self._universe_domain = NotebookServiceClient._get_universe_domain( + universe_domain_opt, self._universe_domain_env + ) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + if CLIENT_LOGGING_SUPPORTED: # pragma: NO COVER + # Setup logging. + client_logging.initialize_logging() + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError( + "client_options.api_key and credentials are mutually exclusive" + ) + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance(transport, NotebookServiceTransport) + if transport_provided: + # transport is a NotebookServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError( + "When providing a transport instance, " + "provide its credentials directly." + ) + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(NotebookServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = ( + self._api_endpoint + or NotebookServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint, + ) + ) + + if not transport_provided: + transport_init: Union[ + Type[NotebookServiceTransport], Callable[..., NotebookServiceTransport] + ] = ( + NotebookServiceClient.get_transport_class(transport) + if isinstance(transport, str) or transport is None + else cast(Callable[..., NotebookServiceTransport], transport) + ) + + if "rest_asyncio" in str(transport_init): + unsupported_params = { + "google.api_core.client_options.ClientOptions.credentials_file": self._client_options.credentials_file, + "google.api_core.client_options.ClientOptions.scopes": self._client_options.scopes, + "google.api_core.client_options.ClientOptions.quota_project_id": self._client_options.quota_project_id, + "google.api_core.client_options.ClientOptions.client_cert_source": self._client_options.client_cert_source, + "google.api_core.client_options.ClientOptions.api_audience": self._client_options.api_audience, + } + provided_unsupported_params = [ + name + for name, value in unsupported_params.items() + if value is not None + ] + if provided_unsupported_params: + raise core_exceptions.AsyncRestUnsupportedParameterError( # type: ignore + f"The following provided parameters are not supported for `transport=rest_asyncio`: {', '.join(provided_unsupported_params)}" + ) + self._transport = transport_init( + credentials=credentials, + host=self._api_endpoint, + client_info=client_info, + ) + return + + import google.auth._default # type: ignore + + if api_key_value and hasattr( + google.auth._default, "get_api_key_credentials" + ): + credentials = google.auth._default.get_api_key_credentials( + api_key_value + ) + + # initialize with the provided callable or the passed in class + self._transport = transport_init( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + if "async" not in str(self._transport): + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.NotebookServiceClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.NotebookService", + "universeDomain": getattr( + self._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._transport._credentials).__module__}.{type(self._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, + "get_cred_info", + lambda: None, + )(), + } + if hasattr(self._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.NotebookService", + "credentialsType": None, + } + ), + ) + + def create_notebook_runtime_template( + self, + request: Optional[ + Union[notebook_service.CreateNotebookRuntimeTemplateRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + notebook_runtime_template: Optional[ + notebook_runtime.NotebookRuntimeTemplate + ] = None, + notebook_runtime_template_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Creates a NotebookRuntimeTemplate. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_notebook_runtime_template(): + # Create a client + client = aiplatform_v1.NotebookServiceClient() + + # Initialize request argument(s) + notebook_runtime_template = aiplatform_v1.NotebookRuntimeTemplate() + notebook_runtime_template.display_name = "display_name_value" + + request = aiplatform_v1.CreateNotebookRuntimeTemplateRequest( + parent="parent_value", + notebook_runtime_template=notebook_runtime_template, + ) + + # Make the request + operation = client.create_notebook_runtime_template(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateNotebookRuntimeTemplateRequest, dict]): + The request object. Request message for + [NotebookService.CreateNotebookRuntimeTemplate][google.cloud.aiplatform.v1.NotebookService.CreateNotebookRuntimeTemplate]. + parent (str): + Required. The resource name of the Location to create + the NotebookRuntimeTemplate. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + notebook_runtime_template (google.cloud.aiplatform_v1.types.NotebookRuntimeTemplate): + Required. The NotebookRuntimeTemplate + to create. + + This corresponds to the ``notebook_runtime_template`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + notebook_runtime_template_id (str): + Optional. User specified ID for the + notebook runtime template. + + This corresponds to the ``notebook_runtime_template_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.NotebookRuntimeTemplate` A template that specifies runtime configurations such as machine type, + runtime version, network configurations, etc. + Multiple runtimes can be created from a runtime + template. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [ + parent, + notebook_runtime_template, + notebook_runtime_template_id, + ] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, notebook_service.CreateNotebookRuntimeTemplateRequest + ): + request = notebook_service.CreateNotebookRuntimeTemplateRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if notebook_runtime_template is not None: + request.notebook_runtime_template = notebook_runtime_template + if notebook_runtime_template_id is not None: + request.notebook_runtime_template_id = notebook_runtime_template_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.create_notebook_runtime_template + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + notebook_runtime.NotebookRuntimeTemplate, + metadata_type=notebook_service.CreateNotebookRuntimeTemplateOperationMetadata, + ) + + # Done; return the response. + return response + + def get_notebook_runtime_template( + self, + request: Optional[ + Union[notebook_service.GetNotebookRuntimeTemplateRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> notebook_runtime.NotebookRuntimeTemplate: + r"""Gets a NotebookRuntimeTemplate. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_notebook_runtime_template(): + # Create a client + client = aiplatform_v1.NotebookServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetNotebookRuntimeTemplateRequest( + name="name_value", + ) + + # Make the request + response = client.get_notebook_runtime_template(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetNotebookRuntimeTemplateRequest, dict]): + The request object. Request message for + [NotebookService.GetNotebookRuntimeTemplate][google.cloud.aiplatform.v1.NotebookService.GetNotebookRuntimeTemplate] + name (str): + Required. The name of the NotebookRuntimeTemplate + resource. Format: + ``projects/{project}/locations/{location}/notebookRuntimeTemplates/{notebook_runtime_template}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.NotebookRuntimeTemplate: + A template that specifies runtime + configurations such as machine type, + runtime version, network configurations, + etc. Multiple runtimes can be created + from a runtime template. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, notebook_service.GetNotebookRuntimeTemplateRequest): + request = notebook_service.GetNotebookRuntimeTemplateRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.get_notebook_runtime_template + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_notebook_runtime_templates( + self, + request: Optional[ + Union[notebook_service.ListNotebookRuntimeTemplatesRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListNotebookRuntimeTemplatesPager: + r"""Lists NotebookRuntimeTemplates in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_notebook_runtime_templates(): + # Create a client + client = aiplatform_v1.NotebookServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListNotebookRuntimeTemplatesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_notebook_runtime_templates(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListNotebookRuntimeTemplatesRequest, dict]): + The request object. Request message for + [NotebookService.ListNotebookRuntimeTemplates][google.cloud.aiplatform.v1.NotebookService.ListNotebookRuntimeTemplates]. + parent (str): + Required. The resource name of the Location from which + to list the NotebookRuntimeTemplates. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.notebook_service.pagers.ListNotebookRuntimeTemplatesPager: + Response message for + [NotebookService.ListNotebookRuntimeTemplates][google.cloud.aiplatform.v1.NotebookService.ListNotebookRuntimeTemplates]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, notebook_service.ListNotebookRuntimeTemplatesRequest + ): + request = notebook_service.ListNotebookRuntimeTemplatesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.list_notebook_runtime_templates + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListNotebookRuntimeTemplatesPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def delete_notebook_runtime_template( + self, + request: Optional[ + Union[notebook_service.DeleteNotebookRuntimeTemplateRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes a NotebookRuntimeTemplate. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_notebook_runtime_template(): + # Create a client + client = aiplatform_v1.NotebookServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteNotebookRuntimeTemplateRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_notebook_runtime_template(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteNotebookRuntimeTemplateRequest, dict]): + The request object. Request message for + [NotebookService.DeleteNotebookRuntimeTemplate][google.cloud.aiplatform.v1.NotebookService.DeleteNotebookRuntimeTemplate]. + name (str): + Required. The name of the NotebookRuntimeTemplate + resource to be deleted. Format: + ``projects/{project}/locations/{location}/notebookRuntimeTemplates/{notebook_runtime_template}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, notebook_service.DeleteNotebookRuntimeTemplateRequest + ): + request = notebook_service.DeleteNotebookRuntimeTemplateRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.delete_notebook_runtime_template + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def update_notebook_runtime_template( + self, + request: Optional[ + Union[notebook_service.UpdateNotebookRuntimeTemplateRequest, dict] + ] = None, + *, + notebook_runtime_template: Optional[ + notebook_runtime.NotebookRuntimeTemplate + ] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> notebook_runtime.NotebookRuntimeTemplate: + r"""Updates a NotebookRuntimeTemplate. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_update_notebook_runtime_template(): + # Create a client + client = aiplatform_v1.NotebookServiceClient() + + # Initialize request argument(s) + notebook_runtime_template = aiplatform_v1.NotebookRuntimeTemplate() + notebook_runtime_template.display_name = "display_name_value" + + request = aiplatform_v1.UpdateNotebookRuntimeTemplateRequest( + notebook_runtime_template=notebook_runtime_template, + ) + + # Make the request + response = client.update_notebook_runtime_template(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UpdateNotebookRuntimeTemplateRequest, dict]): + The request object. Request message for + [NotebookService.UpdateNotebookRuntimeTemplate][google.cloud.aiplatform.v1.NotebookService.UpdateNotebookRuntimeTemplate]. + notebook_runtime_template (google.cloud.aiplatform_v1.types.NotebookRuntimeTemplate): + Required. The NotebookRuntimeTemplate + to update. + + This corresponds to the ``notebook_runtime_template`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Required. The update mask applies to the resource. For + the ``FieldMask`` definition, see + [google.protobuf.FieldMask][google.protobuf.FieldMask]. + Input format: ``{paths: "${updated_filed}"}`` Updatable + fields: + + - ``encryption_spec.kms_key_name`` + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.NotebookRuntimeTemplate: + A template that specifies runtime + configurations such as machine type, + runtime version, network configurations, + etc. Multiple runtimes can be created + from a runtime template. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [notebook_runtime_template, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, notebook_service.UpdateNotebookRuntimeTemplateRequest + ): + request = notebook_service.UpdateNotebookRuntimeTemplateRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if notebook_runtime_template is not None: + request.notebook_runtime_template = notebook_runtime_template + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.update_notebook_runtime_template + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + ( + ( + "notebook_runtime_template.name", + request.notebook_runtime_template.name, + ), + ) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def assign_notebook_runtime( + self, + request: Optional[ + Union[notebook_service.AssignNotebookRuntimeRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + notebook_runtime_template: Optional[str] = None, + notebook_runtime: Optional[gca_notebook_runtime.NotebookRuntime] = None, + notebook_runtime_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Assigns a NotebookRuntime to a user for a particular + Notebook file. This method will either returns an + existing assignment or generates a new one. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_assign_notebook_runtime(): + # Create a client + client = aiplatform_v1.NotebookServiceClient() + + # Initialize request argument(s) + notebook_runtime = aiplatform_v1.NotebookRuntime() + notebook_runtime.runtime_user = "runtime_user_value" + notebook_runtime.display_name = "display_name_value" + + request = aiplatform_v1.AssignNotebookRuntimeRequest( + parent="parent_value", + notebook_runtime_template="notebook_runtime_template_value", + notebook_runtime=notebook_runtime, + ) + + # Make the request + operation = client.assign_notebook_runtime(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.AssignNotebookRuntimeRequest, dict]): + The request object. Request message for + [NotebookService.AssignNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.AssignNotebookRuntime]. + parent (str): + Required. The resource name of the Location to get the + NotebookRuntime assignment. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + notebook_runtime_template (str): + Required. The resource name of the + NotebookRuntimeTemplate based on which a + NotebookRuntime will be assigned (reuse + or create a new one). + + This corresponds to the ``notebook_runtime_template`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + notebook_runtime (google.cloud.aiplatform_v1.types.NotebookRuntime): + Required. Provide runtime specific + information (e.g. runtime owner, + notebook id) used for NotebookRuntime + assignment. + + This corresponds to the ``notebook_runtime`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + notebook_runtime_id (str): + Optional. User specified ID for the + notebook runtime. + + This corresponds to the ``notebook_runtime_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.NotebookRuntime` A runtime is a virtual machine allocated to a particular user for a + particular Notebook file on temporary basis with + lifetime. Default runtimes have a lifetime of 18 + hours, while custom runtimes last for 6 months from + their creation or last upgrade. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [ + parent, + notebook_runtime_template, + notebook_runtime, + notebook_runtime_id, + ] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, notebook_service.AssignNotebookRuntimeRequest): + request = notebook_service.AssignNotebookRuntimeRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if notebook_runtime_template is not None: + request.notebook_runtime_template = notebook_runtime_template + if notebook_runtime is not None: + request.notebook_runtime = notebook_runtime + if notebook_runtime_id is not None: + request.notebook_runtime_id = notebook_runtime_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.assign_notebook_runtime] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + gca_notebook_runtime.NotebookRuntime, + metadata_type=notebook_service.AssignNotebookRuntimeOperationMetadata, + ) + + # Done; return the response. + return response + + def get_notebook_runtime( + self, + request: Optional[ + Union[notebook_service.GetNotebookRuntimeRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> notebook_runtime.NotebookRuntime: + r"""Gets a NotebookRuntime. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_notebook_runtime(): + # Create a client + client = aiplatform_v1.NotebookServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetNotebookRuntimeRequest( + name="name_value", + ) + + # Make the request + response = client.get_notebook_runtime(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetNotebookRuntimeRequest, dict]): + The request object. Request message for + [NotebookService.GetNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.GetNotebookRuntime] + name (str): + Required. The name of the + NotebookRuntime resource. Instead of + checking whether the name is in valid + NotebookRuntime resource name format, + directly throw NotFound exception if + there is no such NotebookRuntime in + spanner. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.NotebookRuntime: + A runtime is a virtual machine + allocated to a particular user for a + particular Notebook file on temporary + basis with lifetime. Default runtimes + have a lifetime of 18 hours, while + custom runtimes last for 6 months from + their creation or last upgrade. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, notebook_service.GetNotebookRuntimeRequest): + request = notebook_service.GetNotebookRuntimeRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_notebook_runtime] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_notebook_runtimes( + self, + request: Optional[ + Union[notebook_service.ListNotebookRuntimesRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListNotebookRuntimesPager: + r"""Lists NotebookRuntimes in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_notebook_runtimes(): + # Create a client + client = aiplatform_v1.NotebookServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListNotebookRuntimesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_notebook_runtimes(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListNotebookRuntimesRequest, dict]): + The request object. Request message for + [NotebookService.ListNotebookRuntimes][google.cloud.aiplatform.v1.NotebookService.ListNotebookRuntimes]. + parent (str): + Required. The resource name of the Location from which + to list the NotebookRuntimes. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.notebook_service.pagers.ListNotebookRuntimesPager: + Response message for + [NotebookService.ListNotebookRuntimes][google.cloud.aiplatform.v1.NotebookService.ListNotebookRuntimes]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, notebook_service.ListNotebookRuntimesRequest): + request = notebook_service.ListNotebookRuntimesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_notebook_runtimes] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListNotebookRuntimesPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def delete_notebook_runtime( + self, + request: Optional[ + Union[notebook_service.DeleteNotebookRuntimeRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes a NotebookRuntime. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_notebook_runtime(): + # Create a client + client = aiplatform_v1.NotebookServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteNotebookRuntimeRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_notebook_runtime(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteNotebookRuntimeRequest, dict]): + The request object. Request message for + [NotebookService.DeleteNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.DeleteNotebookRuntime]. + name (str): + Required. The name of the + NotebookRuntime resource to be deleted. + Instead of checking whether the name is + in valid NotebookRuntime resource name + format, directly throw NotFound + exception if there is no such + NotebookRuntime in spanner. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, notebook_service.DeleteNotebookRuntimeRequest): + request = notebook_service.DeleteNotebookRuntimeRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_notebook_runtime] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def upgrade_notebook_runtime( + self, + request: Optional[ + Union[notebook_service.UpgradeNotebookRuntimeRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Upgrades a NotebookRuntime. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_upgrade_notebook_runtime(): + # Create a client + client = aiplatform_v1.NotebookServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.UpgradeNotebookRuntimeRequest( + name="name_value", + ) + + # Make the request + operation = client.upgrade_notebook_runtime(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UpgradeNotebookRuntimeRequest, dict]): + The request object. Request message for + [NotebookService.UpgradeNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.UpgradeNotebookRuntime]. + name (str): + Required. The name of the + NotebookRuntime resource to be upgrade. + Instead of checking whether the name is + in valid NotebookRuntime resource name + format, directly throw NotFound + exception if there is no such + NotebookRuntime in spanner. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.UpgradeNotebookRuntimeResponse` Response message for + [NotebookService.UpgradeNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.UpgradeNotebookRuntime]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, notebook_service.UpgradeNotebookRuntimeRequest): + request = notebook_service.UpgradeNotebookRuntimeRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.upgrade_notebook_runtime] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + notebook_service.UpgradeNotebookRuntimeResponse, + metadata_type=notebook_service.UpgradeNotebookRuntimeOperationMetadata, + ) + + # Done; return the response. + return response + + def start_notebook_runtime( + self, + request: Optional[ + Union[notebook_service.StartNotebookRuntimeRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Starts a NotebookRuntime. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_start_notebook_runtime(): + # Create a client + client = aiplatform_v1.NotebookServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.StartNotebookRuntimeRequest( + name="name_value", + ) + + # Make the request + operation = client.start_notebook_runtime(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.StartNotebookRuntimeRequest, dict]): + The request object. Request message for + [NotebookService.StartNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.StartNotebookRuntime]. + name (str): + Required. The name of the + NotebookRuntime resource to be started. + Instead of checking whether the name is + in valid NotebookRuntime resource name + format, directly throw NotFound + exception if there is no such + NotebookRuntime in spanner. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.StartNotebookRuntimeResponse` Response message for + [NotebookService.StartNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.StartNotebookRuntime]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, notebook_service.StartNotebookRuntimeRequest): + request = notebook_service.StartNotebookRuntimeRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.start_notebook_runtime] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + notebook_service.StartNotebookRuntimeResponse, + metadata_type=notebook_service.StartNotebookRuntimeOperationMetadata, + ) + + # Done; return the response. + return response + + def stop_notebook_runtime( + self, + request: Optional[ + Union[notebook_service.StopNotebookRuntimeRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Stops a NotebookRuntime. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_stop_notebook_runtime(): + # Create a client + client = aiplatform_v1.NotebookServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.StopNotebookRuntimeRequest( + name="name_value", + ) + + # Make the request + operation = client.stop_notebook_runtime(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.StopNotebookRuntimeRequest, dict]): + The request object. Request message for + [NotebookService.StopNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.StopNotebookRuntime]. + name (str): + Required. The name of the + NotebookRuntime resource to be stopped. + Instead of checking whether the name is + in valid NotebookRuntime resource name + format, directly throw NotFound + exception if there is no such + NotebookRuntime in spanner. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.StopNotebookRuntimeResponse` Response message for + [NotebookService.StopNotebookRuntime][google.cloud.aiplatform.v1.NotebookService.StopNotebookRuntime]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, notebook_service.StopNotebookRuntimeRequest): + request = notebook_service.StopNotebookRuntimeRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.stop_notebook_runtime] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + notebook_service.StopNotebookRuntimeResponse, + metadata_type=notebook_service.StopNotebookRuntimeOperationMetadata, + ) + + # Done; return the response. + return response + + def create_notebook_execution_job( + self, + request: Optional[ + Union[notebook_service.CreateNotebookExecutionJobRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + notebook_execution_job: Optional[ + gca_notebook_execution_job.NotebookExecutionJob + ] = None, + notebook_execution_job_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Creates a NotebookExecutionJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_notebook_execution_job(): + # Create a client + client = aiplatform_v1.NotebookServiceClient() + + # Initialize request argument(s) + notebook_execution_job = aiplatform_v1.NotebookExecutionJob() + notebook_execution_job.notebook_runtime_template_resource_name = "notebook_runtime_template_resource_name_value" + notebook_execution_job.gcs_output_uri = "gcs_output_uri_value" + notebook_execution_job.execution_user = "execution_user_value" + + request = aiplatform_v1.CreateNotebookExecutionJobRequest( + parent="parent_value", + notebook_execution_job=notebook_execution_job, + ) + + # Make the request + operation = client.create_notebook_execution_job(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateNotebookExecutionJobRequest, dict]): + The request object. Request message for + [NotebookService.CreateNotebookExecutionJob] + parent (str): + Required. The resource name of the Location to create + the NotebookExecutionJob. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + notebook_execution_job (google.cloud.aiplatform_v1.types.NotebookExecutionJob): + Required. The NotebookExecutionJob to + create. + + This corresponds to the ``notebook_execution_job`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + notebook_execution_job_id (str): + Optional. User specified ID for the + NotebookExecutionJob. + + This corresponds to the ``notebook_execution_job_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.aiplatform_v1.types.NotebookExecutionJob` + NotebookExecutionJob represents an instance of a + notebook execution. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, notebook_execution_job, notebook_execution_job_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, notebook_service.CreateNotebookExecutionJobRequest): + request = notebook_service.CreateNotebookExecutionJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if notebook_execution_job is not None: + request.notebook_execution_job = notebook_execution_job + if notebook_execution_job_id is not None: + request.notebook_execution_job_id = notebook_execution_job_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.create_notebook_execution_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + gca_notebook_execution_job.NotebookExecutionJob, + metadata_type=notebook_service.CreateNotebookExecutionJobOperationMetadata, + ) + + # Done; return the response. + return response + + def get_notebook_execution_job( + self, + request: Optional[ + Union[notebook_service.GetNotebookExecutionJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> notebook_execution_job.NotebookExecutionJob: + r"""Gets a NotebookExecutionJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_notebook_execution_job(): + # Create a client + client = aiplatform_v1.NotebookServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetNotebookExecutionJobRequest( + name="name_value", + ) + + # Make the request + response = client.get_notebook_execution_job(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetNotebookExecutionJobRequest, dict]): + The request object. Request message for + [NotebookService.GetNotebookExecutionJob] + name (str): + Required. The name of the + NotebookExecutionJob resource. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.NotebookExecutionJob: + NotebookExecutionJob represents an + instance of a notebook execution. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, notebook_service.GetNotebookExecutionJobRequest): + request = notebook_service.GetNotebookExecutionJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.get_notebook_execution_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_notebook_execution_jobs( + self, + request: Optional[ + Union[notebook_service.ListNotebookExecutionJobsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListNotebookExecutionJobsPager: + r"""Lists NotebookExecutionJobs in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_notebook_execution_jobs(): + # Create a client + client = aiplatform_v1.NotebookServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListNotebookExecutionJobsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_notebook_execution_jobs(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListNotebookExecutionJobsRequest, dict]): + The request object. Request message for + [NotebookService.ListNotebookExecutionJobs] + parent (str): + Required. The resource name of the Location from which + to list the NotebookExecutionJobs. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.notebook_service.pagers.ListNotebookExecutionJobsPager: + Response message for + [NotebookService.CreateNotebookExecutionJob] + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, notebook_service.ListNotebookExecutionJobsRequest): + request = notebook_service.ListNotebookExecutionJobsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.list_notebook_execution_jobs + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListNotebookExecutionJobsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def delete_notebook_execution_job( + self, + request: Optional[ + Union[notebook_service.DeleteNotebookExecutionJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes a NotebookExecutionJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_notebook_execution_job(): + # Create a client + client = aiplatform_v1.NotebookServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteNotebookExecutionJobRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_notebook_execution_job(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteNotebookExecutionJobRequest, dict]): + The request object. Request message for + [NotebookService.DeleteNotebookExecutionJob] + name (str): + Required. The name of the + NotebookExecutionJob resource to be + deleted. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, notebook_service.DeleteNotebookExecutionJobRequest): + request = notebook_service.DeleteNotebookExecutionJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.delete_notebook_execution_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def __enter__(self) -> "NotebookServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + +__all__ = ("NotebookServiceClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/notebook_service/pagers.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/notebook_service/pagers.py new file mode 100644 index 0000000000000000000000000000000000000000..8e187ee9eacd27be398e895dcda7ec76858789e5 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/notebook_service/pagers.py @@ -0,0 +1,520 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import retry_async as retries_async +from typing import ( + Any, + AsyncIterator, + Awaitable, + Callable, + Sequence, + Tuple, + Optional, + Iterator, + Union, +) + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] + OptionalAsyncRetry = Union[ + retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None + ] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.types import notebook_execution_job +from google.cloud.aiplatform_v1.types import notebook_runtime +from google.cloud.aiplatform_v1.types import notebook_service + + +class ListNotebookRuntimeTemplatesPager: + """A pager for iterating through ``list_notebook_runtime_templates`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListNotebookRuntimeTemplatesResponse` object, and + provides an ``__iter__`` method to iterate through its + ``notebook_runtime_templates`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListNotebookRuntimeTemplates`` requests and continue to iterate + through the ``notebook_runtime_templates`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListNotebookRuntimeTemplatesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., notebook_service.ListNotebookRuntimeTemplatesResponse], + request: notebook_service.ListNotebookRuntimeTemplatesRequest, + response: notebook_service.ListNotebookRuntimeTemplatesResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListNotebookRuntimeTemplatesRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListNotebookRuntimeTemplatesResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = notebook_service.ListNotebookRuntimeTemplatesRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[notebook_service.ListNotebookRuntimeTemplatesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[notebook_runtime.NotebookRuntimeTemplate]: + for page in self.pages: + yield from page.notebook_runtime_templates + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListNotebookRuntimeTemplatesAsyncPager: + """A pager for iterating through ``list_notebook_runtime_templates`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListNotebookRuntimeTemplatesResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``notebook_runtime_templates`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListNotebookRuntimeTemplates`` requests and continue to iterate + through the ``notebook_runtime_templates`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListNotebookRuntimeTemplatesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[ + ..., Awaitable[notebook_service.ListNotebookRuntimeTemplatesResponse] + ], + request: notebook_service.ListNotebookRuntimeTemplatesRequest, + response: notebook_service.ListNotebookRuntimeTemplatesResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListNotebookRuntimeTemplatesRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListNotebookRuntimeTemplatesResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = notebook_service.ListNotebookRuntimeTemplatesRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages( + self, + ) -> AsyncIterator[notebook_service.ListNotebookRuntimeTemplatesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[notebook_runtime.NotebookRuntimeTemplate]: + async def async_generator(): + async for page in self.pages: + for response in page.notebook_runtime_templates: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListNotebookRuntimesPager: + """A pager for iterating through ``list_notebook_runtimes`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListNotebookRuntimesResponse` object, and + provides an ``__iter__`` method to iterate through its + ``notebook_runtimes`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListNotebookRuntimes`` requests and continue to iterate + through the ``notebook_runtimes`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListNotebookRuntimesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., notebook_service.ListNotebookRuntimesResponse], + request: notebook_service.ListNotebookRuntimesRequest, + response: notebook_service.ListNotebookRuntimesResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListNotebookRuntimesRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListNotebookRuntimesResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = notebook_service.ListNotebookRuntimesRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[notebook_service.ListNotebookRuntimesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[notebook_runtime.NotebookRuntime]: + for page in self.pages: + yield from page.notebook_runtimes + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListNotebookRuntimesAsyncPager: + """A pager for iterating through ``list_notebook_runtimes`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListNotebookRuntimesResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``notebook_runtimes`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListNotebookRuntimes`` requests and continue to iterate + through the ``notebook_runtimes`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListNotebookRuntimesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[notebook_service.ListNotebookRuntimesResponse]], + request: notebook_service.ListNotebookRuntimesRequest, + response: notebook_service.ListNotebookRuntimesResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListNotebookRuntimesRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListNotebookRuntimesResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = notebook_service.ListNotebookRuntimesRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages( + self, + ) -> AsyncIterator[notebook_service.ListNotebookRuntimesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[notebook_runtime.NotebookRuntime]: + async def async_generator(): + async for page in self.pages: + for response in page.notebook_runtimes: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListNotebookExecutionJobsPager: + """A pager for iterating through ``list_notebook_execution_jobs`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListNotebookExecutionJobsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``notebook_execution_jobs`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListNotebookExecutionJobs`` requests and continue to iterate + through the ``notebook_execution_jobs`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListNotebookExecutionJobsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., notebook_service.ListNotebookExecutionJobsResponse], + request: notebook_service.ListNotebookExecutionJobsRequest, + response: notebook_service.ListNotebookExecutionJobsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListNotebookExecutionJobsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListNotebookExecutionJobsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = notebook_service.ListNotebookExecutionJobsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[notebook_service.ListNotebookExecutionJobsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[notebook_execution_job.NotebookExecutionJob]: + for page in self.pages: + yield from page.notebook_execution_jobs + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListNotebookExecutionJobsAsyncPager: + """A pager for iterating through ``list_notebook_execution_jobs`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListNotebookExecutionJobsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``notebook_execution_jobs`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListNotebookExecutionJobs`` requests and continue to iterate + through the ``notebook_execution_jobs`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListNotebookExecutionJobsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[ + ..., Awaitable[notebook_service.ListNotebookExecutionJobsResponse] + ], + request: notebook_service.ListNotebookExecutionJobsRequest, + response: notebook_service.ListNotebookExecutionJobsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListNotebookExecutionJobsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListNotebookExecutionJobsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = notebook_service.ListNotebookExecutionJobsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages( + self, + ) -> AsyncIterator[notebook_service.ListNotebookExecutionJobsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[notebook_execution_job.NotebookExecutionJob]: + async def async_generator(): + async for page in self.pages: + for response in page.notebook_execution_jobs: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..4101a7ab7ef49ba0242b4393f7599cba85e0a806 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import PersistentResourceServiceClient +from .async_client import PersistentResourceServiceAsyncClient + +__all__ = ( + "PersistentResourceServiceClient", + "PersistentResourceServiceAsyncClient", +) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/__pycache__/client.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/__pycache__/client.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..5142386515fa9dbbd5958dde55f7fa593d308b2f Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/__pycache__/client.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/__pycache__/pagers.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/__pycache__/pagers.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..6eea73dbc3272b9f6e6f90e0c67c1ff03f2ac69a Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/__pycache__/pagers.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/async_client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/async_client.py new file mode 100644 index 0000000000000000000000000000000000000000..f819872dfffe20c8b6484ab9d53aac48fe566688 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/async_client.py @@ -0,0 +1,1898 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging as std_logging +from collections import OrderedDict +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, +) + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.services.persistent_resource_service import pagers +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.aiplatform_v1.types import persistent_resource +from google.cloud.aiplatform_v1.types import ( + persistent_resource as gca_persistent_resource, +) +from google.cloud.aiplatform_v1.types import persistent_resource_service +from google.cloud.aiplatform_v1.types import service_networking +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +import google.rpc.status_pb2 as status_pb2 # type: ignore +from .transports.base import PersistentResourceServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import PersistentResourceServiceGrpcAsyncIOTransport +from .client import PersistentResourceServiceClient + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class PersistentResourceServiceAsyncClient: + """A service for managing Vertex AI's machine learning + PersistentResource. + """ + + _client: PersistentResourceServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = PersistentResourceServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = PersistentResourceServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = ( + PersistentResourceServiceClient._DEFAULT_ENDPOINT_TEMPLATE + ) + _DEFAULT_UNIVERSE = PersistentResourceServiceClient._DEFAULT_UNIVERSE + + network_path = staticmethod(PersistentResourceServiceClient.network_path) + parse_network_path = staticmethod( + PersistentResourceServiceClient.parse_network_path + ) + network_attachment_path = staticmethod( + PersistentResourceServiceClient.network_attachment_path + ) + parse_network_attachment_path = staticmethod( + PersistentResourceServiceClient.parse_network_attachment_path + ) + persistent_resource_path = staticmethod( + PersistentResourceServiceClient.persistent_resource_path + ) + parse_persistent_resource_path = staticmethod( + PersistentResourceServiceClient.parse_persistent_resource_path + ) + reservation_path = staticmethod(PersistentResourceServiceClient.reservation_path) + parse_reservation_path = staticmethod( + PersistentResourceServiceClient.parse_reservation_path + ) + common_billing_account_path = staticmethod( + PersistentResourceServiceClient.common_billing_account_path + ) + parse_common_billing_account_path = staticmethod( + PersistentResourceServiceClient.parse_common_billing_account_path + ) + common_folder_path = staticmethod( + PersistentResourceServiceClient.common_folder_path + ) + parse_common_folder_path = staticmethod( + PersistentResourceServiceClient.parse_common_folder_path + ) + common_organization_path = staticmethod( + PersistentResourceServiceClient.common_organization_path + ) + parse_common_organization_path = staticmethod( + PersistentResourceServiceClient.parse_common_organization_path + ) + common_project_path = staticmethod( + PersistentResourceServiceClient.common_project_path + ) + parse_common_project_path = staticmethod( + PersistentResourceServiceClient.parse_common_project_path + ) + common_location_path = staticmethod( + PersistentResourceServiceClient.common_location_path + ) + parse_common_location_path = staticmethod( + PersistentResourceServiceClient.parse_common_location_path + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + PersistentResourceServiceAsyncClient: The constructed client. + """ + sa_info_func = ( + PersistentResourceServiceClient.from_service_account_info.__func__ # type: ignore + ) + return sa_info_func(PersistentResourceServiceAsyncClient, info, *args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + PersistentResourceServiceAsyncClient: The constructed client. + """ + sa_file_func = ( + PersistentResourceServiceClient.from_service_account_file.__func__ # type: ignore + ) + return sa_file_func( + PersistentResourceServiceAsyncClient, filename, *args, **kwargs + ) + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[ClientOptions] = None + ): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return PersistentResourceServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> PersistentResourceServiceTransport: + """Returns the transport used by the client instance. + + Returns: + PersistentResourceServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = PersistentResourceServiceClient.get_transport_class + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + PersistentResourceServiceTransport, + Callable[..., PersistentResourceServiceTransport], + ] + ] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the persistent resource service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,PersistentResourceServiceTransport,Callable[..., PersistentResourceServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport to use. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the PersistentResourceServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = PersistentResourceServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.PersistentResourceServiceAsyncClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "universeDomain": getattr( + self._client._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._client._transport._credentials).__module__}.{type(self._client._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, "get_cred_info", lambda: None + )(), + } + if hasattr(self._client._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "credentialsType": None, + } + ), + ) + + async def create_persistent_resource( + self, + request: Optional[ + Union[persistent_resource_service.CreatePersistentResourceRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + persistent_resource: Optional[ + gca_persistent_resource.PersistentResource + ] = None, + persistent_resource_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Creates a PersistentResource. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_persistent_resource(): + # Create a client + client = aiplatform_v1.PersistentResourceServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.CreatePersistentResourceRequest( + parent="parent_value", + persistent_resource_id="persistent_resource_id_value", + ) + + # Make the request + operation = client.create_persistent_resource(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreatePersistentResourceRequest, dict]]): + The request object. Request message for + [PersistentResourceService.CreatePersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.CreatePersistentResource]. + parent (:class:`str`): + Required. The resource name of the Location to create + the PersistentResource in. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + persistent_resource (:class:`google.cloud.aiplatform_v1.types.PersistentResource`): + Required. The PersistentResource to + create. + + This corresponds to the ``persistent_resource`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + persistent_resource_id (:class:`str`): + Required. The ID to use for the PersistentResource, + which become the final component of the + PersistentResource's resource name. + + The maximum length is 63 characters, and valid + characters are ``/^[a-z]([a-z0-9-]{0,61}[a-z0-9])?$/``. + + This corresponds to the ``persistent_resource_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.PersistentResource` Represents long-lasting resources that are dedicated to users to runs custom + workloads. A PersistentResource can have multiple + node pools and each node pool can have its own + machine spec. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, persistent_resource, persistent_resource_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, persistent_resource_service.CreatePersistentResourceRequest + ): + request = persistent_resource_service.CreatePersistentResourceRequest( + request + ) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if persistent_resource is not None: + request.persistent_resource = persistent_resource + if persistent_resource_id is not None: + request.persistent_resource_id = persistent_resource_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_persistent_resource + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gca_persistent_resource.PersistentResource, + metadata_type=persistent_resource_service.CreatePersistentResourceOperationMetadata, + ) + + # Done; return the response. + return response + + async def get_persistent_resource( + self, + request: Optional[ + Union[persistent_resource_service.GetPersistentResourceRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> persistent_resource.PersistentResource: + r"""Gets a PersistentResource. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_persistent_resource(): + # Create a client + client = aiplatform_v1.PersistentResourceServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetPersistentResourceRequest( + name="name_value", + ) + + # Make the request + response = await client.get_persistent_resource(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetPersistentResourceRequest, dict]]): + The request object. Request message for + [PersistentResourceService.GetPersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.GetPersistentResource]. + name (:class:`str`): + Required. The name of the PersistentResource resource. + Format: + ``projects/{project_id_or_number}/locations/{location_id}/persistentResources/{persistent_resource_id}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.PersistentResource: + Represents long-lasting resources + that are dedicated to users to runs + custom workloads. A PersistentResource + can have multiple node pools and each + node pool can have its own machine spec. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, persistent_resource_service.GetPersistentResourceRequest + ): + request = persistent_resource_service.GetPersistentResourceRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_persistent_resource + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_persistent_resources( + self, + request: Optional[ + Union[persistent_resource_service.ListPersistentResourcesRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListPersistentResourcesAsyncPager: + r"""Lists PersistentResources in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_persistent_resources(): + # Create a client + client = aiplatform_v1.PersistentResourceServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListPersistentResourcesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_persistent_resources(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListPersistentResourcesRequest, dict]]): + The request object. Request message for + [PersistentResourceService.ListPersistentResources][google.cloud.aiplatform.v1.PersistentResourceService.ListPersistentResources]. + parent (:class:`str`): + Required. The resource name of the Location to list the + PersistentResources from. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.persistent_resource_service.pagers.ListPersistentResourcesAsyncPager: + Response message for + [PersistentResourceService.ListPersistentResources][google.cloud.aiplatform.v1.PersistentResourceService.ListPersistentResources] + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, persistent_resource_service.ListPersistentResourcesRequest + ): + request = persistent_resource_service.ListPersistentResourcesRequest( + request + ) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_persistent_resources + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListPersistentResourcesAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_persistent_resource( + self, + request: Optional[ + Union[persistent_resource_service.DeletePersistentResourceRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a PersistentResource. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_persistent_resource(): + # Create a client + client = aiplatform_v1.PersistentResourceServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeletePersistentResourceRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_persistent_resource(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeletePersistentResourceRequest, dict]]): + The request object. Request message for + [PersistentResourceService.DeletePersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.DeletePersistentResource]. + name (:class:`str`): + Required. The name of the PersistentResource to be + deleted. Format: + ``projects/{project}/locations/{location}/persistentResources/{persistent_resource}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, persistent_resource_service.DeletePersistentResourceRequest + ): + request = persistent_resource_service.DeletePersistentResourceRequest( + request + ) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_persistent_resource + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def update_persistent_resource( + self, + request: Optional[ + Union[persistent_resource_service.UpdatePersistentResourceRequest, dict] + ] = None, + *, + persistent_resource: Optional[ + gca_persistent_resource.PersistentResource + ] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Updates a PersistentResource. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_update_persistent_resource(): + # Create a client + client = aiplatform_v1.PersistentResourceServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.UpdatePersistentResourceRequest( + ) + + # Make the request + operation = client.update_persistent_resource(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.UpdatePersistentResourceRequest, dict]]): + The request object. Request message for + UpdatePersistentResource method. + persistent_resource (:class:`google.cloud.aiplatform_v1.types.PersistentResource`): + Required. The PersistentResource to update. + + The PersistentResource's ``name`` field is used to + identify the PersistentResource to update. Format: + ``projects/{project}/locations/{location}/persistentResources/{persistent_resource}`` + + This corresponds to the ``persistent_resource`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Required. Specify the fields to be + overwritten in the PersistentResource by + the update method. + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.PersistentResource` Represents long-lasting resources that are dedicated to users to runs custom + workloads. A PersistentResource can have multiple + node pools and each node pool can have its own + machine spec. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [persistent_resource, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, persistent_resource_service.UpdatePersistentResourceRequest + ): + request = persistent_resource_service.UpdatePersistentResourceRequest( + request + ) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if persistent_resource is not None: + request.persistent_resource = persistent_resource + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.update_persistent_resource + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("persistent_resource.name", request.persistent_resource.name),) + ), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + gca_persistent_resource.PersistentResource, + metadata_type=persistent_resource_service.UpdatePersistentResourceOperationMetadata, + ) + + # Done; return the response. + return response + + async def reboot_persistent_resource( + self, + request: Optional[ + Union[persistent_resource_service.RebootPersistentResourceRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Reboots a PersistentResource. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_reboot_persistent_resource(): + # Create a client + client = aiplatform_v1.PersistentResourceServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.RebootPersistentResourceRequest( + name="name_value", + ) + + # Make the request + operation = client.reboot_persistent_resource(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.RebootPersistentResourceRequest, dict]]): + The request object. Request message for + [PersistentResourceService.RebootPersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.RebootPersistentResource]. + name (:class:`str`): + Required. The name of the PersistentResource resource. + Format: + ``projects/{project_id_or_number}/locations/{location_id}/persistentResources/{persistent_resource_id}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.PersistentResource` Represents long-lasting resources that are dedicated to users to runs custom + workloads. A PersistentResource can have multiple + node pools and each node pool can have its own + machine spec. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, persistent_resource_service.RebootPersistentResourceRequest + ): + request = persistent_resource_service.RebootPersistentResourceRequest( + request + ) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.reboot_persistent_resource + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + persistent_resource.PersistentResource, + metadata_type=persistent_resource_service.RebootPersistentResourceOperationMetadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[ + self._client._transport.test_iam_permissions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self) -> "PersistentResourceServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +__all__ = ("PersistentResourceServiceAsyncClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/client.py new file mode 100644 index 0000000000000000000000000000000000000000..7e3bd46feb65b35edd1adb1efe78b45ff4a72c1f --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/client.py @@ -0,0 +1,2441 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from http import HTTPStatus +import json +import logging as std_logging +import os +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, + cast, +) +import warnings + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + +from google.cloud.aiplatform_v1.services.persistent_resource_service import pagers +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.aiplatform_v1.types import persistent_resource +from google.cloud.aiplatform_v1.types import ( + persistent_resource as gca_persistent_resource, +) +from google.cloud.aiplatform_v1.types import persistent_resource_service +from google.cloud.aiplatform_v1.types import service_networking +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.field_mask_pb2 as field_mask_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +import google.rpc.status_pb2 as status_pb2 # type: ignore +from .transports.base import PersistentResourceServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import PersistentResourceServiceGrpcTransport +from .transports.grpc_asyncio import PersistentResourceServiceGrpcAsyncIOTransport +from .transports.rest import PersistentResourceServiceRestTransport + +try: + from .transports.rest_asyncio import AsyncPersistentResourceServiceRestTransport + + HAS_ASYNC_REST_DEPENDENCIES = True +except ImportError as e: # pragma: NO COVER + HAS_ASYNC_REST_DEPENDENCIES = False + ASYNC_REST_EXCEPTION = e + + +class PersistentResourceServiceClientMeta(type): + """Metaclass for the PersistentResourceService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + + _transport_registry = ( + OrderedDict() + ) # type: Dict[str, Type[PersistentResourceServiceTransport]] + _transport_registry["grpc"] = PersistentResourceServiceGrpcTransport + _transport_registry["grpc_asyncio"] = PersistentResourceServiceGrpcAsyncIOTransport + _transport_registry["rest"] = PersistentResourceServiceRestTransport + if HAS_ASYNC_REST_DEPENDENCIES: # pragma: NO COVER + _transport_registry["rest_asyncio"] = ( + AsyncPersistentResourceServiceRestTransport + ) + + def get_transport_class( + cls, + label: Optional[str] = None, + ) -> Type[PersistentResourceServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if ( + label == "rest_asyncio" and not HAS_ASYNC_REST_DEPENDENCIES + ): # pragma: NO COVER + raise ASYNC_REST_EXCEPTION + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class PersistentResourceServiceClient(metaclass=PersistentResourceServiceClientMeta): + """A service for managing Vertex AI's machine learning + PersistentResource. + """ + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "aiplatform.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @staticmethod + def _use_client_cert_effective(): + """Returns whether client certificate should be used for mTLS if the + google-auth version supports should_use_client_cert automatic mTLS enablement. + + Alternatively, read from the GOOGLE_API_USE_CLIENT_CERTIFICATE env var. + + Returns: + bool: whether client certificate should be used for mTLS + Raises: + ValueError: (If using a version of google-auth without should_use_client_cert and + GOOGLE_API_USE_CLIENT_CERTIFICATE is set to an unexpected value.) + """ + # check if google-auth version supports should_use_client_cert for automatic mTLS enablement + if hasattr(mtls, "should_use_client_cert"): # pragma: NO COVER + return mtls.should_use_client_cert() + else: # pragma: NO COVER + # if unsupported, fallback to reading from env var + use_client_cert_str = os.getenv( + "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false" + ).lower() + if use_client_cert_str not in ("true", "false"): + raise ValueError( + "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be" + " either `true` or `false`" + ) + return use_client_cert_str == "true" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + PersistentResourceServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + PersistentResourceServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file(filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> PersistentResourceServiceTransport: + """Returns the transport used by the client instance. + + Returns: + PersistentResourceServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def network_path( + project: str, + network: str, + ) -> str: + """Returns a fully-qualified network string.""" + return "projects/{project}/global/networks/{network}".format( + project=project, + network=network, + ) + + @staticmethod + def parse_network_path(path: str) -> Dict[str, str]: + """Parses a network path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/global/networks/(?P.+?)$", path + ) + return m.groupdict() if m else {} + + @staticmethod + def network_attachment_path( + project: str, + region: str, + networkattachment: str, + ) -> str: + """Returns a fully-qualified network_attachment string.""" + return "projects/{project}/regions/{region}/networkAttachments/{networkattachment}".format( + project=project, + region=region, + networkattachment=networkattachment, + ) + + @staticmethod + def parse_network_attachment_path(path: str) -> Dict[str, str]: + """Parses a network_attachment path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/regions/(?P.+?)/networkAttachments/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def persistent_resource_path( + project: str, + location: str, + persistent_resource: str, + ) -> str: + """Returns a fully-qualified persistent_resource string.""" + return "projects/{project}/locations/{location}/persistentResources/{persistent_resource}".format( + project=project, + location=location, + persistent_resource=persistent_resource, + ) + + @staticmethod + def parse_persistent_resource_path(path: str) -> Dict[str, str]: + """Parses a persistent_resource path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/persistentResources/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def reservation_path( + project_id_or_number: str, + zone: str, + reservation_name: str, + ) -> str: + """Returns a fully-qualified reservation string.""" + return "projects/{project_id_or_number}/zones/{zone}/reservations/{reservation_name}".format( + project_id_or_number=project_id_or_number, + zone=zone, + reservation_name=reservation_name, + ) + + @staticmethod + def parse_reservation_path(path: str) -> Dict[str, str]: + """Parses a reservation path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/zones/(?P.+?)/reservations/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path( + billing_account: str, + ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format( + billing_account=billing_account, + ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str, str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path( + folder: str, + ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format( + folder=folder, + ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str, str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path( + organization: str, + ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format( + organization=organization, + ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str, str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path( + project: str, + ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format( + project=project, + ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str, str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path( + project: str, + location: str, + ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format( + project=project, + location=location, + ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str, str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[client_options_lib.ClientOptions] = None + ): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn( + "get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning, + ) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = PersistentResourceServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert: + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = PersistentResourceServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + return use_client_cert, use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint( + api_override, client_cert_source, universe_domain, use_mtls_endpoint + ): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + _default_universe = PersistentResourceServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError( + f"mTLS is not supported in any universe other than {_default_universe}." + ) + api_endpoint = PersistentResourceServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = ( + PersistentResourceServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format( + UNIVERSE_DOMAIN=universe_domain + ) + ) + return api_endpoint + + @staticmethod + def _get_universe_domain( + client_universe_domain: Optional[str], universe_domain_env: Optional[str] + ) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = PersistentResourceServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + + # NOTE (b/349488459): universe validation is disabled until further notice. + return True + + def _add_cred_info_for_auth_errors( + self, error: core_exceptions.GoogleAPICallError + ) -> None: + """Adds credential info string to error details for 401/403/404 errors. + + Args: + error (google.api_core.exceptions.GoogleAPICallError): The error to add the cred info. + """ + if error.code not in [ + HTTPStatus.UNAUTHORIZED, + HTTPStatus.FORBIDDEN, + HTTPStatus.NOT_FOUND, + ]: + return + + cred = self._transport._credentials + + # get_cred_info is only available in google-auth>=2.35.0 + if not hasattr(cred, "get_cred_info"): + return + + # ignore the type check since pypy test fails when get_cred_info + # is not available + cred_info = cred.get_cred_info() # type: ignore + if cred_info and hasattr(error._details, "append"): + error._details.append(json.dumps(cred_info)) + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + PersistentResourceServiceTransport, + Callable[..., PersistentResourceServiceTransport], + ] + ] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the persistent resource service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,PersistentResourceServiceTransport,Callable[..., PersistentResourceServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the PersistentResourceServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast( + client_options_lib.ClientOptions, self._client_options + ) + + universe_domain_opt = getattr(self._client_options, "universe_domain", None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = ( + PersistentResourceServiceClient._read_environment_variables() + ) + self._client_cert_source = ( + PersistentResourceServiceClient._get_client_cert_source( + self._client_options.client_cert_source, self._use_client_cert + ) + ) + self._universe_domain = PersistentResourceServiceClient._get_universe_domain( + universe_domain_opt, self._universe_domain_env + ) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + if CLIENT_LOGGING_SUPPORTED: # pragma: NO COVER + # Setup logging. + client_logging.initialize_logging() + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError( + "client_options.api_key and credentials are mutually exclusive" + ) + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance(transport, PersistentResourceServiceTransport) + if transport_provided: + # transport is a PersistentResourceServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError( + "When providing a transport instance, " + "provide its credentials directly." + ) + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(PersistentResourceServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = ( + self._api_endpoint + or PersistentResourceServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint, + ) + ) + + if not transport_provided: + transport_init: Union[ + Type[PersistentResourceServiceTransport], + Callable[..., PersistentResourceServiceTransport], + ] = ( + PersistentResourceServiceClient.get_transport_class(transport) + if isinstance(transport, str) or transport is None + else cast(Callable[..., PersistentResourceServiceTransport], transport) + ) + + if "rest_asyncio" in str(transport_init): + unsupported_params = { + "google.api_core.client_options.ClientOptions.credentials_file": self._client_options.credentials_file, + "google.api_core.client_options.ClientOptions.scopes": self._client_options.scopes, + "google.api_core.client_options.ClientOptions.quota_project_id": self._client_options.quota_project_id, + "google.api_core.client_options.ClientOptions.client_cert_source": self._client_options.client_cert_source, + "google.api_core.client_options.ClientOptions.api_audience": self._client_options.api_audience, + } + provided_unsupported_params = [ + name + for name, value in unsupported_params.items() + if value is not None + ] + if provided_unsupported_params: + raise core_exceptions.AsyncRestUnsupportedParameterError( # type: ignore + f"The following provided parameters are not supported for `transport=rest_asyncio`: {', '.join(provided_unsupported_params)}" + ) + self._transport = transport_init( + credentials=credentials, + host=self._api_endpoint, + client_info=client_info, + ) + return + + import google.auth._default # type: ignore + + if api_key_value and hasattr( + google.auth._default, "get_api_key_credentials" + ): + credentials = google.auth._default.get_api_key_credentials( + api_key_value + ) + + # initialize with the provided callable or the passed in class + self._transport = transport_init( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + if "async" not in str(self._transport): + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.PersistentResourceServiceClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "universeDomain": getattr( + self._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._transport._credentials).__module__}.{type(self._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, + "get_cred_info", + lambda: None, + )(), + } + if hasattr(self._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "credentialsType": None, + } + ), + ) + + def create_persistent_resource( + self, + request: Optional[ + Union[persistent_resource_service.CreatePersistentResourceRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + persistent_resource: Optional[ + gca_persistent_resource.PersistentResource + ] = None, + persistent_resource_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Creates a PersistentResource. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_persistent_resource(): + # Create a client + client = aiplatform_v1.PersistentResourceServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.CreatePersistentResourceRequest( + parent="parent_value", + persistent_resource_id="persistent_resource_id_value", + ) + + # Make the request + operation = client.create_persistent_resource(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreatePersistentResourceRequest, dict]): + The request object. Request message for + [PersistentResourceService.CreatePersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.CreatePersistentResource]. + parent (str): + Required. The resource name of the Location to create + the PersistentResource in. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + persistent_resource (google.cloud.aiplatform_v1.types.PersistentResource): + Required. The PersistentResource to + create. + + This corresponds to the ``persistent_resource`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + persistent_resource_id (str): + Required. The ID to use for the PersistentResource, + which become the final component of the + PersistentResource's resource name. + + The maximum length is 63 characters, and valid + characters are ``/^[a-z]([a-z0-9-]{0,61}[a-z0-9])?$/``. + + This corresponds to the ``persistent_resource_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.PersistentResource` Represents long-lasting resources that are dedicated to users to runs custom + workloads. A PersistentResource can have multiple + node pools and each node pool can have its own + machine spec. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, persistent_resource, persistent_resource_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, persistent_resource_service.CreatePersistentResourceRequest + ): + request = persistent_resource_service.CreatePersistentResourceRequest( + request + ) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if persistent_resource is not None: + request.persistent_resource = persistent_resource + if persistent_resource_id is not None: + request.persistent_resource_id = persistent_resource_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.create_persistent_resource + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + gca_persistent_resource.PersistentResource, + metadata_type=persistent_resource_service.CreatePersistentResourceOperationMetadata, + ) + + # Done; return the response. + return response + + def get_persistent_resource( + self, + request: Optional[ + Union[persistent_resource_service.GetPersistentResourceRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> persistent_resource.PersistentResource: + r"""Gets a PersistentResource. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_persistent_resource(): + # Create a client + client = aiplatform_v1.PersistentResourceServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetPersistentResourceRequest( + name="name_value", + ) + + # Make the request + response = client.get_persistent_resource(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetPersistentResourceRequest, dict]): + The request object. Request message for + [PersistentResourceService.GetPersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.GetPersistentResource]. + name (str): + Required. The name of the PersistentResource resource. + Format: + ``projects/{project_id_or_number}/locations/{location_id}/persistentResources/{persistent_resource_id}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.PersistentResource: + Represents long-lasting resources + that are dedicated to users to runs + custom workloads. A PersistentResource + can have multiple node pools and each + node pool can have its own machine spec. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, persistent_resource_service.GetPersistentResourceRequest + ): + request = persistent_resource_service.GetPersistentResourceRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_persistent_resource] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_persistent_resources( + self, + request: Optional[ + Union[persistent_resource_service.ListPersistentResourcesRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListPersistentResourcesPager: + r"""Lists PersistentResources in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_persistent_resources(): + # Create a client + client = aiplatform_v1.PersistentResourceServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListPersistentResourcesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_persistent_resources(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListPersistentResourcesRequest, dict]): + The request object. Request message for + [PersistentResourceService.ListPersistentResources][google.cloud.aiplatform.v1.PersistentResourceService.ListPersistentResources]. + parent (str): + Required. The resource name of the Location to list the + PersistentResources from. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.persistent_resource_service.pagers.ListPersistentResourcesPager: + Response message for + [PersistentResourceService.ListPersistentResources][google.cloud.aiplatform.v1.PersistentResourceService.ListPersistentResources] + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, persistent_resource_service.ListPersistentResourcesRequest + ): + request = persistent_resource_service.ListPersistentResourcesRequest( + request + ) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.list_persistent_resources + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListPersistentResourcesPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def delete_persistent_resource( + self, + request: Optional[ + Union[persistent_resource_service.DeletePersistentResourceRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes a PersistentResource. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_persistent_resource(): + # Create a client + client = aiplatform_v1.PersistentResourceServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeletePersistentResourceRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_persistent_resource(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeletePersistentResourceRequest, dict]): + The request object. Request message for + [PersistentResourceService.DeletePersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.DeletePersistentResource]. + name (str): + Required. The name of the PersistentResource to be + deleted. Format: + ``projects/{project}/locations/{location}/persistentResources/{persistent_resource}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, persistent_resource_service.DeletePersistentResourceRequest + ): + request = persistent_resource_service.DeletePersistentResourceRequest( + request + ) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.delete_persistent_resource + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def update_persistent_resource( + self, + request: Optional[ + Union[persistent_resource_service.UpdatePersistentResourceRequest, dict] + ] = None, + *, + persistent_resource: Optional[ + gca_persistent_resource.PersistentResource + ] = None, + update_mask: Optional[field_mask_pb2.FieldMask] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Updates a PersistentResource. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_update_persistent_resource(): + # Create a client + client = aiplatform_v1.PersistentResourceServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.UpdatePersistentResourceRequest( + ) + + # Make the request + operation = client.update_persistent_resource(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.UpdatePersistentResourceRequest, dict]): + The request object. Request message for + UpdatePersistentResource method. + persistent_resource (google.cloud.aiplatform_v1.types.PersistentResource): + Required. The PersistentResource to update. + + The PersistentResource's ``name`` field is used to + identify the PersistentResource to update. Format: + ``projects/{project}/locations/{location}/persistentResources/{persistent_resource}`` + + This corresponds to the ``persistent_resource`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Required. Specify the fields to be + overwritten in the PersistentResource by + the update method. + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.PersistentResource` Represents long-lasting resources that are dedicated to users to runs custom + workloads. A PersistentResource can have multiple + node pools and each node pool can have its own + machine spec. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [persistent_resource, update_mask] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, persistent_resource_service.UpdatePersistentResourceRequest + ): + request = persistent_resource_service.UpdatePersistentResourceRequest( + request + ) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if persistent_resource is not None: + request.persistent_resource = persistent_resource + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.update_persistent_resource + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata( + (("persistent_resource.name", request.persistent_resource.name),) + ), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + gca_persistent_resource.PersistentResource, + metadata_type=persistent_resource_service.UpdatePersistentResourceOperationMetadata, + ) + + # Done; return the response. + return response + + def reboot_persistent_resource( + self, + request: Optional[ + Union[persistent_resource_service.RebootPersistentResourceRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Reboots a PersistentResource. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_reboot_persistent_resource(): + # Create a client + client = aiplatform_v1.PersistentResourceServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.RebootPersistentResourceRequest( + name="name_value", + ) + + # Make the request + operation = client.reboot_persistent_resource(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.RebootPersistentResourceRequest, dict]): + The request object. Request message for + [PersistentResourceService.RebootPersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.RebootPersistentResource]. + name (str): + Required. The name of the PersistentResource resource. + Format: + ``projects/{project_id_or_number}/locations/{location_id}/persistentResources/{persistent_resource_id}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.PersistentResource` Represents long-lasting resources that are dedicated to users to runs custom + workloads. A PersistentResource can have multiple + node pools and each node pool can have its own + machine spec. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance( + request, persistent_resource_service.RebootPersistentResourceRequest + ): + request = persistent_resource_service.RebootPersistentResourceRequest( + request + ) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.reboot_persistent_resource + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + persistent_resource.PersistentResource, + metadata_type=persistent_resource_service.RebootPersistentResourceOperationMetadata, + ) + + # Done; return the response. + return response + + def __enter__(self) -> "PersistentResourceServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + +__all__ = ("PersistentResourceServiceClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/pagers.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/pagers.py new file mode 100644 index 0000000000000000000000000000000000000000..2473690b731fac384065a2a2deaaff9264c77b8a --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/pagers.py @@ -0,0 +1,209 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import retry_async as retries_async +from typing import ( + Any, + AsyncIterator, + Awaitable, + Callable, + Sequence, + Tuple, + Optional, + Iterator, + Union, +) + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] + OptionalAsyncRetry = Union[ + retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None + ] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.types import persistent_resource +from google.cloud.aiplatform_v1.types import persistent_resource_service + + +class ListPersistentResourcesPager: + """A pager for iterating through ``list_persistent_resources`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListPersistentResourcesResponse` object, and + provides an ``__iter__`` method to iterate through its + ``persistent_resources`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListPersistentResources`` requests and continue to iterate + through the ``persistent_resources`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListPersistentResourcesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[ + ..., persistent_resource_service.ListPersistentResourcesResponse + ], + request: persistent_resource_service.ListPersistentResourcesRequest, + response: persistent_resource_service.ListPersistentResourcesResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListPersistentResourcesRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListPersistentResourcesResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = persistent_resource_service.ListPersistentResourcesRequest( + request + ) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages( + self, + ) -> Iterator[persistent_resource_service.ListPersistentResourcesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[persistent_resource.PersistentResource]: + for page in self.pages: + yield from page.persistent_resources + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListPersistentResourcesAsyncPager: + """A pager for iterating through ``list_persistent_resources`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListPersistentResourcesResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``persistent_resources`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListPersistentResources`` requests and continue to iterate + through the ``persistent_resources`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListPersistentResourcesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[ + ..., Awaitable[persistent_resource_service.ListPersistentResourcesResponse] + ], + request: persistent_resource_service.ListPersistentResourcesRequest, + response: persistent_resource_service.ListPersistentResourcesResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListPersistentResourcesRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListPersistentResourcesResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = persistent_resource_service.ListPersistentResourcesRequest( + request + ) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages( + self, + ) -> AsyncIterator[persistent_resource_service.ListPersistentResourcesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[persistent_resource.PersistentResource]: + async def async_generator(): + async for page in self.pages: + for response in page.persistent_resources: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/transports/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/transports/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..9e0e3549e656309e40326f2105d6082d6320d603 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/transports/__init__.py @@ -0,0 +1,56 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from typing import Dict, Type, Tuple + +from .base import PersistentResourceServiceTransport +from .grpc import PersistentResourceServiceGrpcTransport +from .grpc_asyncio import PersistentResourceServiceGrpcAsyncIOTransport +from .rest import PersistentResourceServiceRestTransport +from .rest import PersistentResourceServiceRestInterceptor + +ASYNC_REST_CLASSES: Tuple[str, ...] +try: + from .rest_asyncio import AsyncPersistentResourceServiceRestTransport + from .rest_asyncio import AsyncPersistentResourceServiceRestInterceptor + + ASYNC_REST_CLASSES = ( + "AsyncPersistentResourceServiceRestTransport", + "AsyncPersistentResourceServiceRestInterceptor", + ) + HAS_REST_ASYNC = True +except ImportError: # pragma: NO COVER + ASYNC_REST_CLASSES = () + HAS_REST_ASYNC = False + + +# Compile a registry of transports. +_transport_registry = ( + OrderedDict() +) # type: Dict[str, Type[PersistentResourceServiceTransport]] +_transport_registry["grpc"] = PersistentResourceServiceGrpcTransport +_transport_registry["grpc_asyncio"] = PersistentResourceServiceGrpcAsyncIOTransport +_transport_registry["rest"] = PersistentResourceServiceRestTransport +if HAS_REST_ASYNC: # pragma: NO COVER + _transport_registry["rest_asyncio"] = AsyncPersistentResourceServiceRestTransport + +__all__ = ( + "PersistentResourceServiceTransport", + "PersistentResourceServiceGrpcTransport", + "PersistentResourceServiceGrpcAsyncIOTransport", + "PersistentResourceServiceRestTransport", + "PersistentResourceServiceRestInterceptor", +) + ASYNC_REST_CLASSES diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/transports/base.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/transports/base.py new file mode 100644 index 0000000000000000000000000000000000000000..7d6abdf7ed2b55dfa51653a7c9a5f11d24d3ccd2 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/transports/base.py @@ -0,0 +1,406 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import abc +from typing import Awaitable, Callable, Dict, Optional, Sequence, Union + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +import google.auth # type: ignore +import google.api_core +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import operations_v1 +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +from google.cloud.aiplatform_v1.types import persistent_resource +from google.cloud.aiplatform_v1.types import persistent_resource_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +class PersistentResourceServiceTransport(abc.ABC): + """Abstract transport class for PersistentResourceService.""" + + AUTH_SCOPES = ("https://www.googleapis.com/auth/cloud-platform",) + + DEFAULT_HOST: str = "aiplatform.googleapis.com" + + def __init__( + self, + *, + host: str = DEFAULT_HOST, + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + **kwargs, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. This argument will be + removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A list of scopes. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + """ + + # Save the scopes. + self._scopes = scopes + if not hasattr(self, "_ignore_credentials"): + self._ignore_credentials: bool = False + + # If no credentials are provided, then determine the appropriate + # defaults. + if credentials and credentials_file: + raise core_exceptions.DuplicateCredentialArgs( + "'credentials_file' and 'credentials' are mutually exclusive" + ) + + if credentials_file is not None: + credentials, _ = google.auth.load_credentials_from_file( + credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + default_scopes=self.AUTH_SCOPES, + ) + elif credentials is None and not self._ignore_credentials: + credentials, _ = google.auth.default( + scopes=scopes, + quota_project_id=quota_project_id, + default_scopes=self.AUTH_SCOPES, + ) + # Don't apply audience if the credentials file passed from user. + if hasattr(credentials, "with_gdch_audience"): + credentials = credentials.with_gdch_audience( + api_audience if api_audience else host + ) + + # If the credentials are service account credentials, then always try to use self signed JWT. + if ( + always_use_jwt_access + and isinstance(credentials, service_account.Credentials) + and hasattr(service_account.Credentials, "with_always_use_jwt_access") + ): + credentials = credentials.with_always_use_jwt_access(True) + + # Save the credentials. + self._credentials = credentials + + # Save the hostname. Default to port 443 (HTTPS) if none is specified. + if ":" not in host: + host += ":443" + self._host = host + + @property + def host(self): + return self._host + + def _prep_wrapped_messages(self, client_info): + # Precompute the wrapped methods. + self._wrapped_methods = { + self.create_persistent_resource: gapic_v1.method.wrap_method( + self.create_persistent_resource, + default_timeout=None, + client_info=client_info, + ), + self.get_persistent_resource: gapic_v1.method.wrap_method( + self.get_persistent_resource, + default_timeout=None, + client_info=client_info, + ), + self.list_persistent_resources: gapic_v1.method.wrap_method( + self.list_persistent_resources, + default_timeout=None, + client_info=client_info, + ), + self.delete_persistent_resource: gapic_v1.method.wrap_method( + self.delete_persistent_resource, + default_timeout=None, + client_info=client_info, + ), + self.update_persistent_resource: gapic_v1.method.wrap_method( + self.update_persistent_resource, + default_timeout=None, + client_info=client_info, + ), + self.reboot_persistent_resource: gapic_v1.method.wrap_method( + self.reboot_persistent_resource, + default_timeout=None, + client_info=client_info, + ), + self.get_location: gapic_v1.method.wrap_method( + self.get_location, + default_timeout=None, + client_info=client_info, + ), + self.list_locations: gapic_v1.method.wrap_method( + self.list_locations, + default_timeout=None, + client_info=client_info, + ), + self.get_iam_policy: gapic_v1.method.wrap_method( + self.get_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.set_iam_policy: gapic_v1.method.wrap_method( + self.set_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.test_iam_permissions: gapic_v1.method.wrap_method( + self.test_iam_permissions, + default_timeout=None, + client_info=client_info, + ), + self.cancel_operation: gapic_v1.method.wrap_method( + self.cancel_operation, + default_timeout=None, + client_info=client_info, + ), + self.delete_operation: gapic_v1.method.wrap_method( + self.delete_operation, + default_timeout=None, + client_info=client_info, + ), + self.get_operation: gapic_v1.method.wrap_method( + self.get_operation, + default_timeout=None, + client_info=client_info, + ), + self.list_operations: gapic_v1.method.wrap_method( + self.list_operations, + default_timeout=None, + client_info=client_info, + ), + self.wait_operation: gapic_v1.method.wrap_method( + self.wait_operation, + default_timeout=None, + client_info=client_info, + ), + } + + def close(self): + """Closes resources associated with the transport. + + .. warning:: + Only call this method if the transport is NOT shared + with other clients - this may cause errors in other clients! + """ + raise NotImplementedError() + + @property + def operations_client(self): + """Return the client designed to process long-running operations.""" + raise NotImplementedError() + + @property + def create_persistent_resource( + self, + ) -> Callable[ + [persistent_resource_service.CreatePersistentResourceRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def get_persistent_resource( + self, + ) -> Callable[ + [persistent_resource_service.GetPersistentResourceRequest], + Union[ + persistent_resource.PersistentResource, + Awaitable[persistent_resource.PersistentResource], + ], + ]: + raise NotImplementedError() + + @property + def list_persistent_resources( + self, + ) -> Callable[ + [persistent_resource_service.ListPersistentResourcesRequest], + Union[ + persistent_resource_service.ListPersistentResourcesResponse, + Awaitable[persistent_resource_service.ListPersistentResourcesResponse], + ], + ]: + raise NotImplementedError() + + @property + def delete_persistent_resource( + self, + ) -> Callable[ + [persistent_resource_service.DeletePersistentResourceRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def update_persistent_resource( + self, + ) -> Callable[ + [persistent_resource_service.UpdatePersistentResourceRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def reboot_persistent_resource( + self, + ) -> Callable[ + [persistent_resource_service.RebootPersistentResourceRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], + Union[ + operations_pb2.ListOperationsResponse, + Awaitable[operations_pb2.ListOperationsResponse], + ], + ]: + raise NotImplementedError() + + @property + def get_operation( + self, + ) -> Callable[ + [operations_pb2.GetOperationRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def cancel_operation( + self, + ) -> Callable[ + [operations_pb2.CancelOperationRequest], + None, + ]: + raise NotImplementedError() + + @property + def delete_operation( + self, + ) -> Callable[ + [operations_pb2.DeleteOperationRequest], + None, + ]: + raise NotImplementedError() + + @property + def wait_operation( + self, + ) -> Callable[ + [operations_pb2.WaitOperationRequest], + Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]], + ]: + raise NotImplementedError() + + @property + def set_iam_policy( + self, + ) -> Callable[ + [iam_policy_pb2.SetIamPolicyRequest], + Union[policy_pb2.Policy, Awaitable[policy_pb2.Policy]], + ]: + raise NotImplementedError() + + @property + def get_iam_policy( + self, + ) -> Callable[ + [iam_policy_pb2.GetIamPolicyRequest], + Union[policy_pb2.Policy, Awaitable[policy_pb2.Policy]], + ]: + raise NotImplementedError() + + @property + def test_iam_permissions( + self, + ) -> Callable[ + [iam_policy_pb2.TestIamPermissionsRequest], + Union[ + iam_policy_pb2.TestIamPermissionsResponse, + Awaitable[iam_policy_pb2.TestIamPermissionsResponse], + ], + ]: + raise NotImplementedError() + + @property + def get_location( + self, + ) -> Callable[ + [locations_pb2.GetLocationRequest], + Union[locations_pb2.Location, Awaitable[locations_pb2.Location]], + ]: + raise NotImplementedError() + + @property + def list_locations( + self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], + Union[ + locations_pb2.ListLocationsResponse, + Awaitable[locations_pb2.ListLocationsResponse], + ], + ]: + raise NotImplementedError() + + @property + def kind(self) -> str: + raise NotImplementedError() + + +__all__ = ("PersistentResourceServiceTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/transports/grpc.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/transports/grpc.py new file mode 100644 index 0000000000000000000000000000000000000000..41e071ddb21743218a8abe47b8cb5ea0167bbf94 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/transports/grpc.py @@ -0,0 +1,742 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import json +import logging as std_logging +import pickle +import warnings +from typing import Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import grpc_helpers +from google.api_core import operations_v1 +from google.api_core import gapic_v1 +import google.auth # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.protobuf.json_format import MessageToJson +import google.protobuf.message + +import grpc # type: ignore +import proto # type: ignore + +from google.cloud.aiplatform_v1.types import persistent_resource +from google.cloud.aiplatform_v1.types import persistent_resource_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .base import PersistentResourceServiceTransport, DEFAULT_CLIENT_INFO + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class _LoggingClientInterceptor(grpc.UnaryUnaryClientInterceptor): # pragma: NO COVER + def intercept_unary_unary(self, continuation, client_call_details, request): + logging_enabled = CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ) + if logging_enabled: # pragma: NO COVER + request_metadata = client_call_details.metadata + if isinstance(request, proto.Message): + request_payload = type(request).to_json(request) + elif isinstance(request, google.protobuf.message.Message): + request_payload = MessageToJson(request) + else: + request_payload = f"{type(request).__name__}: {pickle.dumps(request)}" + + request_metadata = { + key: value.decode("utf-8") if isinstance(value, bytes) else value + for key, value in request_metadata + } + grpc_request = { + "payload": request_payload, + "requestMethod": "grpc", + "metadata": dict(request_metadata), + } + _LOGGER.debug( + f"Sending request for {client_call_details.method}", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": str(client_call_details.method), + "request": grpc_request, + "metadata": grpc_request["metadata"], + }, + ) + response = continuation(client_call_details, request) + if logging_enabled: # pragma: NO COVER + response_metadata = response.trailing_metadata() + # Convert gRPC metadata `` to list of tuples + metadata = ( + dict([(k, str(v)) for k, v in response_metadata]) + if response_metadata + else None + ) + result = response.result() + if isinstance(result, proto.Message): + response_payload = type(result).to_json(result) + elif isinstance(result, google.protobuf.message.Message): + response_payload = MessageToJson(result) + else: + response_payload = f"{type(result).__name__}: {pickle.dumps(result)}" + grpc_response = { + "payload": response_payload, + "metadata": metadata, + "status": "OK", + } + _LOGGER.debug( + f"Received response for {client_call_details.method}.", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": client_call_details.method, + "response": grpc_response, + "metadata": grpc_response["metadata"], + }, + ) + return response + + +class PersistentResourceServiceGrpcTransport(PersistentResourceServiceTransport): + """gRPC backend transport for PersistentResourceService. + + A service for managing Vertex AI's machine learning + PersistentResource. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + + _stubs: Dict[str, Callable] + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]] = None, + api_mtls_endpoint: Optional[str] = None, + client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if a ``channel`` instance is provided. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if a ``channel`` instance is provided. + This argument will be removed in the next major version of this library. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if a ``channel`` instance is provided. + channel (Optional[Union[grpc.Channel, Callable[..., grpc.Channel]]]): + A ``Channel`` instance through which to make calls, or a Callable + that constructs and returns one. If set to None, ``self.create_channel`` + is used to create the channel. If a Callable is given, it will be called + with the same arguments as used in ``self.create_channel``. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if a ``channel`` instance is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + self._operations_client: Optional[operations_v1.OperationsClient] = None + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if isinstance(channel, grpc.Channel): + # Ignore credentials if a channel was passed. + credentials = None + self._ignore_credentials = True + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + # initialize with the provided callable or the default channel + channel_init = channel or type(self).create_channel + self._grpc_channel = channel_init( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + self._interceptor = _LoggingClientInterceptor() + self._logged_channel = grpc.intercept_channel( + self._grpc_channel, self._interceptor + ) + + # Wrap messages. This must be done after self._logged_channel exists + self._prep_wrapped_messages(client_info) + + @classmethod + def create_channel( + cls, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs, + ) -> grpc.Channel: + """Create and return a gRPC channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. This argument will be + removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + grpc.Channel: A gRPC channel object. + + Raises: + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + + return grpc_helpers.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs, + ) + + @property + def grpc_channel(self) -> grpc.Channel: + """Return the channel designed to connect to this service.""" + return self._grpc_channel + + @property + def operations_client(self) -> operations_v1.OperationsClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Quick check: Only create a new client if we do not already have one. + if self._operations_client is None: + self._operations_client = operations_v1.OperationsClient( + self._logged_channel + ) + + # Return the client from cache. + return self._operations_client + + @property + def create_persistent_resource( + self, + ) -> Callable[ + [persistent_resource_service.CreatePersistentResourceRequest], + operations_pb2.Operation, + ]: + r"""Return a callable for the create persistent resource method over gRPC. + + Creates a PersistentResource. + + Returns: + Callable[[~.CreatePersistentResourceRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "create_persistent_resource" not in self._stubs: + self._stubs["create_persistent_resource"] = ( + self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.PersistentResourceService/CreatePersistentResource", + request_serializer=persistent_resource_service.CreatePersistentResourceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + ) + return self._stubs["create_persistent_resource"] + + @property + def get_persistent_resource( + self, + ) -> Callable[ + [persistent_resource_service.GetPersistentResourceRequest], + persistent_resource.PersistentResource, + ]: + r"""Return a callable for the get persistent resource method over gRPC. + + Gets a PersistentResource. + + Returns: + Callable[[~.GetPersistentResourceRequest], + ~.PersistentResource]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_persistent_resource" not in self._stubs: + self._stubs["get_persistent_resource"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.PersistentResourceService/GetPersistentResource", + request_serializer=persistent_resource_service.GetPersistentResourceRequest.serialize, + response_deserializer=persistent_resource.PersistentResource.deserialize, + ) + return self._stubs["get_persistent_resource"] + + @property + def list_persistent_resources( + self, + ) -> Callable[ + [persistent_resource_service.ListPersistentResourcesRequest], + persistent_resource_service.ListPersistentResourcesResponse, + ]: + r"""Return a callable for the list persistent resources method over gRPC. + + Lists PersistentResources in a Location. + + Returns: + Callable[[~.ListPersistentResourcesRequest], + ~.ListPersistentResourcesResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_persistent_resources" not in self._stubs: + self._stubs["list_persistent_resources"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.PersistentResourceService/ListPersistentResources", + request_serializer=persistent_resource_service.ListPersistentResourcesRequest.serialize, + response_deserializer=persistent_resource_service.ListPersistentResourcesResponse.deserialize, + ) + return self._stubs["list_persistent_resources"] + + @property + def delete_persistent_resource( + self, + ) -> Callable[ + [persistent_resource_service.DeletePersistentResourceRequest], + operations_pb2.Operation, + ]: + r"""Return a callable for the delete persistent resource method over gRPC. + + Deletes a PersistentResource. + + Returns: + Callable[[~.DeletePersistentResourceRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_persistent_resource" not in self._stubs: + self._stubs["delete_persistent_resource"] = ( + self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.PersistentResourceService/DeletePersistentResource", + request_serializer=persistent_resource_service.DeletePersistentResourceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + ) + return self._stubs["delete_persistent_resource"] + + @property + def update_persistent_resource( + self, + ) -> Callable[ + [persistent_resource_service.UpdatePersistentResourceRequest], + operations_pb2.Operation, + ]: + r"""Return a callable for the update persistent resource method over gRPC. + + Updates a PersistentResource. + + Returns: + Callable[[~.UpdatePersistentResourceRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "update_persistent_resource" not in self._stubs: + self._stubs["update_persistent_resource"] = ( + self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.PersistentResourceService/UpdatePersistentResource", + request_serializer=persistent_resource_service.UpdatePersistentResourceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + ) + return self._stubs["update_persistent_resource"] + + @property + def reboot_persistent_resource( + self, + ) -> Callable[ + [persistent_resource_service.RebootPersistentResourceRequest], + operations_pb2.Operation, + ]: + r"""Return a callable for the reboot persistent resource method over gRPC. + + Reboots a PersistentResource. + + Returns: + Callable[[~.RebootPersistentResourceRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "reboot_persistent_resource" not in self._stubs: + self._stubs["reboot_persistent_resource"] = ( + self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.PersistentResourceService/RebootPersistentResource", + request_serializer=persistent_resource_service.RebootPersistentResourceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + ) + return self._stubs["reboot_persistent_resource"] + + def close(self): + self._logged_channel.close() + + @property + def delete_operation( + self, + ) -> Callable[[operations_pb2.DeleteOperationRequest], None]: + r"""Return a callable for the delete_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_operation" not in self._stubs: + self._stubs["delete_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/DeleteOperation", + request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["delete_operation"] + + @property + def cancel_operation( + self, + ) -> Callable[[operations_pb2.CancelOperationRequest], None]: + r"""Return a callable for the cancel_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "cancel_operation" not in self._stubs: + self._stubs["cancel_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/CancelOperation", + request_serializer=operations_pb2.CancelOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["cancel_operation"] + + @property + def wait_operation( + self, + ) -> Callable[[operations_pb2.WaitOperationRequest], None]: + r"""Return a callable for the wait_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "wait_operation" not in self._stubs: + self._stubs["wait_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/WaitOperation", + request_serializer=operations_pb2.WaitOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["wait_operation"] + + @property + def get_operation( + self, + ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]: + r"""Return a callable for the get_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_operation" not in self._stubs: + self._stubs["get_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/GetOperation", + request_serializer=operations_pb2.GetOperationRequest.SerializeToString, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["get_operation"] + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse + ]: + r"""Return a callable for the list_operations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_operations" not in self._stubs: + self._stubs["list_operations"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/ListOperations", + request_serializer=operations_pb2.ListOperationsRequest.SerializeToString, + response_deserializer=operations_pb2.ListOperationsResponse.FromString, + ) + return self._stubs["list_operations"] + + @property + def list_locations( + self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse + ]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_locations" not in self._stubs: + self._stubs["list_locations"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/ListLocations", + request_serializer=locations_pb2.ListLocationsRequest.SerializeToString, + response_deserializer=locations_pb2.ListLocationsResponse.FromString, + ) + return self._stubs["list_locations"] + + @property + def get_location( + self, + ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_location" not in self._stubs: + self._stubs["get_location"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/GetLocation", + request_serializer=locations_pb2.GetLocationRequest.SerializeToString, + response_deserializer=locations_pb2.Location.FromString, + ) + return self._stubs["get_location"] + + @property + def set_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.SetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the set iam policy method over gRPC. + Sets the IAM access control policy on the specified + function. Replaces any existing policy. + Returns: + Callable[[~.SetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "set_iam_policy" not in self._stubs: + self._stubs["set_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/SetIamPolicy", + request_serializer=iam_policy_pb2.SetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["set_iam_policy"] + + @property + def get_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.GetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the get iam policy method over gRPC. + Gets the IAM access control policy for a function. + Returns an empty policy if the function exists and does + not have a policy set. + Returns: + Callable[[~.GetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_iam_policy" not in self._stubs: + self._stubs["get_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/GetIamPolicy", + request_serializer=iam_policy_pb2.GetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["get_iam_policy"] + + @property + def test_iam_permissions( + self, + ) -> Callable[ + [iam_policy_pb2.TestIamPermissionsRequest], + iam_policy_pb2.TestIamPermissionsResponse, + ]: + r"""Return a callable for the test iam permissions method over gRPC. + Tests the specified permissions against the IAM access control + policy for a function. If the function does not exist, this will + return an empty set of permissions, not a NOT_FOUND error. + Returns: + Callable[[~.TestIamPermissionsRequest], + ~.TestIamPermissionsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "test_iam_permissions" not in self._stubs: + self._stubs["test_iam_permissions"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/TestIamPermissions", + request_serializer=iam_policy_pb2.TestIamPermissionsRequest.SerializeToString, + response_deserializer=iam_policy_pb2.TestIamPermissionsResponse.FromString, + ) + return self._stubs["test_iam_permissions"] + + @property + def kind(self) -> str: + return "grpc" + + +__all__ = ("PersistentResourceServiceGrpcTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/transports/grpc_asyncio.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/transports/grpc_asyncio.py new file mode 100644 index 0000000000000000000000000000000000000000..0b33d021736a36e4e8329a69d966a99df1988511 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/transports/grpc_asyncio.py @@ -0,0 +1,840 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import inspect +import json +import pickle +import logging as std_logging +import warnings +from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import gapic_v1 +from google.api_core import grpc_helpers_async +from google.api_core import exceptions as core_exceptions +from google.api_core import retry_async as retries +from google.api_core import operations_v1 +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.protobuf.json_format import MessageToJson +import google.protobuf.message + +import grpc # type: ignore +import proto # type: ignore +from grpc.experimental import aio # type: ignore + +from google.cloud.aiplatform_v1.types import persistent_resource +from google.cloud.aiplatform_v1.types import persistent_resource_service +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +from .base import PersistentResourceServiceTransport, DEFAULT_CLIENT_INFO +from .grpc import PersistentResourceServiceGrpcTransport + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class _LoggingClientAIOInterceptor( + grpc.aio.UnaryUnaryClientInterceptor +): # pragma: NO COVER + async def intercept_unary_unary(self, continuation, client_call_details, request): + logging_enabled = CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ) + if logging_enabled: # pragma: NO COVER + request_metadata = client_call_details.metadata + if isinstance(request, proto.Message): + request_payload = type(request).to_json(request) + elif isinstance(request, google.protobuf.message.Message): + request_payload = MessageToJson(request) + else: + request_payload = f"{type(request).__name__}: {pickle.dumps(request)}" + + request_metadata = { + key: value.decode("utf-8") if isinstance(value, bytes) else value + for key, value in request_metadata + } + grpc_request = { + "payload": request_payload, + "requestMethod": "grpc", + "metadata": dict(request_metadata), + } + _LOGGER.debug( + f"Sending request for {client_call_details.method}", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": str(client_call_details.method), + "request": grpc_request, + "metadata": grpc_request["metadata"], + }, + ) + response = await continuation(client_call_details, request) + if logging_enabled: # pragma: NO COVER + response_metadata = await response.trailing_metadata() + # Convert gRPC metadata `` to list of tuples + metadata = ( + dict([(k, str(v)) for k, v in response_metadata]) + if response_metadata + else None + ) + result = await response + if isinstance(result, proto.Message): + response_payload = type(result).to_json(result) + elif isinstance(result, google.protobuf.message.Message): + response_payload = MessageToJson(result) + else: + response_payload = f"{type(result).__name__}: {pickle.dumps(result)}" + grpc_response = { + "payload": response_payload, + "metadata": metadata, + "status": "OK", + } + _LOGGER.debug( + f"Received response to rpc {client_call_details.method}.", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": str(client_call_details.method), + "response": grpc_response, + "metadata": grpc_response["metadata"], + }, + ) + return response + + +class PersistentResourceServiceGrpcAsyncIOTransport(PersistentResourceServiceTransport): + """gRPC AsyncIO backend transport for PersistentResourceService. + + A service for managing Vertex AI's machine learning + PersistentResource. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + + _grpc_channel: aio.Channel + _stubs: Dict[str, Callable] = {} + + @classmethod + def create_channel( + cls, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs, + ) -> aio.Channel: + """Create and return a gRPC AsyncIO channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. This argument will be + removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + aio.Channel: A gRPC AsyncIO channel object. + """ + + return grpc_helpers_async.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs, + ) + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: Optional[Union[aio.Channel, Callable[..., aio.Channel]]] = None, + api_mtls_endpoint: Optional[str] = None, + client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if a ``channel`` instance is provided. + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if a ``channel`` instance is provided. + This argument will be removed in the next major version of this library. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + channel (Optional[Union[aio.Channel, Callable[..., aio.Channel]]]): + A ``Channel`` instance through which to make calls, or a Callable + that constructs and returns one. If set to None, ``self.create_channel`` + is used to create the channel. If a Callable is given, it will be called + with the same arguments as used in ``self.create_channel``. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if a ``channel`` instance is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if a ``channel`` instance or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if isinstance(channel, aio.Channel): + # Ignore credentials if a channel was passed. + credentials = None + self._ignore_credentials = True + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + # initialize with the provided callable or the default channel + channel_init = channel or type(self).create_channel + self._grpc_channel = channel_init( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + self._interceptor = _LoggingClientAIOInterceptor() + self._grpc_channel._unary_unary_interceptors.append(self._interceptor) + self._logged_channel = self._grpc_channel + self._wrap_with_kind = ( + "kind" in inspect.signature(gapic_v1.method_async.wrap_method).parameters + ) + # Wrap messages. This must be done after self._logged_channel exists + self._prep_wrapped_messages(client_info) + + @property + def grpc_channel(self) -> aio.Channel: + """Create the channel designed to connect to this service. + + This property caches on the instance; repeated calls return + the same channel. + """ + # Return the channel from cache. + return self._grpc_channel + + @property + def operations_client(self) -> operations_v1.OperationsAsyncClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Quick check: Only create a new client if we do not already have one. + if self._operations_client is None: + self._operations_client = operations_v1.OperationsAsyncClient( + self._logged_channel + ) + + # Return the client from cache. + return self._operations_client + + @property + def create_persistent_resource( + self, + ) -> Callable[ + [persistent_resource_service.CreatePersistentResourceRequest], + Awaitable[operations_pb2.Operation], + ]: + r"""Return a callable for the create persistent resource method over gRPC. + + Creates a PersistentResource. + + Returns: + Callable[[~.CreatePersistentResourceRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "create_persistent_resource" not in self._stubs: + self._stubs["create_persistent_resource"] = ( + self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.PersistentResourceService/CreatePersistentResource", + request_serializer=persistent_resource_service.CreatePersistentResourceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + ) + return self._stubs["create_persistent_resource"] + + @property + def get_persistent_resource( + self, + ) -> Callable[ + [persistent_resource_service.GetPersistentResourceRequest], + Awaitable[persistent_resource.PersistentResource], + ]: + r"""Return a callable for the get persistent resource method over gRPC. + + Gets a PersistentResource. + + Returns: + Callable[[~.GetPersistentResourceRequest], + Awaitable[~.PersistentResource]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_persistent_resource" not in self._stubs: + self._stubs["get_persistent_resource"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.PersistentResourceService/GetPersistentResource", + request_serializer=persistent_resource_service.GetPersistentResourceRequest.serialize, + response_deserializer=persistent_resource.PersistentResource.deserialize, + ) + return self._stubs["get_persistent_resource"] + + @property + def list_persistent_resources( + self, + ) -> Callable[ + [persistent_resource_service.ListPersistentResourcesRequest], + Awaitable[persistent_resource_service.ListPersistentResourcesResponse], + ]: + r"""Return a callable for the list persistent resources method over gRPC. + + Lists PersistentResources in a Location. + + Returns: + Callable[[~.ListPersistentResourcesRequest], + Awaitable[~.ListPersistentResourcesResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_persistent_resources" not in self._stubs: + self._stubs["list_persistent_resources"] = self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.PersistentResourceService/ListPersistentResources", + request_serializer=persistent_resource_service.ListPersistentResourcesRequest.serialize, + response_deserializer=persistent_resource_service.ListPersistentResourcesResponse.deserialize, + ) + return self._stubs["list_persistent_resources"] + + @property + def delete_persistent_resource( + self, + ) -> Callable[ + [persistent_resource_service.DeletePersistentResourceRequest], + Awaitable[operations_pb2.Operation], + ]: + r"""Return a callable for the delete persistent resource method over gRPC. + + Deletes a PersistentResource. + + Returns: + Callable[[~.DeletePersistentResourceRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_persistent_resource" not in self._stubs: + self._stubs["delete_persistent_resource"] = ( + self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.PersistentResourceService/DeletePersistentResource", + request_serializer=persistent_resource_service.DeletePersistentResourceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + ) + return self._stubs["delete_persistent_resource"] + + @property + def update_persistent_resource( + self, + ) -> Callable[ + [persistent_resource_service.UpdatePersistentResourceRequest], + Awaitable[operations_pb2.Operation], + ]: + r"""Return a callable for the update persistent resource method over gRPC. + + Updates a PersistentResource. + + Returns: + Callable[[~.UpdatePersistentResourceRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "update_persistent_resource" not in self._stubs: + self._stubs["update_persistent_resource"] = ( + self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.PersistentResourceService/UpdatePersistentResource", + request_serializer=persistent_resource_service.UpdatePersistentResourceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + ) + return self._stubs["update_persistent_resource"] + + @property + def reboot_persistent_resource( + self, + ) -> Callable[ + [persistent_resource_service.RebootPersistentResourceRequest], + Awaitable[operations_pb2.Operation], + ]: + r"""Return a callable for the reboot persistent resource method over gRPC. + + Reboots a PersistentResource. + + Returns: + Callable[[~.RebootPersistentResourceRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "reboot_persistent_resource" not in self._stubs: + self._stubs["reboot_persistent_resource"] = ( + self._logged_channel.unary_unary( + "/google.cloud.aiplatform.v1.PersistentResourceService/RebootPersistentResource", + request_serializer=persistent_resource_service.RebootPersistentResourceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + ) + return self._stubs["reboot_persistent_resource"] + + def _prep_wrapped_messages(self, client_info): + """Precompute the wrapped methods, overriding the base class method to use async wrappers.""" + self._wrapped_methods = { + self.create_persistent_resource: self._wrap_method( + self.create_persistent_resource, + default_timeout=None, + client_info=client_info, + ), + self.get_persistent_resource: self._wrap_method( + self.get_persistent_resource, + default_timeout=None, + client_info=client_info, + ), + self.list_persistent_resources: self._wrap_method( + self.list_persistent_resources, + default_timeout=None, + client_info=client_info, + ), + self.delete_persistent_resource: self._wrap_method( + self.delete_persistent_resource, + default_timeout=None, + client_info=client_info, + ), + self.update_persistent_resource: self._wrap_method( + self.update_persistent_resource, + default_timeout=None, + client_info=client_info, + ), + self.reboot_persistent_resource: self._wrap_method( + self.reboot_persistent_resource, + default_timeout=None, + client_info=client_info, + ), + self.get_location: self._wrap_method( + self.get_location, + default_timeout=None, + client_info=client_info, + ), + self.list_locations: self._wrap_method( + self.list_locations, + default_timeout=None, + client_info=client_info, + ), + self.get_iam_policy: self._wrap_method( + self.get_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.set_iam_policy: self._wrap_method( + self.set_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.test_iam_permissions: self._wrap_method( + self.test_iam_permissions, + default_timeout=None, + client_info=client_info, + ), + self.cancel_operation: self._wrap_method( + self.cancel_operation, + default_timeout=None, + client_info=client_info, + ), + self.delete_operation: self._wrap_method( + self.delete_operation, + default_timeout=None, + client_info=client_info, + ), + self.get_operation: self._wrap_method( + self.get_operation, + default_timeout=None, + client_info=client_info, + ), + self.list_operations: self._wrap_method( + self.list_operations, + default_timeout=None, + client_info=client_info, + ), + self.wait_operation: self._wrap_method( + self.wait_operation, + default_timeout=None, + client_info=client_info, + ), + } + + def _wrap_method(self, func, *args, **kwargs): + if self._wrap_with_kind: # pragma: NO COVER + kwargs["kind"] = self.kind + return gapic_v1.method_async.wrap_method(func, *args, **kwargs) + + def close(self): + return self._logged_channel.close() + + @property + def kind(self) -> str: + return "grpc_asyncio" + + @property + def delete_operation( + self, + ) -> Callable[[operations_pb2.DeleteOperationRequest], None]: + r"""Return a callable for the delete_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "delete_operation" not in self._stubs: + self._stubs["delete_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/DeleteOperation", + request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["delete_operation"] + + @property + def cancel_operation( + self, + ) -> Callable[[operations_pb2.CancelOperationRequest], None]: + r"""Return a callable for the cancel_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "cancel_operation" not in self._stubs: + self._stubs["cancel_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/CancelOperation", + request_serializer=operations_pb2.CancelOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["cancel_operation"] + + @property + def wait_operation( + self, + ) -> Callable[[operations_pb2.WaitOperationRequest], None]: + r"""Return a callable for the wait_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "wait_operation" not in self._stubs: + self._stubs["wait_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/WaitOperation", + request_serializer=operations_pb2.WaitOperationRequest.SerializeToString, + response_deserializer=None, + ) + return self._stubs["wait_operation"] + + @property + def get_operation( + self, + ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]: + r"""Return a callable for the get_operation method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_operation" not in self._stubs: + self._stubs["get_operation"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/GetOperation", + request_serializer=operations_pb2.GetOperationRequest.SerializeToString, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs["get_operation"] + + @property + def list_operations( + self, + ) -> Callable[ + [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse + ]: + r"""Return a callable for the list_operations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_operations" not in self._stubs: + self._stubs["list_operations"] = self._logged_channel.unary_unary( + "/google.longrunning.Operations/ListOperations", + request_serializer=operations_pb2.ListOperationsRequest.SerializeToString, + response_deserializer=operations_pb2.ListOperationsResponse.FromString, + ) + return self._stubs["list_operations"] + + @property + def list_locations( + self, + ) -> Callable[ + [locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse + ]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "list_locations" not in self._stubs: + self._stubs["list_locations"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/ListLocations", + request_serializer=locations_pb2.ListLocationsRequest.SerializeToString, + response_deserializer=locations_pb2.ListLocationsResponse.FromString, + ) + return self._stubs["list_locations"] + + @property + def get_location( + self, + ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]: + r"""Return a callable for the list locations method over gRPC.""" + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_location" not in self._stubs: + self._stubs["get_location"] = self._logged_channel.unary_unary( + "/google.cloud.location.Locations/GetLocation", + request_serializer=locations_pb2.GetLocationRequest.SerializeToString, + response_deserializer=locations_pb2.Location.FromString, + ) + return self._stubs["get_location"] + + @property + def set_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.SetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the set iam policy method over gRPC. + Sets the IAM access control policy on the specified + function. Replaces any existing policy. + Returns: + Callable[[~.SetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "set_iam_policy" not in self._stubs: + self._stubs["set_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/SetIamPolicy", + request_serializer=iam_policy_pb2.SetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["set_iam_policy"] + + @property + def get_iam_policy( + self, + ) -> Callable[[iam_policy_pb2.GetIamPolicyRequest], policy_pb2.Policy]: + r"""Return a callable for the get iam policy method over gRPC. + Gets the IAM access control policy for a function. + Returns an empty policy if the function exists and does + not have a policy set. + Returns: + Callable[[~.GetIamPolicyRequest], + ~.Policy]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "get_iam_policy" not in self._stubs: + self._stubs["get_iam_policy"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/GetIamPolicy", + request_serializer=iam_policy_pb2.GetIamPolicyRequest.SerializeToString, + response_deserializer=policy_pb2.Policy.FromString, + ) + return self._stubs["get_iam_policy"] + + @property + def test_iam_permissions( + self, + ) -> Callable[ + [iam_policy_pb2.TestIamPermissionsRequest], + iam_policy_pb2.TestIamPermissionsResponse, + ]: + r"""Return a callable for the test iam permissions method over gRPC. + Tests the specified permissions against the IAM access control + policy for a function. If the function does not exist, this will + return an empty set of permissions, not a NOT_FOUND error. + Returns: + Callable[[~.TestIamPermissionsRequest], + ~.TestIamPermissionsResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if "test_iam_permissions" not in self._stubs: + self._stubs["test_iam_permissions"] = self._logged_channel.unary_unary( + "/google.iam.v1.IAMPolicy/TestIamPermissions", + request_serializer=iam_policy_pb2.TestIamPermissionsRequest.SerializeToString, + response_deserializer=iam_policy_pb2.TestIamPermissionsResponse.FromString, + ) + return self._stubs["test_iam_permissions"] + + +__all__ = ("PersistentResourceServiceGrpcAsyncIOTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/transports/rest.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/transports/rest.py new file mode 100644 index 0000000000000000000000000000000000000000..0790b31798818204ceb9dbfd4c54ef6b4b6a9153 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/transports/rest.py @@ -0,0 +1,5180 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging +import json # type: ignore + +from google.auth.transport.requests import AuthorizedSession # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.api_core import exceptions as core_exceptions +from google.api_core import retry as retries +from google.api_core import rest_helpers +from google.api_core import rest_streaming +from google.api_core import gapic_v1 +import google.protobuf + +from google.protobuf import json_format +from google.api_core import operations_v1 +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore + +from requests import __version__ as requests_version +import dataclasses +from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union +import warnings + + +from google.cloud.aiplatform_v1.types import persistent_resource +from google.cloud.aiplatform_v1.types import persistent_resource_service +from google.longrunning import operations_pb2 # type: ignore + + +from .rest_base import _BasePersistentResourceServiceRestTransport +from .base import DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = logging.getLogger(__name__) + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version, + grpc_version=None, + rest_version=f"requests@{requests_version}", +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +class PersistentResourceServiceRestInterceptor: + """Interceptor for PersistentResourceService. + + Interceptors are used to manipulate requests, request metadata, and responses + in arbitrary ways. + Example use cases include: + * Logging + * Verifying requests according to service or custom semantics + * Stripping extraneous information from responses + + These use cases and more can be enabled by injecting an + instance of a custom subclass when constructing the PersistentResourceServiceRestTransport. + + .. code-block:: python + class MyCustomPersistentResourceServiceInterceptor(PersistentResourceServiceRestInterceptor): + def pre_create_persistent_resource(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_create_persistent_resource(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_delete_persistent_resource(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_delete_persistent_resource(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_get_persistent_resource(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_get_persistent_resource(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_list_persistent_resources(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_list_persistent_resources(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_reboot_persistent_resource(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_reboot_persistent_resource(self, response): + logging.log(f"Received response: {response}") + return response + + def pre_update_persistent_resource(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + def post_update_persistent_resource(self, response): + logging.log(f"Received response: {response}") + return response + + transport = PersistentResourceServiceRestTransport(interceptor=MyCustomPersistentResourceServiceInterceptor()) + client = PersistentResourceServiceClient(transport=transport) + + + """ + + def pre_create_persistent_resource( + self, + request: persistent_resource_service.CreatePersistentResourceRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + persistent_resource_service.CreatePersistentResourceRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for create_persistent_resource + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + def post_create_persistent_resource( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for create_persistent_resource + + DEPRECATED. Please use the `post_create_persistent_resource_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. This `post_create_persistent_resource` interceptor runs + before the `post_create_persistent_resource_with_metadata` interceptor. + """ + return response + + def post_create_persistent_resource_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for create_persistent_resource + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the PersistentResourceService server but before it is returned to user code. + + We recommend only using this `post_create_persistent_resource_with_metadata` + interceptor in new development instead of the `post_create_persistent_resource` interceptor. + When both interceptors are used, this `post_create_persistent_resource_with_metadata` interceptor runs after the + `post_create_persistent_resource` interceptor. The (possibly modified) response returned by + `post_create_persistent_resource` will be passed to + `post_create_persistent_resource_with_metadata`. + """ + return response, metadata + + def pre_delete_persistent_resource( + self, + request: persistent_resource_service.DeletePersistentResourceRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + persistent_resource_service.DeletePersistentResourceRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for delete_persistent_resource + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + def post_delete_persistent_resource( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for delete_persistent_resource + + DEPRECATED. Please use the `post_delete_persistent_resource_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. This `post_delete_persistent_resource` interceptor runs + before the `post_delete_persistent_resource_with_metadata` interceptor. + """ + return response + + def post_delete_persistent_resource_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for delete_persistent_resource + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the PersistentResourceService server but before it is returned to user code. + + We recommend only using this `post_delete_persistent_resource_with_metadata` + interceptor in new development instead of the `post_delete_persistent_resource` interceptor. + When both interceptors are used, this `post_delete_persistent_resource_with_metadata` interceptor runs after the + `post_delete_persistent_resource` interceptor. The (possibly modified) response returned by + `post_delete_persistent_resource` will be passed to + `post_delete_persistent_resource_with_metadata`. + """ + return response, metadata + + def pre_get_persistent_resource( + self, + request: persistent_resource_service.GetPersistentResourceRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + persistent_resource_service.GetPersistentResourceRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for get_persistent_resource + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + def post_get_persistent_resource( + self, response: persistent_resource.PersistentResource + ) -> persistent_resource.PersistentResource: + """Post-rpc interceptor for get_persistent_resource + + DEPRECATED. Please use the `post_get_persistent_resource_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. This `post_get_persistent_resource` interceptor runs + before the `post_get_persistent_resource_with_metadata` interceptor. + """ + return response + + def post_get_persistent_resource_with_metadata( + self, + response: persistent_resource.PersistentResource, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + persistent_resource.PersistentResource, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Post-rpc interceptor for get_persistent_resource + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the PersistentResourceService server but before it is returned to user code. + + We recommend only using this `post_get_persistent_resource_with_metadata` + interceptor in new development instead of the `post_get_persistent_resource` interceptor. + When both interceptors are used, this `post_get_persistent_resource_with_metadata` interceptor runs after the + `post_get_persistent_resource` interceptor. The (possibly modified) response returned by + `post_get_persistent_resource` will be passed to + `post_get_persistent_resource_with_metadata`. + """ + return response, metadata + + def pre_list_persistent_resources( + self, + request: persistent_resource_service.ListPersistentResourcesRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + persistent_resource_service.ListPersistentResourcesRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for list_persistent_resources + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + def post_list_persistent_resources( + self, response: persistent_resource_service.ListPersistentResourcesResponse + ) -> persistent_resource_service.ListPersistentResourcesResponse: + """Post-rpc interceptor for list_persistent_resources + + DEPRECATED. Please use the `post_list_persistent_resources_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. This `post_list_persistent_resources` interceptor runs + before the `post_list_persistent_resources_with_metadata` interceptor. + """ + return response + + def post_list_persistent_resources_with_metadata( + self, + response: persistent_resource_service.ListPersistentResourcesResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + persistent_resource_service.ListPersistentResourcesResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for list_persistent_resources + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the PersistentResourceService server but before it is returned to user code. + + We recommend only using this `post_list_persistent_resources_with_metadata` + interceptor in new development instead of the `post_list_persistent_resources` interceptor. + When both interceptors are used, this `post_list_persistent_resources_with_metadata` interceptor runs after the + `post_list_persistent_resources` interceptor. The (possibly modified) response returned by + `post_list_persistent_resources` will be passed to + `post_list_persistent_resources_with_metadata`. + """ + return response, metadata + + def pre_reboot_persistent_resource( + self, + request: persistent_resource_service.RebootPersistentResourceRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + persistent_resource_service.RebootPersistentResourceRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for reboot_persistent_resource + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + def post_reboot_persistent_resource( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for reboot_persistent_resource + + DEPRECATED. Please use the `post_reboot_persistent_resource_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. This `post_reboot_persistent_resource` interceptor runs + before the `post_reboot_persistent_resource_with_metadata` interceptor. + """ + return response + + def post_reboot_persistent_resource_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for reboot_persistent_resource + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the PersistentResourceService server but before it is returned to user code. + + We recommend only using this `post_reboot_persistent_resource_with_metadata` + interceptor in new development instead of the `post_reboot_persistent_resource` interceptor. + When both interceptors are used, this `post_reboot_persistent_resource_with_metadata` interceptor runs after the + `post_reboot_persistent_resource` interceptor. The (possibly modified) response returned by + `post_reboot_persistent_resource` will be passed to + `post_reboot_persistent_resource_with_metadata`. + """ + return response, metadata + + def pre_update_persistent_resource( + self, + request: persistent_resource_service.UpdatePersistentResourceRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + persistent_resource_service.UpdatePersistentResourceRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for update_persistent_resource + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + def post_update_persistent_resource( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for update_persistent_resource + + DEPRECATED. Please use the `post_update_persistent_resource_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. This `post_update_persistent_resource` interceptor runs + before the `post_update_persistent_resource_with_metadata` interceptor. + """ + return response + + def post_update_persistent_resource_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for update_persistent_resource + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the PersistentResourceService server but before it is returned to user code. + + We recommend only using this `post_update_persistent_resource_with_metadata` + interceptor in new development instead of the `post_update_persistent_resource` interceptor. + When both interceptors are used, this `post_update_persistent_resource_with_metadata` interceptor runs after the + `post_update_persistent_resource` interceptor. The (possibly modified) response returned by + `post_update_persistent_resource` will be passed to + `post_update_persistent_resource_with_metadata`. + """ + return response, metadata + + def pre_get_location( + self, + request: locations_pb2.GetLocationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.GetLocationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_location + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + def post_get_location( + self, response: locations_pb2.Location + ) -> locations_pb2.Location: + """Post-rpc interceptor for get_location + + Override in a subclass to manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. + """ + return response + + def pre_list_locations( + self, + request: locations_pb2.ListLocationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.ListLocationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_locations + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + def post_list_locations( + self, response: locations_pb2.ListLocationsResponse + ) -> locations_pb2.ListLocationsResponse: + """Post-rpc interceptor for list_locations + + Override in a subclass to manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. + """ + return response + + def pre_get_iam_policy( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.GetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + def post_get_iam_policy(self, response: policy_pb2.Policy) -> policy_pb2.Policy: + """Post-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. + """ + return response + + def pre_set_iam_policy( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.SetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + def post_set_iam_policy(self, response: policy_pb2.Policy) -> policy_pb2.Policy: + """Post-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. + """ + return response + + def pre_test_iam_permissions( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.TestIamPermissionsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + def post_test_iam_permissions( + self, response: iam_policy_pb2.TestIamPermissionsResponse + ) -> iam_policy_pb2.TestIamPermissionsResponse: + """Post-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. + """ + return response + + def pre_cancel_operation( + self, + request: operations_pb2.CancelOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.CancelOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + def post_cancel_operation(self, response: None) -> None: + """Post-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. + """ + return response + + def pre_delete_operation( + self, + request: operations_pb2.DeleteOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.DeleteOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for delete_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + def post_delete_operation(self, response: None) -> None: + """Post-rpc interceptor for delete_operation + + Override in a subclass to manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. + """ + return response + + def pre_get_operation( + self, + request: operations_pb2.GetOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.GetOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + def post_get_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for get_operation + + Override in a subclass to manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. + """ + return response + + def pre_list_operations( + self, + request: operations_pb2.ListOperationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.ListOperationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_operations + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + def post_list_operations( + self, response: operations_pb2.ListOperationsResponse + ) -> operations_pb2.ListOperationsResponse: + """Post-rpc interceptor for list_operations + + Override in a subclass to manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. + """ + return response + + def pre_wait_operation( + self, + request: operations_pb2.WaitOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.WaitOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for wait_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + def post_wait_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for wait_operation + + Override in a subclass to manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. + """ + return response + + +@dataclasses.dataclass +class PersistentResourceServiceRestStub: + _session: AuthorizedSession + _host: str + _interceptor: PersistentResourceServiceRestInterceptor + + +class PersistentResourceServiceRestTransport( + _BasePersistentResourceServiceRestTransport +): + """REST backend synchronous transport for PersistentResourceService. + + A service for managing Vertex AI's machine learning + PersistentResource. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + """ + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials.Credentials] = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + url_scheme: str = "https", + interceptor: Optional[PersistentResourceServiceRestInterceptor] = None, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + + credentials_file (Optional[str]): Deprecated. A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. This argument will be + removed in the next major version of this library. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if ``channel`` is provided. + client_cert_source_for_mtls (Callable[[], Tuple[bytes, bytes]]): Client + certificate to configure mutual TLS HTTP channel. It is ignored + if ``channel`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + url_scheme: the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + # TODO(yon-mg): resolve other ctor params i.e. scopes, quota, etc. + # TODO: When custom host (api_endpoint) is set, `scopes` must *also* be set on the + # credentials object + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + url_scheme=url_scheme, + api_audience=api_audience, + ) + self._session = AuthorizedSession( + self._credentials, default_host=self.DEFAULT_HOST + ) + self._operations_client: Optional[operations_v1.AbstractOperationsClient] = None + if client_cert_source_for_mtls: + self._session.configure_mtls_channel(client_cert_source_for_mtls) + self._interceptor = interceptor or PersistentResourceServiceRestInterceptor() + self._prep_wrapped_messages(client_info) + + @property + def operations_client(self) -> operations_v1.AbstractOperationsClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Only create a new client if we do not already have one. + if self._operations_client is None: + http_options: Dict[str, List[Dict[str, str]]] = { + "google.longrunning.Operations.CancelOperation": [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + ], + "google.longrunning.Operations.DeleteOperation": [ + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensions/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}", + }, + ], + "google.longrunning.Operations.GetOperation": [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": 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"/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:wait", + }, + ], + } + + rest_transport = operations_v1.OperationsRestTransport( + host=self._host, + # use the credentials which are saved + credentials=self._credentials, + scopes=self._scopes, + http_options=http_options, + path_prefix="v1", + ) + + self._operations_client = operations_v1.AbstractOperationsClient( + transport=rest_transport + ) + + # Return the client from cache. + return self._operations_client + + class _CreatePersistentResource( + _BasePersistentResourceServiceRestTransport._BaseCreatePersistentResource, + PersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash( + "PersistentResourceServiceRestTransport.CreatePersistentResource" + ) + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: persistent_resource_service.CreatePersistentResourceRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the create persistent + resource method over HTTP. + + Args: + request (~.persistent_resource_service.CreatePersistentResourceRequest): + The request object. Request message for + [PersistentResourceService.CreatePersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.CreatePersistentResource]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseCreatePersistentResource._get_http_options() + ) + + request, metadata = self._interceptor.pre_create_persistent_resource( + request, metadata + ) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseCreatePersistentResource._get_transcoded_request( + http_options, request + ) + + body = _BasePersistentResourceServiceRestTransport._BaseCreatePersistentResource._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseCreatePersistentResource._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.CreatePersistentResource", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "CreatePersistentResource", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = PersistentResourceServiceRestTransport._CreatePersistentResource._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_create_persistent_resource(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_create_persistent_resource_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceClient.create_persistent_resource", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "CreatePersistentResource", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _DeletePersistentResource( + _BasePersistentResourceServiceRestTransport._BaseDeletePersistentResource, + PersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash( + "PersistentResourceServiceRestTransport.DeletePersistentResource" + ) + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: persistent_resource_service.DeletePersistentResourceRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the delete persistent + resource method over HTTP. + + Args: + request (~.persistent_resource_service.DeletePersistentResourceRequest): + The request object. Request message for + [PersistentResourceService.DeletePersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.DeletePersistentResource]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseDeletePersistentResource._get_http_options() + ) + + request, metadata = self._interceptor.pre_delete_persistent_resource( + request, metadata + ) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseDeletePersistentResource._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseDeletePersistentResource._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.DeletePersistentResource", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "DeletePersistentResource", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = PersistentResourceServiceRestTransport._DeletePersistentResource._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_delete_persistent_resource(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_delete_persistent_resource_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceClient.delete_persistent_resource", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "DeletePersistentResource", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _GetPersistentResource( + _BasePersistentResourceServiceRestTransport._BaseGetPersistentResource, + PersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash("PersistentResourceServiceRestTransport.GetPersistentResource") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: persistent_resource_service.GetPersistentResourceRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> persistent_resource.PersistentResource: + r"""Call the get persistent resource method over HTTP. + + Args: + request (~.persistent_resource_service.GetPersistentResourceRequest): + The request object. Request message for + [PersistentResourceService.GetPersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.GetPersistentResource]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.persistent_resource.PersistentResource: + Represents long-lasting resources + that are dedicated to users to runs + custom workloads. A PersistentResource + can have multiple node pools and each + node pool can have its own machine spec. + + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseGetPersistentResource._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_persistent_resource( + request, metadata + ) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseGetPersistentResource._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseGetPersistentResource._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.GetPersistentResource", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "GetPersistentResource", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = PersistentResourceServiceRestTransport._GetPersistentResource._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = persistent_resource.PersistentResource() + pb_resp = persistent_resource.PersistentResource.pb(resp) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_get_persistent_resource(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_get_persistent_resource_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = persistent_resource.PersistentResource.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceClient.get_persistent_resource", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "GetPersistentResource", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _ListPersistentResources( + _BasePersistentResourceServiceRestTransport._BaseListPersistentResources, + PersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash( + "PersistentResourceServiceRestTransport.ListPersistentResources" + ) + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: persistent_resource_service.ListPersistentResourcesRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> persistent_resource_service.ListPersistentResourcesResponse: + r"""Call the list persistent resources method over HTTP. + + Args: + request (~.persistent_resource_service.ListPersistentResourcesRequest): + The request object. Request message for + [PersistentResourceService.ListPersistentResources][google.cloud.aiplatform.v1.PersistentResourceService.ListPersistentResources]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.persistent_resource_service.ListPersistentResourcesResponse: + Response message for + [PersistentResourceService.ListPersistentResources][google.cloud.aiplatform.v1.PersistentResourceService.ListPersistentResources] + + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseListPersistentResources._get_http_options() + ) + + request, metadata = self._interceptor.pre_list_persistent_resources( + request, metadata + ) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseListPersistentResources._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseListPersistentResources._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.ListPersistentResources", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "ListPersistentResources", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = PersistentResourceServiceRestTransport._ListPersistentResources._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = persistent_resource_service.ListPersistentResourcesResponse() + pb_resp = persistent_resource_service.ListPersistentResourcesResponse.pb( + resp + ) + + json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_list_persistent_resources(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_list_persistent_resources_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = persistent_resource_service.ListPersistentResourcesResponse.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceClient.list_persistent_resources", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "ListPersistentResources", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _RebootPersistentResource( + _BasePersistentResourceServiceRestTransport._BaseRebootPersistentResource, + PersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash( + "PersistentResourceServiceRestTransport.RebootPersistentResource" + ) + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: persistent_resource_service.RebootPersistentResourceRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the reboot persistent + resource method over HTTP. + + Args: + request (~.persistent_resource_service.RebootPersistentResourceRequest): + The request object. Request message for + [PersistentResourceService.RebootPersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.RebootPersistentResource]. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseRebootPersistentResource._get_http_options() + ) + + request, metadata = self._interceptor.pre_reboot_persistent_resource( + request, metadata + ) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseRebootPersistentResource._get_transcoded_request( + http_options, request + ) + + body = _BasePersistentResourceServiceRestTransport._BaseRebootPersistentResource._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseRebootPersistentResource._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.RebootPersistentResource", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "RebootPersistentResource", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = PersistentResourceServiceRestTransport._RebootPersistentResource._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_reboot_persistent_resource(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_reboot_persistent_resource_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceClient.reboot_persistent_resource", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "RebootPersistentResource", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + class _UpdatePersistentResource( + _BasePersistentResourceServiceRestTransport._BaseUpdatePersistentResource, + PersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash( + "PersistentResourceServiceRestTransport.UpdatePersistentResource" + ) + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: persistent_resource_service.UpdatePersistentResourceRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the update persistent + resource method over HTTP. + + Args: + request (~.persistent_resource_service.UpdatePersistentResourceRequest): + The request object. Request message for + UpdatePersistentResource method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseUpdatePersistentResource._get_http_options() + ) + + request, metadata = self._interceptor.pre_update_persistent_resource( + request, metadata + ) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseUpdatePersistentResource._get_transcoded_request( + http_options, request + ) + + body = _BasePersistentResourceServiceRestTransport._BaseUpdatePersistentResource._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseUpdatePersistentResource._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.UpdatePersistentResource", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "UpdatePersistentResource", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = PersistentResourceServiceRestTransport._UpdatePersistentResource._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + # Return the response + resp = operations_pb2.Operation() + json_format.Parse(response.content, resp, ignore_unknown_fields=True) + + resp = self._interceptor.post_update_persistent_resource(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = self._interceptor.post_update_persistent_resource_with_metadata( + resp, response_metadata + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceClient.update_persistent_resource", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "UpdatePersistentResource", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + return resp + + @property + def create_persistent_resource( + self, + ) -> Callable[ + [persistent_resource_service.CreatePersistentResourceRequest], + operations_pb2.Operation, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._CreatePersistentResource(self._session, self._host, self._interceptor) # type: ignore + + @property + def delete_persistent_resource( + self, + ) -> Callable[ + [persistent_resource_service.DeletePersistentResourceRequest], + operations_pb2.Operation, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._DeletePersistentResource(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_persistent_resource( + self, + ) -> Callable[ + [persistent_resource_service.GetPersistentResourceRequest], + persistent_resource.PersistentResource, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._GetPersistentResource(self._session, self._host, self._interceptor) # type: ignore + + @property + def list_persistent_resources( + self, + ) -> Callable[ + [persistent_resource_service.ListPersistentResourcesRequest], + persistent_resource_service.ListPersistentResourcesResponse, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._ListPersistentResources(self._session, self._host, self._interceptor) # type: ignore + + @property + def reboot_persistent_resource( + self, + ) -> Callable[ + [persistent_resource_service.RebootPersistentResourceRequest], + operations_pb2.Operation, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._RebootPersistentResource(self._session, self._host, self._interceptor) # type: ignore + + @property + def update_persistent_resource( + self, + ) -> Callable[ + [persistent_resource_service.UpdatePersistentResourceRequest], + operations_pb2.Operation, + ]: + # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. + # In C++ this would require a dynamic_cast + return self._UpdatePersistentResource(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_location(self): + return self._GetLocation(self._session, self._host, self._interceptor) # type: ignore + + class _GetLocation( + _BasePersistentResourceServiceRestTransport._BaseGetLocation, + PersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash("PersistentResourceServiceRestTransport.GetLocation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: locations_pb2.GetLocationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Call the get location method over HTTP. + + Args: + request (locations_pb2.GetLocationRequest): + The request object for GetLocation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.Location: Response from GetLocation method. + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseGetLocation._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_location(request, metadata) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseGetLocation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseGetLocation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "GetLocation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + PersistentResourceServiceRestTransport._GetLocation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = locations_pb2.Location() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_get_location(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceAsyncClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "GetLocation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_locations(self): + return self._ListLocations(self._session, self._host, self._interceptor) # type: ignore + + class _ListLocations( + _BasePersistentResourceServiceRestTransport._BaseListLocations, + PersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash("PersistentResourceServiceRestTransport.ListLocations") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: locations_pb2.ListLocationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Call the list locations method over HTTP. + + Args: + request (locations_pb2.ListLocationsRequest): + The request object for ListLocations method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.ListLocationsResponse: Response from ListLocations method. + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseListLocations._get_http_options() + ) + + request, metadata = self._interceptor.pre_list_locations(request, metadata) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseListLocations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseListLocations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "ListLocations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + PersistentResourceServiceRestTransport._ListLocations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = locations_pb2.ListLocationsResponse() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_list_locations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceAsyncClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "ListLocations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def get_iam_policy(self): + return self._GetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _GetIamPolicy( + _BasePersistentResourceServiceRestTransport._BaseGetIamPolicy, + PersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash("PersistentResourceServiceRestTransport.GetIamPolicy") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the get iam policy method over HTTP. + + Args: + request (iam_policy_pb2.GetIamPolicyRequest): + The request object for GetIamPolicy method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from GetIamPolicy method. + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseGetIamPolicy._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_iam_policy(request, metadata) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseGetIamPolicy._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseGetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "GetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + PersistentResourceServiceRestTransport._GetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_get_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceAsyncClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "GetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def set_iam_policy(self): + return self._SetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _SetIamPolicy( + _BasePersistentResourceServiceRestTransport._BaseSetIamPolicy, + PersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash("PersistentResourceServiceRestTransport.SetIamPolicy") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + def __call__( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the set iam policy method over HTTP. + + Args: + request (iam_policy_pb2.SetIamPolicyRequest): + The request object for SetIamPolicy method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from SetIamPolicy method. + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseSetIamPolicy._get_http_options() + ) + + request, metadata = self._interceptor.pre_set_iam_policy(request, metadata) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseSetIamPolicy._get_transcoded_request( + http_options, request + ) + + body = _BasePersistentResourceServiceRestTransport._BaseSetIamPolicy._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseSetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "SetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + PersistentResourceServiceRestTransport._SetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_set_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceAsyncClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "SetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def test_iam_permissions(self): + return self._TestIamPermissions(self._session, self._host, self._interceptor) # type: ignore + + class _TestIamPermissions( + _BasePersistentResourceServiceRestTransport._BaseTestIamPermissions, + PersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash("PersistentResourceServiceRestTransport.TestIamPermissions") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Call the test iam permissions method over HTTP. + + Args: + request (iam_policy_pb2.TestIamPermissionsRequest): + The request object for TestIamPermissions method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + iam_policy_pb2.TestIamPermissionsResponse: Response from TestIamPermissions method. + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseTestIamPermissions._get_http_options() + ) + + request, metadata = self._interceptor.pre_test_iam_permissions( + request, metadata + ) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseTestIamPermissions._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseTestIamPermissions._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "TestIamPermissions", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = PersistentResourceServiceRestTransport._TestIamPermissions._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = iam_policy_pb2.TestIamPermissionsResponse() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_test_iam_permissions(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceAsyncClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "TestIamPermissions", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def cancel_operation(self): + return self._CancelOperation(self._session, self._host, self._interceptor) # type: ignore + + class _CancelOperation( + _BasePersistentResourceServiceRestTransport._BaseCancelOperation, + PersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash("PersistentResourceServiceRestTransport.CancelOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.CancelOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the cancel operation method over HTTP. + + Args: + request (operations_pb2.CancelOperationRequest): + The request object for CancelOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseCancelOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_cancel_operation( + request, metadata + ) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseCancelOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseCancelOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.CancelOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "CancelOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + PersistentResourceServiceRestTransport._CancelOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + return self._interceptor.post_cancel_operation(None) + + @property + def delete_operation(self): + return self._DeleteOperation(self._session, self._host, self._interceptor) # type: ignore + + class _DeleteOperation( + _BasePersistentResourceServiceRestTransport._BaseDeleteOperation, + PersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash("PersistentResourceServiceRestTransport.DeleteOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.DeleteOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the delete operation method over HTTP. + + Args: + request (operations_pb2.DeleteOperationRequest): + The request object for DeleteOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseDeleteOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_delete_operation( + request, metadata + ) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseDeleteOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseDeleteOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.DeleteOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "DeleteOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + PersistentResourceServiceRestTransport._DeleteOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + return self._interceptor.post_delete_operation(None) + + @property + def get_operation(self): + return self._GetOperation(self._session, self._host, self._interceptor) # type: ignore + + class _GetOperation( + _BasePersistentResourceServiceRestTransport._BaseGetOperation, + PersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash("PersistentResourceServiceRestTransport.GetOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.GetOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the get operation method over HTTP. + + Args: + request (operations_pb2.GetOperationRequest): + The request object for GetOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from GetOperation method. + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseGetOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_get_operation(request, metadata) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseGetOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseGetOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "GetOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + PersistentResourceServiceRestTransport._GetOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_get_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceAsyncClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "GetOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_operations(self): + return self._ListOperations(self._session, self._host, self._interceptor) # type: ignore + + class _ListOperations( + _BasePersistentResourceServiceRestTransport._BaseListOperations, + PersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash("PersistentResourceServiceRestTransport.ListOperations") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.ListOperationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Call the list operations method over HTTP. + + Args: + request (operations_pb2.ListOperationsRequest): + The request object for ListOperations method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.ListOperationsResponse: Response from ListOperations method. + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseListOperations._get_http_options() + ) + + request, metadata = self._interceptor.pre_list_operations(request, metadata) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseListOperations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseListOperations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "ListOperations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + PersistentResourceServiceRestTransport._ListOperations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = operations_pb2.ListOperationsResponse() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_list_operations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceAsyncClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "ListOperations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def wait_operation(self): + return self._WaitOperation(self._session, self._host, self._interceptor) # type: ignore + + class _WaitOperation( + _BasePersistentResourceServiceRestTransport._BaseWaitOperation, + PersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash("PersistentResourceServiceRestTransport.WaitOperation") + + @staticmethod + def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + def __call__( + self, + request: operations_pb2.WaitOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the wait operation method over HTTP. + + Args: + request (operations_pb2.WaitOperationRequest): + The request object for WaitOperation method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from WaitOperation method. + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseWaitOperation._get_http_options() + ) + + request, metadata = self._interceptor.pre_wait_operation(request, metadata) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseWaitOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseWaitOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "WaitOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = ( + PersistentResourceServiceRestTransport._WaitOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + raise core_exceptions.from_http_response(response) + + content = response.content.decode("utf-8") + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = self._interceptor.post_wait_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceAsyncClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "WaitOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def kind(self) -> str: + return "rest" + + def close(self): + self._session.close() + + +__all__ = ("PersistentResourceServiceRestTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/transports/rest_asyncio.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/transports/rest_asyncio.py new file mode 100644 index 0000000000000000000000000000000000000000..76f51141ea5ac271567989208df2ef7bf7ef037c --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/transports/rest_asyncio.py @@ -0,0 +1,5369 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +import google.auth + +try: + import aiohttp # type: ignore + from google.auth.aio.transport.sessions import AsyncAuthorizedSession # type: ignore + from google.api_core import rest_streaming_async # type: ignore + from google.api_core.operations_v1 import AsyncOperationsRestClient # type: ignore +except ImportError as e: # pragma: NO COVER + raise ImportError( + "`rest_asyncio` transport requires the library to be installed with the `async_rest` extra. Install the library with the `async_rest` extra using `pip install google-cloud-aiplatform[async_rest]`" + ) from e + +from google.auth.aio import credentials as ga_credentials_async # type: ignore + +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import operations_v1 +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore +from google.api_core import retry_async as retries +from google.api_core import rest_helpers +from google.api_core import rest_streaming_async # type: ignore +import google.protobuf + +from google.protobuf import json_format +from google.api_core import operations_v1 +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore + +import json # type: ignore +import dataclasses +from typing import Any, Dict, List, Callable, Tuple, Optional, Sequence, Union + + +from google.cloud.aiplatform_v1.types import persistent_resource +from google.cloud.aiplatform_v1.types import persistent_resource_service +from google.longrunning import operations_pb2 # type: ignore + + +from .rest_base import _BasePersistentResourceServiceRestTransport + +from .base import DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO + + +import logging + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = logging.getLogger(__name__) + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version, + grpc_version=None, + rest_version=f"google-auth@{google.auth.__version__}", +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +class AsyncPersistentResourceServiceRestInterceptor: + """Asynchronous Interceptor for PersistentResourceService. + + Interceptors are used to manipulate requests, request metadata, and responses + in arbitrary ways. + Example use cases include: + * Logging + * Verifying requests according to service or custom semantics + * Stripping extraneous information from responses + + These use cases and more can be enabled by injecting an + instance of a custom subclass when constructing the AsyncPersistentResourceServiceRestTransport. + + .. code-block:: python + class MyCustomPersistentResourceServiceInterceptor(PersistentResourceServiceRestInterceptor): + async def pre_create_persistent_resource(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_create_persistent_resource(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_delete_persistent_resource(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_delete_persistent_resource(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_get_persistent_resource(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_get_persistent_resource(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_list_persistent_resources(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_list_persistent_resources(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_reboot_persistent_resource(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_reboot_persistent_resource(self, response): + logging.log(f"Received response: {response}") + return response + + async def pre_update_persistent_resource(self, request, metadata): + logging.log(f"Received request: {request}") + return request, metadata + + async def post_update_persistent_resource(self, response): + logging.log(f"Received response: {response}") + return response + + transport = AsyncPersistentResourceServiceRestTransport(interceptor=MyCustomPersistentResourceServiceInterceptor()) + client = async PersistentResourceServiceClient(transport=transport) + + + """ + + async def pre_create_persistent_resource( + self, + request: persistent_resource_service.CreatePersistentResourceRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + persistent_resource_service.CreatePersistentResourceRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for create_persistent_resource + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + async def post_create_persistent_resource( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for create_persistent_resource + + DEPRECATED. Please use the `post_create_persistent_resource_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. This `post_create_persistent_resource` interceptor runs + before the `post_create_persistent_resource_with_metadata` interceptor. + """ + return response + + async def post_create_persistent_resource_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for create_persistent_resource + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the PersistentResourceService server but before it is returned to user code. + + We recommend only using this `post_create_persistent_resource_with_metadata` + interceptor in new development instead of the `post_create_persistent_resource` interceptor. + When both interceptors are used, this `post_create_persistent_resource_with_metadata` interceptor runs after the + `post_create_persistent_resource` interceptor. The (possibly modified) response returned by + `post_create_persistent_resource` will be passed to + `post_create_persistent_resource_with_metadata`. + """ + return response, metadata + + async def pre_delete_persistent_resource( + self, + request: persistent_resource_service.DeletePersistentResourceRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + persistent_resource_service.DeletePersistentResourceRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for delete_persistent_resource + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + async def post_delete_persistent_resource( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for delete_persistent_resource + + DEPRECATED. Please use the `post_delete_persistent_resource_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. This `post_delete_persistent_resource` interceptor runs + before the `post_delete_persistent_resource_with_metadata` interceptor. + """ + return response + + async def post_delete_persistent_resource_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for delete_persistent_resource + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the PersistentResourceService server but before it is returned to user code. + + We recommend only using this `post_delete_persistent_resource_with_metadata` + interceptor in new development instead of the `post_delete_persistent_resource` interceptor. + When both interceptors are used, this `post_delete_persistent_resource_with_metadata` interceptor runs after the + `post_delete_persistent_resource` interceptor. The (possibly modified) response returned by + `post_delete_persistent_resource` will be passed to + `post_delete_persistent_resource_with_metadata`. + """ + return response, metadata + + async def pre_get_persistent_resource( + self, + request: persistent_resource_service.GetPersistentResourceRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + persistent_resource_service.GetPersistentResourceRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for get_persistent_resource + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + async def post_get_persistent_resource( + self, response: persistent_resource.PersistentResource + ) -> persistent_resource.PersistentResource: + """Post-rpc interceptor for get_persistent_resource + + DEPRECATED. Please use the `post_get_persistent_resource_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. This `post_get_persistent_resource` interceptor runs + before the `post_get_persistent_resource_with_metadata` interceptor. + """ + return response + + async def post_get_persistent_resource_with_metadata( + self, + response: persistent_resource.PersistentResource, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + persistent_resource.PersistentResource, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Post-rpc interceptor for get_persistent_resource + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the PersistentResourceService server but before it is returned to user code. + + We recommend only using this `post_get_persistent_resource_with_metadata` + interceptor in new development instead of the `post_get_persistent_resource` interceptor. + When both interceptors are used, this `post_get_persistent_resource_with_metadata` interceptor runs after the + `post_get_persistent_resource` interceptor. The (possibly modified) response returned by + `post_get_persistent_resource` will be passed to + `post_get_persistent_resource_with_metadata`. + """ + return response, metadata + + async def pre_list_persistent_resources( + self, + request: persistent_resource_service.ListPersistentResourcesRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + persistent_resource_service.ListPersistentResourcesRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for list_persistent_resources + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + async def post_list_persistent_resources( + self, response: persistent_resource_service.ListPersistentResourcesResponse + ) -> persistent_resource_service.ListPersistentResourcesResponse: + """Post-rpc interceptor for list_persistent_resources + + DEPRECATED. Please use the `post_list_persistent_resources_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. This `post_list_persistent_resources` interceptor runs + before the `post_list_persistent_resources_with_metadata` interceptor. + """ + return response + + async def post_list_persistent_resources_with_metadata( + self, + response: persistent_resource_service.ListPersistentResourcesResponse, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + persistent_resource_service.ListPersistentResourcesResponse, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Post-rpc interceptor for list_persistent_resources + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the PersistentResourceService server but before it is returned to user code. + + We recommend only using this `post_list_persistent_resources_with_metadata` + interceptor in new development instead of the `post_list_persistent_resources` interceptor. + When both interceptors are used, this `post_list_persistent_resources_with_metadata` interceptor runs after the + `post_list_persistent_resources` interceptor. The (possibly modified) response returned by + `post_list_persistent_resources` will be passed to + `post_list_persistent_resources_with_metadata`. + """ + return response, metadata + + async def pre_reboot_persistent_resource( + self, + request: persistent_resource_service.RebootPersistentResourceRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + persistent_resource_service.RebootPersistentResourceRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for reboot_persistent_resource + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + async def post_reboot_persistent_resource( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for reboot_persistent_resource + + DEPRECATED. Please use the `post_reboot_persistent_resource_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. This `post_reboot_persistent_resource` interceptor runs + before the `post_reboot_persistent_resource_with_metadata` interceptor. + """ + return response + + async def post_reboot_persistent_resource_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for reboot_persistent_resource + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the PersistentResourceService server but before it is returned to user code. + + We recommend only using this `post_reboot_persistent_resource_with_metadata` + interceptor in new development instead of the `post_reboot_persistent_resource` interceptor. + When both interceptors are used, this `post_reboot_persistent_resource_with_metadata` interceptor runs after the + `post_reboot_persistent_resource` interceptor. The (possibly modified) response returned by + `post_reboot_persistent_resource` will be passed to + `post_reboot_persistent_resource_with_metadata`. + """ + return response, metadata + + async def pre_update_persistent_resource( + self, + request: persistent_resource_service.UpdatePersistentResourceRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + persistent_resource_service.UpdatePersistentResourceRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for update_persistent_resource + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + async def post_update_persistent_resource( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for update_persistent_resource + + DEPRECATED. Please use the `post_update_persistent_resource_with_metadata` + interceptor instead. + + Override in a subclass to read or manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. This `post_update_persistent_resource` interceptor runs + before the `post_update_persistent_resource_with_metadata` interceptor. + """ + return response + + async def post_update_persistent_resource_with_metadata( + self, + response: operations_pb2.Operation, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[operations_pb2.Operation, Sequence[Tuple[str, Union[str, bytes]]]]: + """Post-rpc interceptor for update_persistent_resource + + Override in a subclass to read or manipulate the response or metadata after it + is returned by the PersistentResourceService server but before it is returned to user code. + + We recommend only using this `post_update_persistent_resource_with_metadata` + interceptor in new development instead of the `post_update_persistent_resource` interceptor. + When both interceptors are used, this `post_update_persistent_resource_with_metadata` interceptor runs after the + `post_update_persistent_resource` interceptor. The (possibly modified) response returned by + `post_update_persistent_resource` will be passed to + `post_update_persistent_resource_with_metadata`. + """ + return response, metadata + + async def pre_get_location( + self, + request: locations_pb2.GetLocationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.GetLocationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_location + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + async def post_get_location( + self, response: locations_pb2.Location + ) -> locations_pb2.Location: + """Post-rpc interceptor for get_location + + Override in a subclass to manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. + """ + return response + + async def pre_list_locations( + self, + request: locations_pb2.ListLocationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + locations_pb2.ListLocationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_locations + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + async def post_list_locations( + self, response: locations_pb2.ListLocationsResponse + ) -> locations_pb2.ListLocationsResponse: + """Post-rpc interceptor for list_locations + + Override in a subclass to manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. + """ + return response + + async def pre_get_iam_policy( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.GetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + async def post_get_iam_policy( + self, response: policy_pb2.Policy + ) -> policy_pb2.Policy: + """Post-rpc interceptor for get_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. + """ + return response + + async def pre_set_iam_policy( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.SetIamPolicyRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + async def post_set_iam_policy( + self, response: policy_pb2.Policy + ) -> policy_pb2.Policy: + """Post-rpc interceptor for set_iam_policy + + Override in a subclass to manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. + """ + return response + + async def pre_test_iam_permissions( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + iam_policy_pb2.TestIamPermissionsRequest, + Sequence[Tuple[str, Union[str, bytes]]], + ]: + """Pre-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + async def post_test_iam_permissions( + self, response: iam_policy_pb2.TestIamPermissionsResponse + ) -> iam_policy_pb2.TestIamPermissionsResponse: + """Post-rpc interceptor for test_iam_permissions + + Override in a subclass to manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. + """ + return response + + async def pre_cancel_operation( + self, + request: operations_pb2.CancelOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.CancelOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + async def post_cancel_operation(self, response: None) -> None: + """Post-rpc interceptor for cancel_operation + + Override in a subclass to manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. + """ + return response + + async def pre_delete_operation( + self, + request: operations_pb2.DeleteOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.DeleteOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for delete_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + async def post_delete_operation(self, response: None) -> None: + """Post-rpc interceptor for delete_operation + + Override in a subclass to manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. + """ + return response + + async def pre_get_operation( + self, + request: operations_pb2.GetOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.GetOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for get_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + async def post_get_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for get_operation + + Override in a subclass to manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. + """ + return response + + async def pre_list_operations( + self, + request: operations_pb2.ListOperationsRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.ListOperationsRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for list_operations + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + async def post_list_operations( + self, response: operations_pb2.ListOperationsResponse + ) -> operations_pb2.ListOperationsResponse: + """Post-rpc interceptor for list_operations + + Override in a subclass to manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. + """ + return response + + async def pre_wait_operation( + self, + request: operations_pb2.WaitOperationRequest, + metadata: Sequence[Tuple[str, Union[str, bytes]]], + ) -> Tuple[ + operations_pb2.WaitOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] + ]: + """Pre-rpc interceptor for wait_operation + + Override in a subclass to manipulate the request or metadata + before they are sent to the PersistentResourceService server. + """ + return request, metadata + + async def post_wait_operation( + self, response: operations_pb2.Operation + ) -> operations_pb2.Operation: + """Post-rpc interceptor for wait_operation + + Override in a subclass to manipulate the response + after it is returned by the PersistentResourceService server but before + it is returned to user code. + """ + return response + + +@dataclasses.dataclass +class AsyncPersistentResourceServiceRestStub: + _session: AsyncAuthorizedSession + _host: str + _interceptor: AsyncPersistentResourceServiceRestInterceptor + + +class AsyncPersistentResourceServiceRestTransport( + _BasePersistentResourceServiceRestTransport +): + """Asynchronous REST backend transport for PersistentResourceService. + + A service for managing Vertex AI's machine learning + PersistentResource. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + """ + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[ga_credentials_async.Credentials] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + url_scheme: str = "https", + interceptor: Optional[AsyncPersistentResourceServiceRestInterceptor] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[google.auth.aio.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + url_scheme (str): the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=False, + url_scheme=url_scheme, + api_audience=None, + ) + self._session = AsyncAuthorizedSession(self._credentials) # type: ignore + self._interceptor = ( + interceptor or AsyncPersistentResourceServiceRestInterceptor() + ) + self._wrap_with_kind = True + self._prep_wrapped_messages(client_info) + self._operations_client: Optional[operations_v1.AsyncOperationsRestClient] = ( + None + ) + + def _prep_wrapped_messages(self, client_info): + """Precompute the wrapped methods, overriding the base class method to use async wrappers.""" + self._wrapped_methods = { + self.create_persistent_resource: self._wrap_method( + self.create_persistent_resource, + default_timeout=None, + client_info=client_info, + ), + self.get_persistent_resource: self._wrap_method( + self.get_persistent_resource, + default_timeout=None, + client_info=client_info, + ), + self.list_persistent_resources: self._wrap_method( + self.list_persistent_resources, + default_timeout=None, + client_info=client_info, + ), + self.delete_persistent_resource: self._wrap_method( + self.delete_persistent_resource, + default_timeout=None, + client_info=client_info, + ), + self.update_persistent_resource: self._wrap_method( + self.update_persistent_resource, + default_timeout=None, + client_info=client_info, + ), + self.reboot_persistent_resource: self._wrap_method( + self.reboot_persistent_resource, + default_timeout=None, + client_info=client_info, + ), + self.get_location: self._wrap_method( + self.get_location, + default_timeout=None, + client_info=client_info, + ), + self.list_locations: self._wrap_method( + self.list_locations, + default_timeout=None, + client_info=client_info, + ), + self.get_iam_policy: self._wrap_method( + self.get_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.set_iam_policy: self._wrap_method( + self.set_iam_policy, + default_timeout=None, + client_info=client_info, + ), + self.test_iam_permissions: self._wrap_method( + self.test_iam_permissions, + default_timeout=None, + client_info=client_info, + ), + self.cancel_operation: self._wrap_method( + self.cancel_operation, + default_timeout=None, + client_info=client_info, + ), + self.delete_operation: self._wrap_method( + self.delete_operation, + default_timeout=None, + client_info=client_info, + ), + self.get_operation: self._wrap_method( + self.get_operation, + default_timeout=None, + client_info=client_info, + ), + self.list_operations: self._wrap_method( + self.list_operations, + default_timeout=None, + client_info=client_info, + ), + self.wait_operation: self._wrap_method( + self.wait_operation, + default_timeout=None, + client_info=client_info, + ), + } + + def _wrap_method(self, func, *args, **kwargs): + if self._wrap_with_kind: # pragma: NO COVER + kwargs["kind"] = self.kind + return gapic_v1.method_async.wrap_method(func, *args, **kwargs) + + class _CreatePersistentResource( + _BasePersistentResourceServiceRestTransport._BaseCreatePersistentResource, + AsyncPersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncPersistentResourceServiceRestTransport.CreatePersistentResource" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: persistent_resource_service.CreatePersistentResourceRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the create persistent + resource method over HTTP. + + Args: + request (~.persistent_resource_service.CreatePersistentResourceRequest): + The request object. Request message for + [PersistentResourceService.CreatePersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.CreatePersistentResource]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseCreatePersistentResource._get_http_options() + ) + + request, metadata = await self._interceptor.pre_create_persistent_resource( + request, metadata + ) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseCreatePersistentResource._get_transcoded_request( + http_options, request + ) + + body = _BasePersistentResourceServiceRestTransport._BaseCreatePersistentResource._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseCreatePersistentResource._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.CreatePersistentResource", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "CreatePersistentResource", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncPersistentResourceServiceRestTransport._CreatePersistentResource._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = operations_pb2.Operation() + pb_resp = resp + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_create_persistent_resource(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = ( + await self._interceptor.post_create_persistent_resource_with_metadata( + resp, response_metadata + ) + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceAsyncClient.create_persistent_resource", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "CreatePersistentResource", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _DeletePersistentResource( + _BasePersistentResourceServiceRestTransport._BaseDeletePersistentResource, + AsyncPersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncPersistentResourceServiceRestTransport.DeletePersistentResource" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: persistent_resource_service.DeletePersistentResourceRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the delete persistent + resource method over HTTP. + + Args: + request (~.persistent_resource_service.DeletePersistentResourceRequest): + The request object. Request message for + [PersistentResourceService.DeletePersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.DeletePersistentResource]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseDeletePersistentResource._get_http_options() + ) + + request, metadata = await self._interceptor.pre_delete_persistent_resource( + request, metadata + ) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseDeletePersistentResource._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseDeletePersistentResource._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.DeletePersistentResource", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "DeletePersistentResource", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncPersistentResourceServiceRestTransport._DeletePersistentResource._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = operations_pb2.Operation() + pb_resp = resp + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_delete_persistent_resource(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = ( + await self._interceptor.post_delete_persistent_resource_with_metadata( + resp, response_metadata + ) + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceAsyncClient.delete_persistent_resource", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "DeletePersistentResource", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _GetPersistentResource( + _BasePersistentResourceServiceRestTransport._BaseGetPersistentResource, + AsyncPersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncPersistentResourceServiceRestTransport.GetPersistentResource" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: persistent_resource_service.GetPersistentResourceRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> persistent_resource.PersistentResource: + r"""Call the get persistent resource method over HTTP. + + Args: + request (~.persistent_resource_service.GetPersistentResourceRequest): + The request object. Request message for + [PersistentResourceService.GetPersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.GetPersistentResource]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.persistent_resource.PersistentResource: + Represents long-lasting resources + that are dedicated to users to runs + custom workloads. A PersistentResource + can have multiple node pools and each + node pool can have its own machine spec. + + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseGetPersistentResource._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_persistent_resource( + request, metadata + ) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseGetPersistentResource._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseGetPersistentResource._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.GetPersistentResource", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "GetPersistentResource", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncPersistentResourceServiceRestTransport._GetPersistentResource._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = persistent_resource.PersistentResource() + pb_resp = persistent_resource.PersistentResource.pb(resp) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_get_persistent_resource(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = ( + await self._interceptor.post_get_persistent_resource_with_metadata( + resp, response_metadata + ) + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = persistent_resource.PersistentResource.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceAsyncClient.get_persistent_resource", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "GetPersistentResource", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _ListPersistentResources( + _BasePersistentResourceServiceRestTransport._BaseListPersistentResources, + AsyncPersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncPersistentResourceServiceRestTransport.ListPersistentResources" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: persistent_resource_service.ListPersistentResourcesRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> persistent_resource_service.ListPersistentResourcesResponse: + r"""Call the list persistent resources method over HTTP. + + Args: + request (~.persistent_resource_service.ListPersistentResourcesRequest): + The request object. Request message for + [PersistentResourceService.ListPersistentResources][google.cloud.aiplatform.v1.PersistentResourceService.ListPersistentResources]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.persistent_resource_service.ListPersistentResourcesResponse: + Response message for + [PersistentResourceService.ListPersistentResources][google.cloud.aiplatform.v1.PersistentResourceService.ListPersistentResources] + + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseListPersistentResources._get_http_options() + ) + + request, metadata = await self._interceptor.pre_list_persistent_resources( + request, metadata + ) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseListPersistentResources._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseListPersistentResources._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.ListPersistentResources", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "ListPersistentResources", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncPersistentResourceServiceRestTransport._ListPersistentResources._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = persistent_resource_service.ListPersistentResourcesResponse() + pb_resp = persistent_resource_service.ListPersistentResourcesResponse.pb( + resp + ) + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_list_persistent_resources(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = ( + await self._interceptor.post_list_persistent_resources_with_metadata( + resp, response_metadata + ) + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = persistent_resource_service.ListPersistentResourcesResponse.to_json( + response + ) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceAsyncClient.list_persistent_resources", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "ListPersistentResources", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _RebootPersistentResource( + _BasePersistentResourceServiceRestTransport._BaseRebootPersistentResource, + AsyncPersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncPersistentResourceServiceRestTransport.RebootPersistentResource" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: persistent_resource_service.RebootPersistentResourceRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the reboot persistent + resource method over HTTP. + + Args: + request (~.persistent_resource_service.RebootPersistentResourceRequest): + The request object. Request message for + [PersistentResourceService.RebootPersistentResource][google.cloud.aiplatform.v1.PersistentResourceService.RebootPersistentResource]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseRebootPersistentResource._get_http_options() + ) + + request, metadata = await self._interceptor.pre_reboot_persistent_resource( + request, metadata + ) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseRebootPersistentResource._get_transcoded_request( + http_options, request + ) + + body = _BasePersistentResourceServiceRestTransport._BaseRebootPersistentResource._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseRebootPersistentResource._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.RebootPersistentResource", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "RebootPersistentResource", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncPersistentResourceServiceRestTransport._RebootPersistentResource._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = operations_pb2.Operation() + pb_resp = resp + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_reboot_persistent_resource(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = ( + await self._interceptor.post_reboot_persistent_resource_with_metadata( + resp, response_metadata + ) + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceAsyncClient.reboot_persistent_resource", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "RebootPersistentResource", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + class _UpdatePersistentResource( + _BasePersistentResourceServiceRestTransport._BaseUpdatePersistentResource, + AsyncPersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncPersistentResourceServiceRestTransport.UpdatePersistentResource" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: persistent_resource_service.UpdatePersistentResourceRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the update persistent + resource method over HTTP. + + Args: + request (~.persistent_resource_service.UpdatePersistentResourceRequest): + The request object. Request message for + UpdatePersistentResource method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + ~.operations_pb2.Operation: + This resource represents a + long-running operation that is the + result of a network API call. + + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseUpdatePersistentResource._get_http_options() + ) + + request, metadata = await self._interceptor.pre_update_persistent_resource( + request, metadata + ) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseUpdatePersistentResource._get_transcoded_request( + http_options, request + ) + + body = _BasePersistentResourceServiceRestTransport._BaseUpdatePersistentResource._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseUpdatePersistentResource._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = type(request).to_json(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.UpdatePersistentResource", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "UpdatePersistentResource", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncPersistentResourceServiceRestTransport._UpdatePersistentResource._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + # Return the response + resp = operations_pb2.Operation() + pb_resp = resp + content = await response.read() + json_format.Parse(content, pb_resp, ignore_unknown_fields=True) + resp = await self._interceptor.post_update_persistent_resource(resp) + response_metadata = [(k, str(v)) for k, v in response.headers.items()] + resp, _ = ( + await self._interceptor.post_update_persistent_resource_with_metadata( + resp, response_metadata + ) + ) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": "OK", # need to obtain this properly + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceAsyncClient.update_persistent_resource", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "UpdatePersistentResource", + "metadata": http_response["headers"], + "httpResponse": http_response, + }, + ) + + return resp + + @property + def operations_client(self) -> AsyncOperationsRestClient: + """Create the async client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Only create a new client if we do not already have one. + if self._operations_client is None: + http_options: Dict[str, List[Dict[str, str]]] = { + "google.longrunning.Operations.CancelOperation": [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + ], + "google.longrunning.Operations.DeleteOperation": [ + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + 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"/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/schedules/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/schedules/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=reasoningEngines/*/sessions/*}/operations", + }, + ], + "google.longrunning.Operations.WaitOperation": [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:wait", + }, + ], + } + + rest_transport = operations_v1.AsyncOperationsRestTransport( # type: ignore + host=self._host, + # use the credentials which are saved + credentials=self._credentials, # type: ignore + http_options=http_options, + path_prefix="v1", + ) + + self._operations_client = AsyncOperationsRestClient( + transport=rest_transport + ) + + # Return the client from cache. + return self._operations_client + + @property + def create_persistent_resource( + self, + ) -> Callable[ + [persistent_resource_service.CreatePersistentResourceRequest], + operations_pb2.Operation, + ]: + return self._CreatePersistentResource(self._session, self._host, self._interceptor) # type: ignore + + @property + def delete_persistent_resource( + self, + ) -> Callable[ + [persistent_resource_service.DeletePersistentResourceRequest], + operations_pb2.Operation, + ]: + return self._DeletePersistentResource(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_persistent_resource( + self, + ) -> Callable[ + [persistent_resource_service.GetPersistentResourceRequest], + persistent_resource.PersistentResource, + ]: + return self._GetPersistentResource(self._session, self._host, self._interceptor) # type: ignore + + @property + def list_persistent_resources( + self, + ) -> Callable[ + [persistent_resource_service.ListPersistentResourcesRequest], + persistent_resource_service.ListPersistentResourcesResponse, + ]: + return self._ListPersistentResources(self._session, self._host, self._interceptor) # type: ignore + + @property + def reboot_persistent_resource( + self, + ) -> Callable[ + [persistent_resource_service.RebootPersistentResourceRequest], + operations_pb2.Operation, + ]: + return self._RebootPersistentResource(self._session, self._host, self._interceptor) # type: ignore + + @property + def update_persistent_resource( + self, + ) -> Callable[ + [persistent_resource_service.UpdatePersistentResourceRequest], + operations_pb2.Operation, + ]: + return self._UpdatePersistentResource(self._session, self._host, self._interceptor) # type: ignore + + @property + def get_location(self): + return self._GetLocation(self._session, self._host, self._interceptor) # type: ignore + + class _GetLocation( + _BasePersistentResourceServiceRestTransport._BaseGetLocation, + AsyncPersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash("AsyncPersistentResourceServiceRestTransport.GetLocation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: locations_pb2.GetLocationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Call the get location method over HTTP. + + Args: + request (locations_pb2.GetLocationRequest): + The request object for GetLocation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.Location: Response from GetLocation method. + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseGetLocation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_location( + request, metadata + ) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseGetLocation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseGetLocation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "GetLocation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncPersistentResourceServiceRestTransport._GetLocation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = locations_pb2.Location() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_get_location(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceAsyncClient.GetLocation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "GetLocation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_locations(self): + return self._ListLocations(self._session, self._host, self._interceptor) # type: ignore + + class _ListLocations( + _BasePersistentResourceServiceRestTransport._BaseListLocations, + AsyncPersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash("AsyncPersistentResourceServiceRestTransport.ListLocations") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: locations_pb2.ListLocationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Call the list locations method over HTTP. + + Args: + request (locations_pb2.ListLocationsRequest): + The request object for ListLocations method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + locations_pb2.ListLocationsResponse: Response from ListLocations method. + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseListLocations._get_http_options() + ) + + request, metadata = await self._interceptor.pre_list_locations( + request, metadata + ) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseListLocations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseListLocations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "ListLocations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncPersistentResourceServiceRestTransport._ListLocations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = locations_pb2.ListLocationsResponse() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_list_locations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceAsyncClient.ListLocations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "ListLocations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def get_iam_policy(self): + return self._GetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _GetIamPolicy( + _BasePersistentResourceServiceRestTransport._BaseGetIamPolicy, + AsyncPersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash("AsyncPersistentResourceServiceRestTransport.GetIamPolicy") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: iam_policy_pb2.GetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the get iam policy method over HTTP. + + Args: + request (iam_policy_pb2.GetIamPolicyRequest): + The request object for GetIamPolicy method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from GetIamPolicy method. + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseGetIamPolicy._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_iam_policy( + request, metadata + ) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseGetIamPolicy._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseGetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "GetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncPersistentResourceServiceRestTransport._GetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_get_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceAsyncClient.GetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "GetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def set_iam_policy(self): + return self._SetIamPolicy(self._session, self._host, self._interceptor) # type: ignore + + class _SetIamPolicy( + _BasePersistentResourceServiceRestTransport._BaseSetIamPolicy, + AsyncPersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash("AsyncPersistentResourceServiceRestTransport.SetIamPolicy") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + data=body, + ) + return response + + async def __call__( + self, + request: iam_policy_pb2.SetIamPolicyRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Call the set iam policy method over HTTP. + + Args: + request (iam_policy_pb2.SetIamPolicyRequest): + The request object for SetIamPolicy method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + policy_pb2.Policy: Response from SetIamPolicy method. + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseSetIamPolicy._get_http_options() + ) + + request, metadata = await self._interceptor.pre_set_iam_policy( + request, metadata + ) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseSetIamPolicy._get_transcoded_request( + http_options, request + ) + + body = _BasePersistentResourceServiceRestTransport._BaseSetIamPolicy._get_request_body_json( + transcoded_request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseSetIamPolicy._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "SetIamPolicy", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncPersistentResourceServiceRestTransport._SetIamPolicy._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + body, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = policy_pb2.Policy() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_set_iam_policy(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceAsyncClient.SetIamPolicy", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "SetIamPolicy", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def test_iam_permissions(self): + return self._TestIamPermissions(self._session, self._host, self._interceptor) # type: ignore + + class _TestIamPermissions( + _BasePersistentResourceServiceRestTransport._BaseTestIamPermissions, + AsyncPersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash( + "AsyncPersistentResourceServiceRestTransport.TestIamPermissions" + ) + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: iam_policy_pb2.TestIamPermissionsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Call the test iam permissions method over HTTP. + + Args: + request (iam_policy_pb2.TestIamPermissionsRequest): + The request object for TestIamPermissions method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + iam_policy_pb2.TestIamPermissionsResponse: Response from TestIamPermissions method. + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseTestIamPermissions._get_http_options() + ) + + request, metadata = await self._interceptor.pre_test_iam_permissions( + request, metadata + ) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseTestIamPermissions._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseTestIamPermissions._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "TestIamPermissions", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncPersistentResourceServiceRestTransport._TestIamPermissions._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = iam_policy_pb2.TestIamPermissionsResponse() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_test_iam_permissions(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceAsyncClient.TestIamPermissions", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "TestIamPermissions", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def cancel_operation(self): + return self._CancelOperation(self._session, self._host, self._interceptor) # type: ignore + + class _CancelOperation( + _BasePersistentResourceServiceRestTransport._BaseCancelOperation, + AsyncPersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash("AsyncPersistentResourceServiceRestTransport.CancelOperation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.CancelOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the cancel operation method over HTTP. + + Args: + request (operations_pb2.CancelOperationRequest): + The request object for CancelOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseCancelOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_cancel_operation( + request, metadata + ) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseCancelOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseCancelOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.CancelOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "CancelOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncPersistentResourceServiceRestTransport._CancelOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + return await self._interceptor.post_cancel_operation(None) + + @property + def delete_operation(self): + return self._DeleteOperation(self._session, self._host, self._interceptor) # type: ignore + + class _DeleteOperation( + _BasePersistentResourceServiceRestTransport._BaseDeleteOperation, + AsyncPersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash("AsyncPersistentResourceServiceRestTransport.DeleteOperation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.DeleteOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Call the delete operation method over HTTP. + + Args: + request (operations_pb2.DeleteOperationRequest): + The request object for DeleteOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseDeleteOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_delete_operation( + request, metadata + ) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseDeleteOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseDeleteOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.DeleteOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "DeleteOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncPersistentResourceServiceRestTransport._DeleteOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + return await self._interceptor.post_delete_operation(None) + + @property + def get_operation(self): + return self._GetOperation(self._session, self._host, self._interceptor) # type: ignore + + class _GetOperation( + _BasePersistentResourceServiceRestTransport._BaseGetOperation, + AsyncPersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash("AsyncPersistentResourceServiceRestTransport.GetOperation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.GetOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the get operation method over HTTP. + + Args: + request (operations_pb2.GetOperationRequest): + The request object for GetOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from GetOperation method. + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseGetOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_get_operation( + request, metadata + ) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseGetOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseGetOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "GetOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncPersistentResourceServiceRestTransport._GetOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_get_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceAsyncClient.GetOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "GetOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def list_operations(self): + return self._ListOperations(self._session, self._host, self._interceptor) # type: ignore + + class _ListOperations( + _BasePersistentResourceServiceRestTransport._BaseListOperations, + AsyncPersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash("AsyncPersistentResourceServiceRestTransport.ListOperations") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.ListOperationsRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Call the list operations method over HTTP. + + Args: + request (operations_pb2.ListOperationsRequest): + The request object for ListOperations method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.ListOperationsResponse: Response from ListOperations method. + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseListOperations._get_http_options() + ) + + request, metadata = await self._interceptor.pre_list_operations( + request, metadata + ) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseListOperations._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseListOperations._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "ListOperations", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncPersistentResourceServiceRestTransport._ListOperations._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = operations_pb2.ListOperationsResponse() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_list_operations(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceAsyncClient.ListOperations", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "ListOperations", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def wait_operation(self): + return self._WaitOperation(self._session, self._host, self._interceptor) # type: ignore + + class _WaitOperation( + _BasePersistentResourceServiceRestTransport._BaseWaitOperation, + AsyncPersistentResourceServiceRestStub, + ): + def __hash__(self): + return hash("AsyncPersistentResourceServiceRestTransport.WaitOperation") + + @staticmethod + async def _get_response( + host, + metadata, + query_params, + session, + timeout, + transcoded_request, + body=None, + ): + + uri = transcoded_request["uri"] + method = transcoded_request["method"] + headers = dict(metadata) + headers["Content-Type"] = "application/json" + response = await getattr(session, method)( + "{host}{uri}".format(host=host, uri=uri), + timeout=timeout, + headers=headers, + params=rest_helpers.flatten_query_params(query_params, strict=True), + ) + return response + + async def __call__( + self, + request: operations_pb2.WaitOperationRequest, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Optional[float] = None, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Call the wait operation method over HTTP. + + Args: + request (operations_pb2.WaitOperationRequest): + The request object for WaitOperation method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + operations_pb2.Operation: Response from WaitOperation method. + """ + + http_options = ( + _BasePersistentResourceServiceRestTransport._BaseWaitOperation._get_http_options() + ) + + request, metadata = await self._interceptor.pre_wait_operation( + request, metadata + ) + transcoded_request = _BasePersistentResourceServiceRestTransport._BaseWaitOperation._get_transcoded_request( + http_options, request + ) + + # Jsonify the query params + query_params = _BasePersistentResourceServiceRestTransport._BaseWaitOperation._get_query_params_json( + transcoded_request + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + try: + request_payload = json_format.MessageToJson(request) + except: + request_payload = None + http_request = { + "payload": request_payload, + "requestMethod": method, + "requestUrl": request_url, + "headers": dict(metadata), + } + _LOGGER.debug( + f"Sending request for google.cloud.aiplatform_v1.PersistentResourceServiceClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "WaitOperation", + "httpRequest": http_request, + "metadata": http_request["headers"], + }, + ) + + # Send the request + response = await AsyncPersistentResourceServiceRestTransport._WaitOperation._get_response( + self._host, + metadata, + query_params, + self._session, + timeout, + transcoded_request, + ) + + # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception + # subclass. + if response.status_code >= 400: + content = await response.read() + payload = json.loads(content.decode("utf-8")) + request_url = "{host}{uri}".format( + host=self._host, uri=transcoded_request["uri"] + ) + method = transcoded_request["method"] + raise core_exceptions.format_http_response_error(response, method, request_url, payload) # type: ignore + + content = await response.read() + resp = operations_pb2.Operation() + resp = json_format.Parse(content, resp) + resp = await self._interceptor.post_wait_operation(resp) + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + logging.DEBUG + ): # pragma: NO COVER + try: + response_payload = json_format.MessageToJson(resp) + except: + response_payload = None + http_response = { + "payload": response_payload, + "headers": dict(response.headers), + "status": response.status_code, + } + _LOGGER.debug( + "Received response for google.cloud.aiplatform_v1.PersistentResourceServiceAsyncClient.WaitOperation", + extra={ + "serviceName": "google.cloud.aiplatform.v1.PersistentResourceService", + "rpcName": "WaitOperation", + "httpResponse": http_response, + "metadata": http_response["headers"], + }, + ) + return resp + + @property + def kind(self) -> str: + return "rest_asyncio" + + async def close(self): + await self._session.close() diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/transports/rest_base.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/transports/rest_base.py new file mode 100644 index 0000000000000000000000000000000000000000..a51b25bcdee7e1cb067e63312d4bc8c02987a5e5 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/persistent_resource_service/transports/rest_base.py @@ -0,0 +1,2799 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import json # type: ignore +from google.api_core import path_template +from google.api_core import gapic_v1 + +from google.protobuf import json_format +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.cloud.location import locations_pb2 # type: ignore +from .base import PersistentResourceServiceTransport, DEFAULT_CLIENT_INFO + +import re +from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union + + +from google.cloud.aiplatform_v1.types import persistent_resource +from google.cloud.aiplatform_v1.types import persistent_resource_service +from google.longrunning import operations_pb2 # type: ignore + + +class _BasePersistentResourceServiceRestTransport(PersistentResourceServiceTransport): + """Base REST backend transport for PersistentResourceService. + + Note: This class is not meant to be used directly. Use its sync and + async sub-classes instead. + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends JSON representations of protocol buffers over HTTP/1.1 + """ + + def __init__( + self, + *, + host: str = "aiplatform.googleapis.com", + credentials: Optional[Any] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + url_scheme: str = "https", + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + Args: + host (Optional[str]): + The hostname to connect to (default: 'aiplatform.googleapis.com'). + credentials (Optional[Any]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you are developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + url_scheme: the protocol scheme for the API endpoint. Normally + "https", but for testing or local servers, + "http" can be specified. + """ + # Run the base constructor + maybe_url_match = re.match("^(?Phttp(?:s)?://)?(?P.*)$", host) + if maybe_url_match is None: + raise ValueError( + f"Unexpected hostname structure: {host}" + ) # pragma: NO COVER + + url_match_items = maybe_url_match.groupdict() + + host = f"{url_scheme}://{host}" if not url_match_items["scheme"] else host + + super().__init__( + host=host, + credentials=credentials, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + class _BaseCreatePersistentResource: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + "persistentResourceId": "", + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{parent=projects/*/locations/*}/persistentResources", + "body": "persistent_resource", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = persistent_resource_service.CreatePersistentResourceRequest.pb( + request + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request["body"], use_integers_for_enums=True + ) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BasePersistentResourceServiceRestTransport._BaseCreatePersistentResource._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseDeletePersistentResource: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = persistent_resource_service.DeletePersistentResourceRequest.pb( + request + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BasePersistentResourceServiceRestTransport._BaseDeletePersistentResource._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseGetPersistentResource: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = persistent_resource_service.GetPersistentResourceRequest.pb( + request + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BasePersistentResourceServiceRestTransport._BaseGetPersistentResource._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseListPersistentResources: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/v1/{parent=projects/*/locations/*}/persistentResources", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = persistent_resource_service.ListPersistentResourcesRequest.pb( + request + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BasePersistentResourceServiceRestTransport._BaseListPersistentResources._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseRebootPersistentResource: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = {} + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*}:reboot", + "body": "*", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = persistent_resource_service.RebootPersistentResourceRequest.pb( + request + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request["body"], use_integers_for_enums=True + ) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BasePersistentResourceServiceRestTransport._BaseRebootPersistentResource._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseUpdatePersistentResource: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + __REQUIRED_FIELDS_DEFAULT_VALUES: Dict[str, Any] = { + "updateMask": {}, + } + + @classmethod + def _get_unset_required_fields(cls, message_dict): + return { + k: v + for k, v in cls.__REQUIRED_FIELDS_DEFAULT_VALUES.items() + if k not in message_dict + } + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "patch", + "uri": "/v1/{persistent_resource.name=projects/*/locations/*/persistentResources/*}", + "body": "persistent_resource", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + pb_request = persistent_resource_service.UpdatePersistentResourceRequest.pb( + request + ) + transcoded_request = path_template.transcode(http_options, pb_request) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + # Jsonify the request body + + body = json_format.MessageToJson( + transcoded_request["body"], use_integers_for_enums=True + ) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads( + json_format.MessageToJson( + transcoded_request["query_params"], + use_integers_for_enums=True, + ) + ) + query_params.update( + _BasePersistentResourceServiceRestTransport._BaseUpdatePersistentResource._get_unset_required_fields( + query_params + ) + ) + + query_params["$alt"] = "json;enum-encoding=int" + return query_params + + class _BaseGetLocation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseListLocations: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*}/locations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*}/locations", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseGetIamPolicy: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/models/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/models/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/endpoints/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/publishers/*/models/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:getIamPolicy", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureGroups/*}:getIamPolicy", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseSetIamPolicy: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/models/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/models/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/endpoints/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:setIamPolicy", + "body": "*", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureGroups/*}:setIamPolicy", + "body": "*", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_request_body_json(transcoded_request): + body = json.dumps(transcoded_request["body"]) + return body + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseTestIamPermissions: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/models/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/v1/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/models/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/endpoints/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/notebookRuntimeTemplates/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureOnlineStores/*/featureViews/*}:testIamPermissions", + }, + { + "method": "post", + "uri": "/ui/{resource=projects/*/locations/*/featureGroups/*}:testIamPermissions", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseCancelOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:cancel", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseDeleteOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/extensions/*}/operations", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}", + }, + { + "method": "delete", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "delete", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseGetOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}", + }, + { + "method": "get", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseListOperations: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/agents/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/apps/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/extensions/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/schedules/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/schedules/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "get", + "uri": "/v1/{name=reasoningEngines/*/sessions/*}/operations", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + class _BaseWaitOperation: + def __hash__(self): # pragma: NO COVER + return NotImplementedError("__hash__ must be implemented.") + + @staticmethod + def _get_http_options(): + http_options: List[Dict[str, str]] = [ + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/featureMonitors/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragEngineConfig/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/ragCorpora/*/ragFiles/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/reasoningEngines/*/sessions/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait", + }, + { + "method": "post", + "uri": "/v1/{name=reasoningEngines/*/sessions/*/operations/*}:wait", + }, + ] + return http_options + + @staticmethod + def _get_transcoded_request(http_options, request): + request_kwargs = json_format.MessageToDict(request) + transcoded_request = path_template.transcode(http_options, **request_kwargs) + return transcoded_request + + @staticmethod + def _get_query_params_json(transcoded_request): + query_params = json.loads(json.dumps(transcoded_request["query_params"])) + return query_params + + +__all__ = ("_BasePersistentResourceServiceRestTransport",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/pipeline_service/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/pipeline_service/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..3fb034d0b007316572cee378af45b917b77e424c --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/pipeline_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import PipelineServiceClient +from .async_client import PipelineServiceAsyncClient + +__all__ = ( + "PipelineServiceClient", + "PipelineServiceAsyncClient", +) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/pipeline_service/async_client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/pipeline_service/async_client.py new file mode 100644 index 0000000000000000000000000000000000000000..8029eff7bc25f443851f791e5f6eeb15e17e5da0 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/pipeline_service/async_client.py @@ -0,0 +1,2608 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging as std_logging +from collections import OrderedDict +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, +) + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.services.pipeline_service import pagers +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import model +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.aiplatform_v1.types import pipeline_job +from google.cloud.aiplatform_v1.types import pipeline_job as gca_pipeline_job +from google.cloud.aiplatform_v1.types import pipeline_service +from google.cloud.aiplatform_v1.types import pipeline_state +from google.cloud.aiplatform_v1.types import service_networking +from google.cloud.aiplatform_v1.types import training_pipeline +from google.cloud.aiplatform_v1.types import training_pipeline as gca_training_pipeline +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.struct_pb2 as struct_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +import google.rpc.status_pb2 as status_pb2 # type: ignore +from .transports.base import PipelineServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import PipelineServiceGrpcAsyncIOTransport +from .client import PipelineServiceClient + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class PipelineServiceAsyncClient: + """A service for creating and managing Vertex AI's pipelines. This + includes both ``TrainingPipeline`` resources (used for AutoML and + custom training) and ``PipelineJob`` resources (used for Vertex AI + Pipelines). + """ + + _client: PipelineServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = PipelineServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = PipelineServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = PipelineServiceClient._DEFAULT_ENDPOINT_TEMPLATE + _DEFAULT_UNIVERSE = PipelineServiceClient._DEFAULT_UNIVERSE + + artifact_path = staticmethod(PipelineServiceClient.artifact_path) + parse_artifact_path = staticmethod(PipelineServiceClient.parse_artifact_path) + context_path = staticmethod(PipelineServiceClient.context_path) + parse_context_path = staticmethod(PipelineServiceClient.parse_context_path) + custom_job_path = staticmethod(PipelineServiceClient.custom_job_path) + parse_custom_job_path = staticmethod(PipelineServiceClient.parse_custom_job_path) + endpoint_path = staticmethod(PipelineServiceClient.endpoint_path) + parse_endpoint_path = staticmethod(PipelineServiceClient.parse_endpoint_path) + execution_path = staticmethod(PipelineServiceClient.execution_path) + parse_execution_path = staticmethod(PipelineServiceClient.parse_execution_path) + model_path = staticmethod(PipelineServiceClient.model_path) + parse_model_path = staticmethod(PipelineServiceClient.parse_model_path) + network_path = staticmethod(PipelineServiceClient.network_path) + parse_network_path = staticmethod(PipelineServiceClient.parse_network_path) + network_attachment_path = staticmethod( + PipelineServiceClient.network_attachment_path + ) + parse_network_attachment_path = staticmethod( + PipelineServiceClient.parse_network_attachment_path + ) + pipeline_job_path = staticmethod(PipelineServiceClient.pipeline_job_path) + parse_pipeline_job_path = staticmethod( + PipelineServiceClient.parse_pipeline_job_path + ) + training_pipeline_path = staticmethod(PipelineServiceClient.training_pipeline_path) + parse_training_pipeline_path = staticmethod( + PipelineServiceClient.parse_training_pipeline_path + ) + common_billing_account_path = staticmethod( + PipelineServiceClient.common_billing_account_path + ) + parse_common_billing_account_path = staticmethod( + PipelineServiceClient.parse_common_billing_account_path + ) + common_folder_path = staticmethod(PipelineServiceClient.common_folder_path) + parse_common_folder_path = staticmethod( + PipelineServiceClient.parse_common_folder_path + ) + common_organization_path = staticmethod( + PipelineServiceClient.common_organization_path + ) + parse_common_organization_path = staticmethod( + PipelineServiceClient.parse_common_organization_path + ) + common_project_path = staticmethod(PipelineServiceClient.common_project_path) + parse_common_project_path = staticmethod( + PipelineServiceClient.parse_common_project_path + ) + common_location_path = staticmethod(PipelineServiceClient.common_location_path) + parse_common_location_path = staticmethod( + PipelineServiceClient.parse_common_location_path + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + PipelineServiceAsyncClient: The constructed client. + """ + sa_info_func = ( + PipelineServiceClient.from_service_account_info.__func__ # type: ignore + ) + return sa_info_func(PipelineServiceAsyncClient, info, *args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + PipelineServiceAsyncClient: The constructed client. + """ + sa_file_func = ( + PipelineServiceClient.from_service_account_file.__func__ # type: ignore + ) + return sa_file_func(PipelineServiceAsyncClient, filename, *args, **kwargs) + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[ClientOptions] = None + ): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return PipelineServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> PipelineServiceTransport: + """Returns the transport used by the client instance. + + Returns: + PipelineServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = PipelineServiceClient.get_transport_class + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, PipelineServiceTransport, Callable[..., PipelineServiceTransport] + ] + ] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the pipeline service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,PipelineServiceTransport,Callable[..., PipelineServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport to use. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the PipelineServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = PipelineServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.PipelineServiceAsyncClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.PipelineService", + "universeDomain": getattr( + self._client._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._client._transport._credentials).__module__}.{type(self._client._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, "get_cred_info", lambda: None + )(), + } + if hasattr(self._client._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.PipelineService", + "credentialsType": None, + } + ), + ) + + async def create_training_pipeline( + self, + request: Optional[ + Union[pipeline_service.CreateTrainingPipelineRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + training_pipeline: Optional[gca_training_pipeline.TrainingPipeline] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_training_pipeline.TrainingPipeline: + r"""Creates a TrainingPipeline. A created + TrainingPipeline right away will be attempted to be run. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_training_pipeline(): + # Create a client + client = aiplatform_v1.PipelineServiceAsyncClient() + + # Initialize request argument(s) + training_pipeline = aiplatform_v1.TrainingPipeline() + training_pipeline.display_name = "display_name_value" + training_pipeline.training_task_definition = "training_task_definition_value" + training_pipeline.training_task_inputs.null_value = "NULL_VALUE" + + request = aiplatform_v1.CreateTrainingPipelineRequest( + parent="parent_value", + training_pipeline=training_pipeline, + ) + + # Make the request + response = await client.create_training_pipeline(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreateTrainingPipelineRequest, dict]]): + The request object. Request message for + [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CreateTrainingPipeline]. + parent (:class:`str`): + Required. The resource name of the Location to create + the TrainingPipeline in. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + training_pipeline (:class:`google.cloud.aiplatform_v1.types.TrainingPipeline`): + Required. The TrainingPipeline to + create. + + This corresponds to the ``training_pipeline`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.TrainingPipeline: + The TrainingPipeline orchestrates tasks associated with training a Model. It + always executes the training task, and optionally may + also export data from Vertex AI's Dataset which + becomes the training input, + [upload][google.cloud.aiplatform.v1.ModelService.UploadModel] + the Model to Vertex AI, and evaluate the Model. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, training_pipeline] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, pipeline_service.CreateTrainingPipelineRequest): + request = pipeline_service.CreateTrainingPipelineRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if training_pipeline is not None: + request.training_pipeline = training_pipeline + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_training_pipeline + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_training_pipeline( + self, + request: Optional[ + Union[pipeline_service.GetTrainingPipelineRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> training_pipeline.TrainingPipeline: + r"""Gets a TrainingPipeline. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_training_pipeline(): + # Create a client + client = aiplatform_v1.PipelineServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetTrainingPipelineRequest( + name="name_value", + ) + + # Make the request + response = await client.get_training_pipeline(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetTrainingPipelineRequest, dict]]): + The request object. Request message for + [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline]. + name (:class:`str`): + Required. The name of the TrainingPipeline resource. + Format: + ``projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.TrainingPipeline: + The TrainingPipeline orchestrates tasks associated with training a Model. It + always executes the training task, and optionally may + also export data from Vertex AI's Dataset which + becomes the training input, + [upload][google.cloud.aiplatform.v1.ModelService.UploadModel] + the Model to Vertex AI, and evaluate the Model. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, pipeline_service.GetTrainingPipelineRequest): + request = pipeline_service.GetTrainingPipelineRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_training_pipeline + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_training_pipelines( + self, + request: Optional[ + Union[pipeline_service.ListTrainingPipelinesRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListTrainingPipelinesAsyncPager: + r"""Lists TrainingPipelines in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_training_pipelines(): + # Create a client + client = aiplatform_v1.PipelineServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListTrainingPipelinesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_training_pipelines(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListTrainingPipelinesRequest, dict]]): + The request object. Request message for + [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]. + parent (:class:`str`): + Required. The resource name of the Location to list the + TrainingPipelines from. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.pipeline_service.pagers.ListTrainingPipelinesAsyncPager: + Response message for + [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines] + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, pipeline_service.ListTrainingPipelinesRequest): + request = pipeline_service.ListTrainingPipelinesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_training_pipelines + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListTrainingPipelinesAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_training_pipeline( + self, + request: Optional[ + Union[pipeline_service.DeleteTrainingPipelineRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a TrainingPipeline. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_training_pipeline(): + # Create a client + client = aiplatform_v1.PipelineServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteTrainingPipelineRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_training_pipeline(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteTrainingPipelineRequest, dict]]): + The request object. Request message for + [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.DeleteTrainingPipeline]. + name (:class:`str`): + Required. The name of the TrainingPipeline resource to + be deleted. Format: + ``projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, pipeline_service.DeleteTrainingPipelineRequest): + request = pipeline_service.DeleteTrainingPipelineRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_training_pipeline + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def cancel_training_pipeline( + self, + request: Optional[ + Union[pipeline_service.CancelTrainingPipelineRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Cancels a TrainingPipeline. Starts asynchronous cancellation on + the TrainingPipeline. The server makes a best effort to cancel + the pipeline, but success is not guaranteed. Clients can use + [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline] + or other methods to check whether the cancellation succeeded or + whether the pipeline completed despite cancellation. On + successful cancellation, the TrainingPipeline is not deleted; + instead it becomes a pipeline with a + [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error] + value with a [google.rpc.Status.code][google.rpc.Status.code] of + 1, corresponding to ``Code.CANCELLED``, and + [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state] + is set to ``CANCELLED``. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_cancel_training_pipeline(): + # Create a client + client = aiplatform_v1.PipelineServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.CancelTrainingPipelineRequest( + name="name_value", + ) + + # Make the request + await client.cancel_training_pipeline(request=request) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CancelTrainingPipelineRequest, dict]]): + The request object. Request message for + [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CancelTrainingPipeline]. + name (:class:`str`): + Required. The name of the TrainingPipeline to cancel. + Format: + ``projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, pipeline_service.CancelTrainingPipelineRequest): + request = pipeline_service.CancelTrainingPipelineRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.cancel_training_pipeline + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def create_pipeline_job( + self, + request: Optional[ + Union[pipeline_service.CreatePipelineJobRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + pipeline_job: Optional[gca_pipeline_job.PipelineJob] = None, + pipeline_job_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_pipeline_job.PipelineJob: + r"""Creates a PipelineJob. A PipelineJob will run + immediately when created. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_create_pipeline_job(): + # Create a client + client = aiplatform_v1.PipelineServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.CreatePipelineJobRequest( + parent="parent_value", + ) + + # Make the request + response = await client.create_pipeline_job(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CreatePipelineJobRequest, dict]]): + The request object. Request message for + [PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1.PipelineService.CreatePipelineJob]. + parent (:class:`str`): + Required. The resource name of the Location to create + the PipelineJob in. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + pipeline_job (:class:`google.cloud.aiplatform_v1.types.PipelineJob`): + Required. The PipelineJob to create. + This corresponds to the ``pipeline_job`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + pipeline_job_id (:class:`str`): + The ID to use for the PipelineJob, which will become the + final component of the PipelineJob name. If not + provided, an ID will be automatically generated. + + This value should be less than 128 characters, and valid + characters are ``/[a-z][0-9]-/``. + + This corresponds to the ``pipeline_job_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.PipelineJob: + An instance of a machine learning + PipelineJob. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, pipeline_job, pipeline_job_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, pipeline_service.CreatePipelineJobRequest): + request = pipeline_service.CreatePipelineJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if pipeline_job is not None: + request.pipeline_job = pipeline_job + if pipeline_job_id is not None: + request.pipeline_job_id = pipeline_job_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.create_pipeline_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_pipeline_job( + self, + request: Optional[Union[pipeline_service.GetPipelineJobRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pipeline_job.PipelineJob: + r"""Gets a PipelineJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_get_pipeline_job(): + # Create a client + client = aiplatform_v1.PipelineServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetPipelineJobRequest( + name="name_value", + ) + + # Make the request + response = await client.get_pipeline_job(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GetPipelineJobRequest, dict]]): + The request object. Request message for + [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob]. + name (:class:`str`): + Required. The name of the PipelineJob resource. Format: + ``projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.PipelineJob: + An instance of a machine learning + PipelineJob. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, pipeline_service.GetPipelineJobRequest): + request = pipeline_service.GetPipelineJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.get_pipeline_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_pipeline_jobs( + self, + request: Optional[Union[pipeline_service.ListPipelineJobsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListPipelineJobsAsyncPager: + r"""Lists PipelineJobs in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_list_pipeline_jobs(): + # Create a client + client = aiplatform_v1.PipelineServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListPipelineJobsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_pipeline_jobs(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ListPipelineJobsRequest, dict]]): + The request object. Request message for + [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]. + parent (:class:`str`): + Required. The resource name of the Location to list the + PipelineJobs from. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.pipeline_service.pagers.ListPipelineJobsAsyncPager: + Response message for + [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs] + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, pipeline_service.ListPipelineJobsRequest): + request = pipeline_service.ListPipelineJobsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.list_pipeline_jobs + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListPipelineJobsAsyncPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_pipeline_job( + self, + request: Optional[ + Union[pipeline_service.DeletePipelineJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a PipelineJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_delete_pipeline_job(): + # Create a client + client = aiplatform_v1.PipelineServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeletePipelineJobRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_pipeline_job(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DeletePipelineJobRequest, dict]]): + The request object. Request message for + [PipelineService.DeletePipelineJob][google.cloud.aiplatform.v1.PipelineService.DeletePipelineJob]. + name (:class:`str`): + Required. The name of the PipelineJob resource to be + deleted. Format: + ``projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, pipeline_service.DeletePipelineJobRequest): + request = pipeline_service.DeletePipelineJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.delete_pipeline_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def batch_delete_pipeline_jobs( + self, + request: Optional[ + Union[pipeline_service.BatchDeletePipelineJobsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + names: Optional[MutableSequence[str]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Batch deletes PipelineJobs + The Operation is atomic. If it fails, none of the + PipelineJobs are deleted. If it succeeds, all of the + PipelineJobs are deleted. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_batch_delete_pipeline_jobs(): + # Create a client + client = aiplatform_v1.PipelineServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.BatchDeletePipelineJobsRequest( + parent="parent_value", + names=['names_value1', 'names_value2'], + ) + + # Make the request + operation = client.batch_delete_pipeline_jobs(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.BatchDeletePipelineJobsRequest, dict]]): + The request object. Request message for + [PipelineService.BatchDeletePipelineJobs][google.cloud.aiplatform.v1.PipelineService.BatchDeletePipelineJobs]. + parent (:class:`str`): + Required. The name of the PipelineJobs' parent resource. + Format: ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + names (:class:`MutableSequence[str]`): + Required. The names of the PipelineJobs to delete. A + maximum of 32 PipelineJobs can be deleted in a batch. + Format: + ``projects/{project}/locations/{location}/pipelineJobs/{pipelineJob}`` + + This corresponds to the ``names`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.BatchDeletePipelineJobsResponse` Response message for + [PipelineService.BatchDeletePipelineJobs][google.cloud.aiplatform.v1.PipelineService.BatchDeletePipelineJobs]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, names] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, pipeline_service.BatchDeletePipelineJobsRequest): + request = pipeline_service.BatchDeletePipelineJobsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if names: + request.names.extend(names) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.batch_delete_pipeline_jobs + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + pipeline_service.BatchDeletePipelineJobsResponse, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + async def cancel_pipeline_job( + self, + request: Optional[ + Union[pipeline_service.CancelPipelineJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Cancels a PipelineJob. Starts asynchronous cancellation on the + PipelineJob. The server makes a best effort to cancel the + pipeline, but success is not guaranteed. Clients can use + [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob] + or other methods to check whether the cancellation succeeded or + whether the pipeline completed despite cancellation. On + successful cancellation, the PipelineJob is not deleted; instead + it becomes a pipeline with a + [PipelineJob.error][google.cloud.aiplatform.v1.PipelineJob.error] + value with a [google.rpc.Status.code][google.rpc.Status.code] of + 1, corresponding to ``Code.CANCELLED``, and + [PipelineJob.state][google.cloud.aiplatform.v1.PipelineJob.state] + is set to ``CANCELLED``. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_cancel_pipeline_job(): + # Create a client + client = aiplatform_v1.PipelineServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.CancelPipelineJobRequest( + name="name_value", + ) + + # Make the request + await client.cancel_pipeline_job(request=request) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.CancelPipelineJobRequest, dict]]): + The request object. Request message for + [PipelineService.CancelPipelineJob][google.cloud.aiplatform.v1.PipelineService.CancelPipelineJob]. + name (:class:`str`): + Required. The name of the PipelineJob to cancel. Format: + ``projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, pipeline_service.CancelPipelineJobRequest): + request = pipeline_service.CancelPipelineJobRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.cancel_pipeline_job + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def batch_cancel_pipeline_jobs( + self, + request: Optional[ + Union[pipeline_service.BatchCancelPipelineJobsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + names: Optional[MutableSequence[str]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operation_async.AsyncOperation: + r"""Batch cancel PipelineJobs. + Firstly the server will check if all the jobs are in + non-terminal states, and skip the jobs that are already + terminated. + If the operation failed, none of the pipeline jobs are + cancelled. The server will poll the states of all the + pipeline jobs periodically to check the cancellation + status. + This operation will return an LRO. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_batch_cancel_pipeline_jobs(): + # Create a client + client = aiplatform_v1.PipelineServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.BatchCancelPipelineJobsRequest( + parent="parent_value", + names=['names_value1', 'names_value2'], + ) + + # Make the request + operation = client.batch_cancel_pipeline_jobs(request=request) + + print("Waiting for operation to complete...") + + response = (await operation).result() + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.BatchCancelPipelineJobsRequest, dict]]): + The request object. Request message for + [PipelineService.BatchCancelPipelineJobs][google.cloud.aiplatform.v1.PipelineService.BatchCancelPipelineJobs]. + parent (:class:`str`): + Required. The name of the PipelineJobs' parent resource. + Format: ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + names (:class:`MutableSequence[str]`): + Required. The names of the PipelineJobs to cancel. A + maximum of 32 PipelineJobs can be cancelled in a batch. + Format: + ``projects/{project}/locations/{location}/pipelineJobs/{pipelineJob}`` + + This corresponds to the ``names`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.BatchCancelPipelineJobsResponse` Response message for + [PipelineService.BatchCancelPipelineJobs][google.cloud.aiplatform.v1.PipelineService.BatchCancelPipelineJobs]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, names] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, pipeline_service.BatchCancelPipelineJobsRequest): + request = pipeline_service.BatchCancelPipelineJobsRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if names: + request.names.extend(names) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.batch_cancel_pipeline_jobs + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + pipeline_service.BatchCancelPipelineJobsResponse, + metadata_type=pipeline_service.BatchCancelPipelineJobsOperationMetadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[ + self._client._transport.test_iam_permissions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self) -> "PipelineServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +__all__ = ("PipelineServiceAsyncClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/pipeline_service/client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/pipeline_service/client.py new file mode 100644 index 0000000000000000000000000000000000000000..627654278ff954d1d4e8ffb50a290c5b25bdad53 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/pipeline_service/client.py @@ -0,0 +1,3260 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from http import HTTPStatus +import json +import logging as std_logging +import os +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Sequence, + Tuple, + Type, + Union, + cast, +) +import warnings + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + +from google.cloud.aiplatform_v1.services.pipeline_service import pagers +from google.cloud.aiplatform_v1.types import encryption_spec +from google.cloud.aiplatform_v1.types import model +from google.cloud.aiplatform_v1.types import operation as gca_operation +from google.cloud.aiplatform_v1.types import pipeline_job +from google.cloud.aiplatform_v1.types import pipeline_job as gca_pipeline_job +from google.cloud.aiplatform_v1.types import pipeline_service +from google.cloud.aiplatform_v1.types import pipeline_state +from google.cloud.aiplatform_v1.types import service_networking +from google.cloud.aiplatform_v1.types import training_pipeline +from google.cloud.aiplatform_v1.types import training_pipeline as gca_training_pipeline +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api_core.operation as gac_operation # type: ignore +import google.api_core.operation_async as operation_async # type: ignore +import google.protobuf.empty_pb2 as empty_pb2 # type: ignore +import google.protobuf.struct_pb2 as struct_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +import google.rpc.status_pb2 as status_pb2 # type: ignore +from .transports.base import PipelineServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import PipelineServiceGrpcTransport +from .transports.grpc_asyncio import PipelineServiceGrpcAsyncIOTransport +from .transports.rest import PipelineServiceRestTransport + +try: + from .transports.rest_asyncio import AsyncPipelineServiceRestTransport + + HAS_ASYNC_REST_DEPENDENCIES = True +except ImportError as e: # pragma: NO COVER + HAS_ASYNC_REST_DEPENDENCIES = False + ASYNC_REST_EXCEPTION = e + + +class PipelineServiceClientMeta(type): + """Metaclass for the PipelineService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + + _transport_registry = ( + OrderedDict() + ) # type: Dict[str, Type[PipelineServiceTransport]] + _transport_registry["grpc"] = PipelineServiceGrpcTransport + _transport_registry["grpc_asyncio"] = PipelineServiceGrpcAsyncIOTransport + _transport_registry["rest"] = PipelineServiceRestTransport + if HAS_ASYNC_REST_DEPENDENCIES: # pragma: NO COVER + _transport_registry["rest_asyncio"] = AsyncPipelineServiceRestTransport + + def get_transport_class( + cls, + label: Optional[str] = None, + ) -> Type[PipelineServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if ( + label == "rest_asyncio" and not HAS_ASYNC_REST_DEPENDENCIES + ): # pragma: NO COVER + raise ASYNC_REST_EXCEPTION + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class PipelineServiceClient(metaclass=PipelineServiceClientMeta): + """A service for creating and managing Vertex AI's pipelines. This + includes both ``TrainingPipeline`` resources (used for AutoML and + custom training) and ``PipelineJob`` resources (used for Vertex AI + Pipelines). + """ + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "aiplatform.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @staticmethod + def _use_client_cert_effective(): + """Returns whether client certificate should be used for mTLS if the + google-auth version supports should_use_client_cert automatic mTLS enablement. + + Alternatively, read from the GOOGLE_API_USE_CLIENT_CERTIFICATE env var. + + Returns: + bool: whether client certificate should be used for mTLS + Raises: + ValueError: (If using a version of google-auth without should_use_client_cert and + GOOGLE_API_USE_CLIENT_CERTIFICATE is set to an unexpected value.) + """ + # check if google-auth version supports should_use_client_cert for automatic mTLS enablement + if hasattr(mtls, "should_use_client_cert"): # pragma: NO COVER + return mtls.should_use_client_cert() + else: # pragma: NO COVER + # if unsupported, fallback to reading from env var + use_client_cert_str = os.getenv( + "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false" + ).lower() + if use_client_cert_str not in ("true", "false"): + raise ValueError( + "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be" + " either `true` or `false`" + ) + return use_client_cert_str == "true" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + PipelineServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + PipelineServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file(filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> PipelineServiceTransport: + """Returns the transport used by the client instance. + + Returns: + PipelineServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def artifact_path( + project: str, + location: str, + metadata_store: str, + artifact: str, + ) -> str: + """Returns a fully-qualified artifact string.""" + return "projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}".format( + project=project, + location=location, + metadata_store=metadata_store, + artifact=artifact, + ) + + @staticmethod + def parse_artifact_path(path: str) -> Dict[str, str]: + """Parses a artifact path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/metadataStores/(?P.+?)/artifacts/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def context_path( + project: str, + location: str, + metadata_store: str, + context: str, + ) -> str: + """Returns a fully-qualified context string.""" + return "projects/{project}/locations/{location}/metadataStores/{metadata_store}/contexts/{context}".format( + project=project, + location=location, + metadata_store=metadata_store, + context=context, + ) + + @staticmethod + def parse_context_path(path: str) -> Dict[str, str]: + """Parses a context path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/metadataStores/(?P.+?)/contexts/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def custom_job_path( + project: str, + location: str, + custom_job: str, + ) -> str: + """Returns a fully-qualified custom_job string.""" + return "projects/{project}/locations/{location}/customJobs/{custom_job}".format( + project=project, + location=location, + custom_job=custom_job, + ) + + @staticmethod + def parse_custom_job_path(path: str) -> Dict[str, str]: + """Parses a custom_job path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/customJobs/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def endpoint_path( + project: str, + location: str, + endpoint: str, + ) -> str: + """Returns a fully-qualified endpoint string.""" + return "projects/{project}/locations/{location}/endpoints/{endpoint}".format( + project=project, + location=location, + endpoint=endpoint, + ) + + @staticmethod + def parse_endpoint_path(path: str) -> Dict[str, str]: + """Parses a endpoint path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/endpoints/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def execution_path( + project: str, + location: str, + metadata_store: str, + execution: str, + ) -> str: + """Returns a fully-qualified execution string.""" + return "projects/{project}/locations/{location}/metadataStores/{metadata_store}/executions/{execution}".format( + project=project, + location=location, + metadata_store=metadata_store, + execution=execution, + ) + + @staticmethod + def parse_execution_path(path: str) -> Dict[str, str]: + """Parses a execution path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/metadataStores/(?P.+?)/executions/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def model_path( + project: str, + location: str, + model: str, + ) -> str: + """Returns a fully-qualified model string.""" + return "projects/{project}/locations/{location}/models/{model}".format( + project=project, + location=location, + model=model, + ) + + @staticmethod + def parse_model_path(path: str) -> Dict[str, str]: + """Parses a model path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/models/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def network_path( + project: str, + network: str, + ) -> str: + """Returns a fully-qualified network string.""" + return "projects/{project}/global/networks/{network}".format( + project=project, + network=network, + ) + + @staticmethod + def parse_network_path(path: str) -> Dict[str, str]: + """Parses a network path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/global/networks/(?P.+?)$", path + ) + return m.groupdict() if m else {} + + @staticmethod + def network_attachment_path( + project: str, + region: str, + networkattachment: str, + ) -> str: + """Returns a fully-qualified network_attachment string.""" + return "projects/{project}/regions/{region}/networkAttachments/{networkattachment}".format( + project=project, + region=region, + networkattachment=networkattachment, + ) + + @staticmethod + def parse_network_attachment_path(path: str) -> Dict[str, str]: + """Parses a network_attachment path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/regions/(?P.+?)/networkAttachments/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def pipeline_job_path( + project: str, + location: str, + pipeline_job: str, + ) -> str: + """Returns a fully-qualified pipeline_job string.""" + return "projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}".format( + project=project, + location=location, + pipeline_job=pipeline_job, + ) + + @staticmethod + def parse_pipeline_job_path(path: str) -> Dict[str, str]: + """Parses a pipeline_job path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/pipelineJobs/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def training_pipeline_path( + project: str, + location: str, + training_pipeline: str, + ) -> str: + """Returns a fully-qualified training_pipeline string.""" + return "projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}".format( + project=project, + location=location, + training_pipeline=training_pipeline, + ) + + @staticmethod + def parse_training_pipeline_path(path: str) -> Dict[str, str]: + """Parses a training_pipeline path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/trainingPipelines/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path( + billing_account: str, + ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format( + billing_account=billing_account, + ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str, str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path( + folder: str, + ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format( + folder=folder, + ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str, str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path( + organization: str, + ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format( + organization=organization, + ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str, str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path( + project: str, + ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format( + project=project, + ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str, str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path( + project: str, + location: str, + ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format( + project=project, + location=location, + ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str, str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[client_options_lib.ClientOptions] = None + ): + """Deprecated. Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + + warnings.warn( + "get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.", + DeprecationWarning, + ) + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = PipelineServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert: + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + @staticmethod + def _read_environment_variables(): + """Returns the environment variables used by the client. + + Returns: + Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE, + GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables. + + Raises: + ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not + any of ["true", "false"]. + google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT + is not any of ["auto", "never", "always"]. + """ + use_client_cert = PipelineServiceClient._use_client_cert_effective() + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower() + universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError( + "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`" + ) + return use_client_cert, use_mtls_endpoint, universe_domain_env + + @staticmethod + def _get_client_cert_source(provided_cert_source, use_cert_flag): + """Return the client cert source to be used by the client. + + Args: + provided_cert_source (bytes): The client certificate source provided. + use_cert_flag (bool): A flag indicating whether to use the client certificate. + + Returns: + bytes or None: The client cert source to be used by the client. + """ + client_cert_source = None + if use_cert_flag: + if provided_cert_source: + client_cert_source = provided_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + return client_cert_source + + @staticmethod + def _get_api_endpoint( + api_override, client_cert_source, universe_domain, use_mtls_endpoint + ): + """Return the API endpoint used by the client. + + Args: + api_override (str): The API endpoint override. If specified, this is always + the return value of this function and the other arguments are not used. + client_cert_source (bytes): The client certificate source used by the client. + universe_domain (str): The universe domain used by the client. + use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters. + Possible values are "always", "auto", or "never". + + Returns: + str: The API endpoint to be used by the client. + """ + if api_override is not None: + api_endpoint = api_override + elif use_mtls_endpoint == "always" or ( + use_mtls_endpoint == "auto" and client_cert_source + ): + _default_universe = PipelineServiceClient._DEFAULT_UNIVERSE + if universe_domain != _default_universe: + raise MutualTLSChannelError( + f"mTLS is not supported in any universe other than {_default_universe}." + ) + api_endpoint = PipelineServiceClient.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = PipelineServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format( + UNIVERSE_DOMAIN=universe_domain + ) + return api_endpoint + + @staticmethod + def _get_universe_domain( + client_universe_domain: Optional[str], universe_domain_env: Optional[str] + ) -> str: + """Return the universe domain used by the client. + + Args: + client_universe_domain (Optional[str]): The universe domain configured via the client options. + universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable. + + Returns: + str: The universe domain to be used by the client. + + Raises: + ValueError: If the universe domain is an empty string. + """ + universe_domain = PipelineServiceClient._DEFAULT_UNIVERSE + if client_universe_domain is not None: + universe_domain = client_universe_domain + elif universe_domain_env is not None: + universe_domain = universe_domain_env + if len(universe_domain.strip()) == 0: + raise ValueError("Universe Domain cannot be an empty string.") + return universe_domain + + def _validate_universe_domain(self): + """Validates client's and credentials' universe domains are consistent. + + Returns: + bool: True iff the configured universe domain is valid. + + Raises: + ValueError: If the configured universe domain is not valid. + """ + + # NOTE (b/349488459): universe validation is disabled until further notice. + return True + + def _add_cred_info_for_auth_errors( + self, error: core_exceptions.GoogleAPICallError + ) -> None: + """Adds credential info string to error details for 401/403/404 errors. + + Args: + error (google.api_core.exceptions.GoogleAPICallError): The error to add the cred info. + """ + if error.code not in [ + HTTPStatus.UNAUTHORIZED, + HTTPStatus.FORBIDDEN, + HTTPStatus.NOT_FOUND, + ]: + return + + cred = self._transport._credentials + + # get_cred_info is only available in google-auth>=2.35.0 + if not hasattr(cred, "get_cred_info"): + return + + # ignore the type check since pypy test fails when get_cred_info + # is not available + cred_info = cred.get_cred_info() # type: ignore + if cred_info and hasattr(error._details, "append"): + error._details.append(json.dumps(cred_info)) + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used by the client instance. + """ + return self._universe_domain + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, PipelineServiceTransport, Callable[..., PipelineServiceTransport] + ] + ] = None, + client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the pipeline service client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,PipelineServiceTransport,Callable[..., PipelineServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the PipelineServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that the ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client_options = client_options + if isinstance(self._client_options, dict): + self._client_options = client_options_lib.from_dict(self._client_options) + if self._client_options is None: + self._client_options = client_options_lib.ClientOptions() + self._client_options = cast( + client_options_lib.ClientOptions, self._client_options + ) + + universe_domain_opt = getattr(self._client_options, "universe_domain", None) + + self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = ( + PipelineServiceClient._read_environment_variables() + ) + self._client_cert_source = PipelineServiceClient._get_client_cert_source( + self._client_options.client_cert_source, self._use_client_cert + ) + self._universe_domain = PipelineServiceClient._get_universe_domain( + universe_domain_opt, self._universe_domain_env + ) + self._api_endpoint = None # updated below, depending on `transport` + + # Initialize the universe domain validation. + self._is_universe_domain_valid = False + + if CLIENT_LOGGING_SUPPORTED: # pragma: NO COVER + # Setup logging. + client_logging.initialize_logging() + + api_key_value = getattr(self._client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError( + "client_options.api_key and credentials are mutually exclusive" + ) + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + transport_provided = isinstance(transport, PipelineServiceTransport) + if transport_provided: + # transport is a PipelineServiceTransport instance. + if credentials or self._client_options.credentials_file or api_key_value: + raise ValueError( + "When providing a transport instance, " + "provide its credentials directly." + ) + if self._client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = cast(PipelineServiceTransport, transport) + self._api_endpoint = self._transport.host + + self._api_endpoint = ( + self._api_endpoint + or PipelineServiceClient._get_api_endpoint( + self._client_options.api_endpoint, + self._client_cert_source, + self._universe_domain, + self._use_mtls_endpoint, + ) + ) + + if not transport_provided: + transport_init: Union[ + Type[PipelineServiceTransport], Callable[..., PipelineServiceTransport] + ] = ( + PipelineServiceClient.get_transport_class(transport) + if isinstance(transport, str) or transport is None + else cast(Callable[..., PipelineServiceTransport], transport) + ) + + if "rest_asyncio" in str(transport_init): + unsupported_params = { + "google.api_core.client_options.ClientOptions.credentials_file": self._client_options.credentials_file, + "google.api_core.client_options.ClientOptions.scopes": self._client_options.scopes, + "google.api_core.client_options.ClientOptions.quota_project_id": self._client_options.quota_project_id, + "google.api_core.client_options.ClientOptions.client_cert_source": self._client_options.client_cert_source, + "google.api_core.client_options.ClientOptions.api_audience": self._client_options.api_audience, + } + provided_unsupported_params = [ + name + for name, value in unsupported_params.items() + if value is not None + ] + if provided_unsupported_params: + raise core_exceptions.AsyncRestUnsupportedParameterError( # type: ignore + f"The following provided parameters are not supported for `transport=rest_asyncio`: {', '.join(provided_unsupported_params)}" + ) + self._transport = transport_init( + credentials=credentials, + host=self._api_endpoint, + client_info=client_info, + ) + return + + import google.auth._default # type: ignore + + if api_key_value and hasattr( + google.auth._default, "get_api_key_credentials" + ): + credentials = google.auth._default.get_api_key_credentials( + api_key_value + ) + + # initialize with the provided callable or the passed in class + self._transport = transport_init( + credentials=credentials, + credentials_file=self._client_options.credentials_file, + host=self._api_endpoint, + scopes=self._client_options.scopes, + client_cert_source_for_mtls=self._client_cert_source, + quota_project_id=self._client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=self._client_options.api_audience, + ) + + if "async" not in str(self._transport): + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.PipelineServiceClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.PipelineService", + "universeDomain": getattr( + self._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._transport._credentials).__module__}.{type(self._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, + "get_cred_info", + lambda: None, + )(), + } + if hasattr(self._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.PipelineService", + "credentialsType": None, + } + ), + ) + + def create_training_pipeline( + self, + request: Optional[ + Union[pipeline_service.CreateTrainingPipelineRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + training_pipeline: Optional[gca_training_pipeline.TrainingPipeline] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_training_pipeline.TrainingPipeline: + r"""Creates a TrainingPipeline. A created + TrainingPipeline right away will be attempted to be run. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_training_pipeline(): + # Create a client + client = aiplatform_v1.PipelineServiceClient() + + # Initialize request argument(s) + training_pipeline = aiplatform_v1.TrainingPipeline() + training_pipeline.display_name = "display_name_value" + training_pipeline.training_task_definition = "training_task_definition_value" + training_pipeline.training_task_inputs.null_value = "NULL_VALUE" + + request = aiplatform_v1.CreateTrainingPipelineRequest( + parent="parent_value", + training_pipeline=training_pipeline, + ) + + # Make the request + response = client.create_training_pipeline(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreateTrainingPipelineRequest, dict]): + The request object. Request message for + [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CreateTrainingPipeline]. + parent (str): + Required. The resource name of the Location to create + the TrainingPipeline in. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + training_pipeline (google.cloud.aiplatform_v1.types.TrainingPipeline): + Required. The TrainingPipeline to + create. + + This corresponds to the ``training_pipeline`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.TrainingPipeline: + The TrainingPipeline orchestrates tasks associated with training a Model. It + always executes the training task, and optionally may + also export data from Vertex AI's Dataset which + becomes the training input, + [upload][google.cloud.aiplatform.v1.ModelService.UploadModel] + the Model to Vertex AI, and evaluate the Model. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, training_pipeline] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, pipeline_service.CreateTrainingPipelineRequest): + request = pipeline_service.CreateTrainingPipelineRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if training_pipeline is not None: + request.training_pipeline = training_pipeline + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_training_pipeline] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def get_training_pipeline( + self, + request: Optional[ + Union[pipeline_service.GetTrainingPipelineRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> training_pipeline.TrainingPipeline: + r"""Gets a TrainingPipeline. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_training_pipeline(): + # Create a client + client = aiplatform_v1.PipelineServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetTrainingPipelineRequest( + name="name_value", + ) + + # Make the request + response = client.get_training_pipeline(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetTrainingPipelineRequest, dict]): + The request object. Request message for + [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline]. + name (str): + Required. The name of the TrainingPipeline resource. + Format: + ``projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.TrainingPipeline: + The TrainingPipeline orchestrates tasks associated with training a Model. It + always executes the training task, and optionally may + also export data from Vertex AI's Dataset which + becomes the training input, + [upload][google.cloud.aiplatform.v1.ModelService.UploadModel] + the Model to Vertex AI, and evaluate the Model. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, pipeline_service.GetTrainingPipelineRequest): + request = pipeline_service.GetTrainingPipelineRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_training_pipeline] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_training_pipelines( + self, + request: Optional[ + Union[pipeline_service.ListTrainingPipelinesRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListTrainingPipelinesPager: + r"""Lists TrainingPipelines in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_training_pipelines(): + # Create a client + client = aiplatform_v1.PipelineServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListTrainingPipelinesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_training_pipelines(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListTrainingPipelinesRequest, dict]): + The request object. Request message for + [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines]. + parent (str): + Required. The resource name of the Location to list the + TrainingPipelines from. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.pipeline_service.pagers.ListTrainingPipelinesPager: + Response message for + [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1.PipelineService.ListTrainingPipelines] + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, pipeline_service.ListTrainingPipelinesRequest): + request = pipeline_service.ListTrainingPipelinesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_training_pipelines] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListTrainingPipelinesPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def delete_training_pipeline( + self, + request: Optional[ + Union[pipeline_service.DeleteTrainingPipelineRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes a TrainingPipeline. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_training_pipeline(): + # Create a client + client = aiplatform_v1.PipelineServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeleteTrainingPipelineRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_training_pipeline(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeleteTrainingPipelineRequest, dict]): + The request object. Request message for + [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.DeleteTrainingPipeline]. + name (str): + Required. The name of the TrainingPipeline resource to + be deleted. Format: + ``projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, pipeline_service.DeleteTrainingPipelineRequest): + request = pipeline_service.DeleteTrainingPipelineRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_training_pipeline] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def cancel_training_pipeline( + self, + request: Optional[ + Union[pipeline_service.CancelTrainingPipelineRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Cancels a TrainingPipeline. Starts asynchronous cancellation on + the TrainingPipeline. The server makes a best effort to cancel + the pipeline, but success is not guaranteed. Clients can use + [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline] + or other methods to check whether the cancellation succeeded or + whether the pipeline completed despite cancellation. On + successful cancellation, the TrainingPipeline is not deleted; + instead it becomes a pipeline with a + [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error] + value with a [google.rpc.Status.code][google.rpc.Status.code] of + 1, corresponding to ``Code.CANCELLED``, and + [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state] + is set to ``CANCELLED``. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_cancel_training_pipeline(): + # Create a client + client = aiplatform_v1.PipelineServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.CancelTrainingPipelineRequest( + name="name_value", + ) + + # Make the request + client.cancel_training_pipeline(request=request) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CancelTrainingPipelineRequest, dict]): + The request object. Request message for + [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.CancelTrainingPipeline]. + name (str): + Required. The name of the TrainingPipeline to cancel. + Format: + ``projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, pipeline_service.CancelTrainingPipelineRequest): + request = pipeline_service.CancelTrainingPipelineRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_training_pipeline] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def create_pipeline_job( + self, + request: Optional[ + Union[pipeline_service.CreatePipelineJobRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + pipeline_job: Optional[gca_pipeline_job.PipelineJob] = None, + pipeline_job_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gca_pipeline_job.PipelineJob: + r"""Creates a PipelineJob. A PipelineJob will run + immediately when created. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_create_pipeline_job(): + # Create a client + client = aiplatform_v1.PipelineServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.CreatePipelineJobRequest( + parent="parent_value", + ) + + # Make the request + response = client.create_pipeline_job(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CreatePipelineJobRequest, dict]): + The request object. Request message for + [PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1.PipelineService.CreatePipelineJob]. + parent (str): + Required. The resource name of the Location to create + the PipelineJob in. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + pipeline_job (google.cloud.aiplatform_v1.types.PipelineJob): + Required. The PipelineJob to create. + This corresponds to the ``pipeline_job`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + pipeline_job_id (str): + The ID to use for the PipelineJob, which will become the + final component of the PipelineJob name. If not + provided, an ID will be automatically generated. + + This value should be less than 128 characters, and valid + characters are ``/[a-z][0-9]-/``. + + This corresponds to the ``pipeline_job_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.PipelineJob: + An instance of a machine learning + PipelineJob. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, pipeline_job, pipeline_job_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, pipeline_service.CreatePipelineJobRequest): + request = pipeline_service.CreatePipelineJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if pipeline_job is not None: + request.pipeline_job = pipeline_job + if pipeline_job_id is not None: + request.pipeline_job_id = pipeline_job_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_pipeline_job] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def get_pipeline_job( + self, + request: Optional[Union[pipeline_service.GetPipelineJobRequest, dict]] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pipeline_job.PipelineJob: + r"""Gets a PipelineJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_get_pipeline_job(): + # Create a client + client = aiplatform_v1.PipelineServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.GetPipelineJobRequest( + name="name_value", + ) + + # Make the request + response = client.get_pipeline_job(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.GetPipelineJobRequest, dict]): + The request object. Request message for + [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob]. + name (str): + Required. The name of the PipelineJob resource. Format: + ``projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.PipelineJob: + An instance of a machine learning + PipelineJob. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, pipeline_service.GetPipelineJobRequest): + request = pipeline_service.GetPipelineJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_pipeline_job] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def list_pipeline_jobs( + self, + request: Optional[Union[pipeline_service.ListPipelineJobsRequest, dict]] = None, + *, + parent: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> pagers.ListPipelineJobsPager: + r"""Lists PipelineJobs in a Location. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_list_pipeline_jobs(): + # Create a client + client = aiplatform_v1.PipelineServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.ListPipelineJobsRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_pipeline_jobs(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.ListPipelineJobsRequest, dict]): + The request object. Request message for + [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs]. + parent (str): + Required. The resource name of the Location to list the + PipelineJobs from. Format: + ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.services.pipeline_service.pagers.ListPipelineJobsPager: + Response message for + [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1.PipelineService.ListPipelineJobs] + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, pipeline_service.ListPipelineJobsRequest): + request = pipeline_service.ListPipelineJobsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_pipeline_jobs] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListPipelineJobsPager( + method=rpc, + request=request, + response=response, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def delete_pipeline_job( + self, + request: Optional[ + Union[pipeline_service.DeletePipelineJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Deletes a PipelineJob. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_delete_pipeline_job(): + # Create a client + client = aiplatform_v1.PipelineServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.DeletePipelineJobRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_pipeline_job(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.DeletePipelineJobRequest, dict]): + The request object. Request message for + [PipelineService.DeletePipelineJob][google.cloud.aiplatform.v1.PipelineService.DeletePipelineJob]. + name (str): + Required. The name of the PipelineJob resource to be + deleted. Format: + ``projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, pipeline_service.DeletePipelineJobRequest): + request = pipeline_service.DeletePipelineJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_pipeline_job] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def batch_delete_pipeline_jobs( + self, + request: Optional[ + Union[pipeline_service.BatchDeletePipelineJobsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + names: Optional[MutableSequence[str]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Batch deletes PipelineJobs + The Operation is atomic. If it fails, none of the + PipelineJobs are deleted. If it succeeds, all of the + PipelineJobs are deleted. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_batch_delete_pipeline_jobs(): + # Create a client + client = aiplatform_v1.PipelineServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.BatchDeletePipelineJobsRequest( + parent="parent_value", + names=['names_value1', 'names_value2'], + ) + + # Make the request + operation = client.batch_delete_pipeline_jobs(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.BatchDeletePipelineJobsRequest, dict]): + The request object. Request message for + [PipelineService.BatchDeletePipelineJobs][google.cloud.aiplatform.v1.PipelineService.BatchDeletePipelineJobs]. + parent (str): + Required. The name of the PipelineJobs' parent resource. + Format: ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + names (MutableSequence[str]): + Required. The names of the PipelineJobs to delete. A + maximum of 32 PipelineJobs can be deleted in a batch. + Format: + ``projects/{project}/locations/{location}/pipelineJobs/{pipelineJob}`` + + This corresponds to the ``names`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.BatchDeletePipelineJobsResponse` Response message for + [PipelineService.BatchDeletePipelineJobs][google.cloud.aiplatform.v1.PipelineService.BatchDeletePipelineJobs]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, names] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, pipeline_service.BatchDeletePipelineJobsRequest): + request = pipeline_service.BatchDeletePipelineJobsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if names is not None: + request.names = names + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.batch_delete_pipeline_jobs + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + pipeline_service.BatchDeletePipelineJobsResponse, + metadata_type=gca_operation.DeleteOperationMetadata, + ) + + # Done; return the response. + return response + + def cancel_pipeline_job( + self, + request: Optional[ + Union[pipeline_service.CancelPipelineJobRequest, dict] + ] = None, + *, + name: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Cancels a PipelineJob. Starts asynchronous cancellation on the + PipelineJob. The server makes a best effort to cancel the + pipeline, but success is not guaranteed. Clients can use + [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob] + or other methods to check whether the cancellation succeeded or + whether the pipeline completed despite cancellation. On + successful cancellation, the PipelineJob is not deleted; instead + it becomes a pipeline with a + [PipelineJob.error][google.cloud.aiplatform.v1.PipelineJob.error] + value with a [google.rpc.Status.code][google.rpc.Status.code] of + 1, corresponding to ``Code.CANCELLED``, and + [PipelineJob.state][google.cloud.aiplatform.v1.PipelineJob.state] + is set to ``CANCELLED``. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_cancel_pipeline_job(): + # Create a client + client = aiplatform_v1.PipelineServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.CancelPipelineJobRequest( + name="name_value", + ) + + # Make the request + client.cancel_pipeline_job(request=request) + + Args: + request (Union[google.cloud.aiplatform_v1.types.CancelPipelineJobRequest, dict]): + The request object. Request message for + [PipelineService.CancelPipelineJob][google.cloud.aiplatform.v1.PipelineService.CancelPipelineJob]. + name (str): + Required. The name of the PipelineJob to cancel. Format: + ``projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`` + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [name] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, pipeline_service.CancelPipelineJobRequest): + request = pipeline_service.CancelPipelineJobRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_pipeline_job] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def batch_cancel_pipeline_jobs( + self, + request: Optional[ + Union[pipeline_service.BatchCancelPipelineJobsRequest, dict] + ] = None, + *, + parent: Optional[str] = None, + names: Optional[MutableSequence[str]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> gac_operation.Operation: + r"""Batch cancel PipelineJobs. + Firstly the server will check if all the jobs are in + non-terminal states, and skip the jobs that are already + terminated. + If the operation failed, none of the pipeline jobs are + cancelled. The server will poll the states of all the + pipeline jobs periodically to check the cancellation + status. + This operation will return an LRO. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + def sample_batch_cancel_pipeline_jobs(): + # Create a client + client = aiplatform_v1.PipelineServiceClient() + + # Initialize request argument(s) + request = aiplatform_v1.BatchCancelPipelineJobsRequest( + parent="parent_value", + names=['names_value1', 'names_value2'], + ) + + # Make the request + operation = client.batch_cancel_pipeline_jobs(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.aiplatform_v1.types.BatchCancelPipelineJobsRequest, dict]): + The request object. Request message for + [PipelineService.BatchCancelPipelineJobs][google.cloud.aiplatform.v1.PipelineService.BatchCancelPipelineJobs]. + parent (str): + Required. The name of the PipelineJobs' parent resource. + Format: ``projects/{project}/locations/{location}`` + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + names (MutableSequence[str]): + Required. The names of the PipelineJobs to cancel. A + maximum of 32 PipelineJobs can be cancelled in a batch. + Format: + ``projects/{project}/locations/{location}/pipelineJobs/{pipelineJob}`` + + This corresponds to the ``names`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.BatchCancelPipelineJobsResponse` Response message for + [PipelineService.BatchCancelPipelineJobs][google.cloud.aiplatform.v1.PipelineService.BatchCancelPipelineJobs]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [parent, names] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, pipeline_service.BatchCancelPipelineJobsRequest): + request = pipeline_service.BatchCancelPipelineJobsRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if names is not None: + request.names = names + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[ + self._transport.batch_cancel_pipeline_jobs + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = gac_operation.from_gapic( + response, + self._transport.operations_client, + pipeline_service.BatchCancelPipelineJobsResponse, + metadata_type=pipeline_service.BatchCancelPipelineJobsOperationMetadata, + ) + + # Done; return the response. + return response + + def __enter__(self) -> "PipelineServiceClient": + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + # Send the request. + rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry.Retry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._validate_universe_domain() + + try: + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + except core_exceptions.GoogleAPICallError as e: + self._add_cred_info_for_auth_errors(e) + raise e + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + +__all__ = ("PipelineServiceClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/pipeline_service/pagers.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/pipeline_service/pagers.py new file mode 100644 index 0000000000000000000000000000000000000000..7e95e05112c900b3b3bb910a6127eacc6c822ff8 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/pipeline_service/pagers.py @@ -0,0 +1,358 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import retry_async as retries_async +from typing import ( + Any, + AsyncIterator, + Awaitable, + Callable, + Sequence, + Tuple, + Optional, + Iterator, + Union, +) + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] + OptionalAsyncRetry = Union[ + retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None + ] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.types import pipeline_job +from google.cloud.aiplatform_v1.types import pipeline_service +from google.cloud.aiplatform_v1.types import training_pipeline + + +class ListTrainingPipelinesPager: + """A pager for iterating through ``list_training_pipelines`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListTrainingPipelinesResponse` object, and + provides an ``__iter__`` method to iterate through its + ``training_pipelines`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListTrainingPipelines`` requests and continue to iterate + through the ``training_pipelines`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListTrainingPipelinesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., pipeline_service.ListTrainingPipelinesResponse], + request: pipeline_service.ListTrainingPipelinesRequest, + response: pipeline_service.ListTrainingPipelinesResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListTrainingPipelinesRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListTrainingPipelinesResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = pipeline_service.ListTrainingPipelinesRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[pipeline_service.ListTrainingPipelinesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[training_pipeline.TrainingPipeline]: + for page in self.pages: + yield from page.training_pipelines + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListTrainingPipelinesAsyncPager: + """A pager for iterating through ``list_training_pipelines`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListTrainingPipelinesResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``training_pipelines`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListTrainingPipelines`` requests and continue to iterate + through the ``training_pipelines`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListTrainingPipelinesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[ + ..., Awaitable[pipeline_service.ListTrainingPipelinesResponse] + ], + request: pipeline_service.ListTrainingPipelinesRequest, + response: pipeline_service.ListTrainingPipelinesResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListTrainingPipelinesRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListTrainingPipelinesResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = pipeline_service.ListTrainingPipelinesRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages( + self, + ) -> AsyncIterator[pipeline_service.ListTrainingPipelinesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[training_pipeline.TrainingPipeline]: + async def async_generator(): + async for page in self.pages: + for response in page.training_pipelines: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListPipelineJobsPager: + """A pager for iterating through ``list_pipeline_jobs`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListPipelineJobsResponse` object, and + provides an ``__iter__`` method to iterate through its + ``pipeline_jobs`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListPipelineJobs`` requests and continue to iterate + through the ``pipeline_jobs`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListPipelineJobsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., pipeline_service.ListPipelineJobsResponse], + request: pipeline_service.ListPipelineJobsRequest, + response: pipeline_service.ListPipelineJobsResponse, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListPipelineJobsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListPipelineJobsResponse): + The initial response object. + retry (google.api_core.retry.Retry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = pipeline_service.ListPipelineJobsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[pipeline_service.ListPipelineJobsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __iter__(self) -> Iterator[pipeline_job.PipelineJob]: + for page in self.pages: + yield from page.pipeline_jobs + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) + + +class ListPipelineJobsAsyncPager: + """A pager for iterating through ``list_pipeline_jobs`` requests. + + This class thinly wraps an initial + :class:`google.cloud.aiplatform_v1.types.ListPipelineJobsResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``pipeline_jobs`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListPipelineJobs`` requests and continue to iterate + through the ``pipeline_jobs`` field on the + corresponding responses. + + All the usual :class:`google.cloud.aiplatform_v1.types.ListPipelineJobsResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + + def __init__( + self, + method: Callable[..., Awaitable[pipeline_service.ListPipelineJobsResponse]], + request: pipeline_service.ListPipelineJobsRequest, + response: pipeline_service.ListPipelineJobsResponse, + *, + retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = () + ): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.aiplatform_v1.types.ListPipelineJobsRequest): + The initial request object. + response (google.cloud.aiplatform_v1.types.ListPipelineJobsResponse): + The initial response object. + retry (google.api_core.retry.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + """ + self._method = method + self._request = pipeline_service.ListPipelineJobsRequest(request) + self._response = response + self._retry = retry + self._timeout = timeout + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[pipeline_service.ListPipelineJobsResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method( + self._request, + retry=self._retry, + timeout=self._timeout, + metadata=self._metadata, + ) + yield self._response + + def __aiter__(self) -> AsyncIterator[pipeline_job.PipelineJob]: + async def async_generator(): + async for page in self.pages: + for response in page.pipeline_jobs: + yield response + + return async_generator() + + def __repr__(self) -> str: + return "{0}<{1!r}>".format(self.__class__.__name__, self._response) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/prediction_service/__init__.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/prediction_service/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..4d2d0a66bb45a716d892c73bf7741d27c2cd4f9d --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/prediction_service/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import PredictionServiceClient +from .async_client import PredictionServiceAsyncClient + +__all__ = ( + "PredictionServiceClient", + "PredictionServiceAsyncClient", +) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/prediction_service/__pycache__/__init__.cpython-311.pyc b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/prediction_service/__pycache__/__init__.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..d90dd1d6042e6cd19cc4dd5c34ebc75c4ead812b Binary files /dev/null and b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/prediction_service/__pycache__/__init__.cpython-311.pyc differ diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/prediction_service/async_client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/prediction_service/async_client.py new file mode 100644 index 0000000000000000000000000000000000000000..6d84abe2c280e258fe1ab1b4f394f10b1007a262 --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/prediction_service/async_client.py @@ -0,0 +1,2775 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import logging as std_logging +from collections import OrderedDict +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + AsyncIterable, + Awaitable, + AsyncIterator, + Sequence, + Tuple, + Type, + Union, +) + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry_async as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + + +try: + OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore + +from google.cloud.aiplatform_v1.types import content +from google.cloud.aiplatform_v1.types import content as gca_content +from google.cloud.aiplatform_v1.types import explanation +from google.cloud.aiplatform_v1.types import prediction_service +from google.cloud.aiplatform_v1.types import types +from google.cloud.aiplatform_v1.types import usage_metadata +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api.httpbody_pb2 as httpbody_pb2 # type: ignore +import google.protobuf.any_pb2 as any_pb2 # type: ignore +import google.protobuf.struct_pb2 as struct_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +from .transports.base import PredictionServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import PredictionServiceGrpcAsyncIOTransport +from .client import PredictionServiceClient + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + + +class PredictionServiceAsyncClient: + """A service for online predictions and explanations.""" + + _client: PredictionServiceClient + + # Copy defaults from the synchronous client for use here. + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = PredictionServiceClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = PredictionServiceClient.DEFAULT_MTLS_ENDPOINT + _DEFAULT_ENDPOINT_TEMPLATE = PredictionServiceClient._DEFAULT_ENDPOINT_TEMPLATE + _DEFAULT_UNIVERSE = PredictionServiceClient._DEFAULT_UNIVERSE + + cached_content_path = staticmethod(PredictionServiceClient.cached_content_path) + parse_cached_content_path = staticmethod( + PredictionServiceClient.parse_cached_content_path + ) + endpoint_path = staticmethod(PredictionServiceClient.endpoint_path) + parse_endpoint_path = staticmethod(PredictionServiceClient.parse_endpoint_path) + model_path = staticmethod(PredictionServiceClient.model_path) + parse_model_path = staticmethod(PredictionServiceClient.parse_model_path) + rag_corpus_path = staticmethod(PredictionServiceClient.rag_corpus_path) + parse_rag_corpus_path = staticmethod(PredictionServiceClient.parse_rag_corpus_path) + template_path = staticmethod(PredictionServiceClient.template_path) + parse_template_path = staticmethod(PredictionServiceClient.parse_template_path) + common_billing_account_path = staticmethod( + PredictionServiceClient.common_billing_account_path + ) + parse_common_billing_account_path = staticmethod( + PredictionServiceClient.parse_common_billing_account_path + ) + common_folder_path = staticmethod(PredictionServiceClient.common_folder_path) + parse_common_folder_path = staticmethod( + PredictionServiceClient.parse_common_folder_path + ) + common_organization_path = staticmethod( + PredictionServiceClient.common_organization_path + ) + parse_common_organization_path = staticmethod( + PredictionServiceClient.parse_common_organization_path + ) + common_project_path = staticmethod(PredictionServiceClient.common_project_path) + parse_common_project_path = staticmethod( + PredictionServiceClient.parse_common_project_path + ) + common_location_path = staticmethod(PredictionServiceClient.common_location_path) + parse_common_location_path = staticmethod( + PredictionServiceClient.parse_common_location_path + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + PredictionServiceAsyncClient: The constructed client. + """ + sa_info_func = ( + PredictionServiceClient.from_service_account_info.__func__ # type: ignore + ) + return sa_info_func(PredictionServiceAsyncClient, info, *args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + PredictionServiceAsyncClient: The constructed client. + """ + sa_file_func = ( + PredictionServiceClient.from_service_account_file.__func__ # type: ignore + ) + return sa_file_func(PredictionServiceAsyncClient, filename, *args, **kwargs) + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source( + cls, client_options: Optional[ClientOptions] = None + ): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variable is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return PredictionServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> PredictionServiceTransport: + """Returns the transport used by the client instance. + + Returns: + PredictionServiceTransport: The transport used by the client instance. + """ + return self._client.transport + + @property + def api_endpoint(self): + """Return the API endpoint used by the client instance. + + Returns: + str: The API endpoint used by the client instance. + """ + return self._client._api_endpoint + + @property + def universe_domain(self) -> str: + """Return the universe domain used by the client instance. + + Returns: + str: The universe domain used + by the client instance. + """ + return self._client._universe_domain + + get_transport_class = PredictionServiceClient.get_transport_class + + def __init__( + self, + *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Optional[ + Union[ + str, + PredictionServiceTransport, + Callable[..., PredictionServiceTransport], + ] + ] = "grpc_asyncio", + client_options: Optional[ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the prediction service async client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Optional[Union[str,PredictionServiceTransport,Callable[..., PredictionServiceTransport]]]): + The transport to use, or a Callable that constructs and returns a new transport to use. + If a Callable is given, it will be called with the same set of initialization + arguments as used in the PredictionServiceTransport constructor. + If set to None, a transport is chosen automatically. + client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): + Custom options for the client. + + 1. The ``api_endpoint`` property can be used to override the + default endpoint provided by the client when ``transport`` is + not explicitly provided. Only if this property is not set and + ``transport`` was not explicitly provided, the endpoint is + determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment + variable, which have one of the following values: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto-switch to the + default mTLS endpoint if client certificate is present; this is + the default value). + + 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide a client certificate for mTLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + 3. The ``universe_domain`` property can be used to override the + default "googleapis.com" universe. Note that ``api_endpoint`` + property still takes precedence; and ``universe_domain`` is + currently not supported for mTLS. + + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = PredictionServiceClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + ) + + if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( + std_logging.DEBUG + ): # pragma: NO COVER + _LOGGER.debug( + "Created client `google.cloud.aiplatform_v1.PredictionServiceAsyncClient`.", + extra=( + { + "serviceName": "google.cloud.aiplatform.v1.PredictionService", + "universeDomain": getattr( + self._client._transport._credentials, "universe_domain", "" + ), + "credentialsType": f"{type(self._client._transport._credentials).__module__}.{type(self._client._transport._credentials).__qualname__}", + "credentialsInfo": getattr( + self.transport._credentials, "get_cred_info", lambda: None + )(), + } + if hasattr(self._client._transport, "_credentials") + else { + "serviceName": "google.cloud.aiplatform.v1.PredictionService", + "credentialsType": None, + } + ), + ) + + async def predict( + self, + request: Optional[Union[prediction_service.PredictRequest, dict]] = None, + *, + endpoint: Optional[str] = None, + instances: Optional[MutableSequence[struct_pb2.Value]] = None, + parameters: Optional[struct_pb2.Value] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> prediction_service.PredictResponse: + r"""Perform an online prediction. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_predict(): + # Create a client + client = aiplatform_v1.PredictionServiceAsyncClient() + + # Initialize request argument(s) + instances = aiplatform_v1.Value() + instances.null_value = "NULL_VALUE" + + request = aiplatform_v1.PredictRequest( + endpoint="endpoint_value", + instances=instances, + ) + + # Make the request + response = await client.predict(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.PredictRequest, dict]]): + The request object. Request message for + [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]. + endpoint (:class:`str`): + Required. The name of the Endpoint requested to serve + the prediction. Format: + ``projects/{project}/locations/{location}/endpoints/{endpoint}`` + + This corresponds to the ``endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + instances (:class:`MutableSequence[google.protobuf.struct_pb2.Value]`): + Required. The instances that are the input to the + prediction call. A DeployedModel may have an upper limit + on the number of instances it supports per request, and + when it is exceeded the prediction call errors in case + of AutoML Models, or, in case of customer created + Models, the behaviour is as documented by that Model. + The schema of any single instance may be specified via + Endpoint's DeployedModels' + [Model's][google.cloud.aiplatform.v1.DeployedModel.model] + [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata] + [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]. + + This corresponds to the ``instances`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + parameters (:class:`google.protobuf.struct_pb2.Value`): + The parameters that govern the prediction. The schema of + the parameters may be specified via Endpoint's + DeployedModels' [Model's + ][google.cloud.aiplatform.v1.DeployedModel.model] + [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata] + [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]. + + This corresponds to the ``parameters`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.PredictResponse: + Response message for + [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [endpoint, instances, parameters] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, prediction_service.PredictRequest): + request = prediction_service.PredictRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if endpoint is not None: + request.endpoint = endpoint + if parameters is not None: + request.parameters = parameters + if instances: + request.instances.extend(instances) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[self._client._transport.predict] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("endpoint", request.endpoint),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def raw_predict( + self, + request: Optional[Union[prediction_service.RawPredictRequest, dict]] = None, + *, + endpoint: Optional[str] = None, + http_body: Optional[httpbody_pb2.HttpBody] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> httpbody_pb2.HttpBody: + r"""Perform an online prediction with an arbitrary HTTP payload. + + The response includes the following HTTP headers: + + - ``X-Vertex-AI-Endpoint-Id``: ID of the + [Endpoint][google.cloud.aiplatform.v1.Endpoint] that served + this prediction. + + - ``X-Vertex-AI-Deployed-Model-Id``: ID of the Endpoint's + [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] that + served this prediction. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_raw_predict(): + # Create a client + client = aiplatform_v1.PredictionServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.RawPredictRequest( + endpoint="endpoint_value", + ) + + # Make the request + response = await client.raw_predict(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.RawPredictRequest, dict]]): + The request object. Request message for + [PredictionService.RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict]. + endpoint (:class:`str`): + Required. The name of the Endpoint requested to serve + the prediction. Format: + ``projects/{project}/locations/{location}/endpoints/{endpoint}`` + + This corresponds to the ``endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + http_body (:class:`google.api.httpbody_pb2.HttpBody`): + The prediction input. Supports HTTP headers and + arbitrary data payload. + + A + [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] + may have an upper limit on the number of instances it + supports per request. When this limit it is exceeded for + an AutoML model, the + [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict] + method returns an error. When this limit is exceeded for + a custom-trained model, the behavior varies depending on + the model. + + You can specify the schema for each instance in the + [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] + field when you create a + [Model][google.cloud.aiplatform.v1.Model]. This schema + applies when you deploy the ``Model`` as a + ``DeployedModel`` to an + [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use + the ``RawPredict`` method. + + This corresponds to the ``http_body`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.api.httpbody_pb2.HttpBody: + Message that represents an arbitrary HTTP body. It should only be used for + payload formats that can't be represented as JSON, + such as raw binary or an HTML page. + + This message can be used both in streaming and + non-streaming API methods in the request as well as + the response. + + It can be used as a top-level request field, which is + convenient if one wants to extract parameters from + either the URL or HTTP template into the request + fields and also want access to the raw HTTP body. + + Example: + + message GetResourceRequest { + // A unique request id. string request_id = 1; + + // The raw HTTP body is bound to this field. + google.api.HttpBody http_body = 2; + + } + + service ResourceService { + rpc GetResource(GetResourceRequest) + returns (google.api.HttpBody); + + rpc UpdateResource(google.api.HttpBody) + returns (google.protobuf.Empty); + + } + + Example with streaming methods: + + service CaldavService { + rpc GetCalendar(stream google.api.HttpBody) + returns (stream google.api.HttpBody); + + rpc UpdateCalendar(stream google.api.HttpBody) + returns (stream google.api.HttpBody); + + } + + Use of this type only changes how the request and + response bodies are handled, all other features will + continue to work unchanged. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [endpoint, http_body] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, prediction_service.RawPredictRequest): + request = prediction_service.RawPredictRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if endpoint is not None: + request.endpoint = endpoint + if http_body is not None: + request.http_body = http_body + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.raw_predict + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("endpoint", request.endpoint),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def stream_raw_predict( + self, + request: Optional[ + Union[prediction_service.StreamRawPredictRequest, dict] + ] = None, + *, + endpoint: Optional[str] = None, + http_body: Optional[httpbody_pb2.HttpBody] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> Awaitable[AsyncIterable[httpbody_pb2.HttpBody]]: + r"""Perform a streaming online prediction with an + arbitrary HTTP payload. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_stream_raw_predict(): + # Create a client + client = aiplatform_v1.PredictionServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.StreamRawPredictRequest( + endpoint="endpoint_value", + ) + + # Make the request + stream = await client.stream_raw_predict(request=request) + + # Handle the response + async for response in stream: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.StreamRawPredictRequest, dict]]): + The request object. Request message for + [PredictionService.StreamRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamRawPredict]. + endpoint (:class:`str`): + Required. The name of the Endpoint requested to serve + the prediction. Format: + ``projects/{project}/locations/{location}/endpoints/{endpoint}`` + + This corresponds to the ``endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + http_body (:class:`google.api.httpbody_pb2.HttpBody`): + The prediction input. Supports HTTP + headers and arbitrary data payload. + + This corresponds to the ``http_body`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + AsyncIterable[google.api.httpbody_pb2.HttpBody]: + Message that represents an arbitrary HTTP body. It should only be used for + payload formats that can't be represented as JSON, + such as raw binary or an HTML page. + + This message can be used both in streaming and + non-streaming API methods in the request as well as + the response. + + It can be used as a top-level request field, which is + convenient if one wants to extract parameters from + either the URL or HTTP template into the request + fields and also want access to the raw HTTP body. + + Example: + + message GetResourceRequest { + // A unique request id. string request_id = 1; + + // The raw HTTP body is bound to this field. + google.api.HttpBody http_body = 2; + + } + + service ResourceService { + rpc GetResource(GetResourceRequest) + returns (google.api.HttpBody); + + rpc UpdateResource(google.api.HttpBody) + returns (google.protobuf.Empty); + + } + + Example with streaming methods: + + service CaldavService { + rpc GetCalendar(stream google.api.HttpBody) + returns (stream google.api.HttpBody); + + rpc UpdateCalendar(stream google.api.HttpBody) + returns (stream google.api.HttpBody); + + } + + Use of this type only changes how the request and + response bodies are handled, all other features will + continue to work unchanged. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [endpoint, http_body] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, prediction_service.StreamRawPredictRequest): + request = prediction_service.StreamRawPredictRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if endpoint is not None: + request.endpoint = endpoint + if http_body is not None: + request.http_body = http_body + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.stream_raw_predict + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("endpoint", request.endpoint),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def direct_predict( + self, + request: Optional[Union[prediction_service.DirectPredictRequest, dict]] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> prediction_service.DirectPredictResponse: + r"""Perform an unary online prediction request to a gRPC + model server for Vertex first-party products and + frameworks. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_direct_predict(): + # Create a client + client = aiplatform_v1.PredictionServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DirectPredictRequest( + endpoint="endpoint_value", + ) + + # Make the request + response = await client.direct_predict(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DirectPredictRequest, dict]]): + The request object. Request message for + [PredictionService.DirectPredict][google.cloud.aiplatform.v1.PredictionService.DirectPredict]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.DirectPredictResponse: + Response message for + [PredictionService.DirectPredict][google.cloud.aiplatform.v1.PredictionService.DirectPredict]. + + """ + # Create or coerce a protobuf request object. + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, prediction_service.DirectPredictRequest): + request = prediction_service.DirectPredictRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.direct_predict + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("endpoint", request.endpoint),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def direct_raw_predict( + self, + request: Optional[ + Union[prediction_service.DirectRawPredictRequest, dict] + ] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> prediction_service.DirectRawPredictResponse: + r"""Perform an unary online prediction request to a gRPC + model server for custom containers. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_direct_raw_predict(): + # Create a client + client = aiplatform_v1.PredictionServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.DirectRawPredictRequest( + endpoint="endpoint_value", + ) + + # Make the request + response = await client.direct_raw_predict(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.DirectRawPredictRequest, dict]]): + The request object. Request message for + [PredictionService.DirectRawPredict][google.cloud.aiplatform.v1.PredictionService.DirectRawPredict]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.DirectRawPredictResponse: + Response message for + [PredictionService.DirectRawPredict][google.cloud.aiplatform.v1.PredictionService.DirectRawPredict]. + + """ + # Create or coerce a protobuf request object. + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, prediction_service.DirectRawPredictRequest): + request = prediction_service.DirectRawPredictRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.direct_raw_predict + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("endpoint", request.endpoint),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def stream_direct_predict( + self, + requests: Optional[ + AsyncIterator[prediction_service.StreamDirectPredictRequest] + ] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> Awaitable[AsyncIterable[prediction_service.StreamDirectPredictResponse]]: + r"""Perform a streaming online prediction request to a + gRPC model server for Vertex first-party products and + frameworks. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_stream_direct_predict(): + # Create a client + client = aiplatform_v1.PredictionServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.StreamDirectPredictRequest( + endpoint="endpoint_value", + ) + + # This method expects an iterator which contains + # 'aiplatform_v1.StreamDirectPredictRequest' objects + # Here we create a generator that yields a single `request` for + # demonstrative purposes. + requests = [request] + + def request_generator(): + for request in requests: + yield request + + # Make the request + stream = await client.stream_direct_predict(requests=request_generator()) + + # Handle the response + async for response in stream: + print(response) + + Args: + requests (AsyncIterator[`google.cloud.aiplatform_v1.types.StreamDirectPredictRequest`]): + The request object AsyncIterator. Request message for + [PredictionService.StreamDirectPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectPredict]. + + The first message must contain + [endpoint][google.cloud.aiplatform.v1.StreamDirectPredictRequest.endpoint] + field and optionally [input][]. The subsequent messages + must contain [input][]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + AsyncIterable[google.cloud.aiplatform_v1.types.StreamDirectPredictResponse]: + Response message for + [PredictionService.StreamDirectPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectPredict]. + + """ + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.stream_direct_predict + ] + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = rpc( + requests, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def stream_direct_raw_predict( + self, + requests: Optional[ + AsyncIterator[prediction_service.StreamDirectRawPredictRequest] + ] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> Awaitable[AsyncIterable[prediction_service.StreamDirectRawPredictResponse]]: + r"""Perform a streaming online prediction request to a + gRPC model server for custom containers. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_stream_direct_raw_predict(): + # Create a client + client = aiplatform_v1.PredictionServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.StreamDirectRawPredictRequest( + endpoint="endpoint_value", + ) + + # This method expects an iterator which contains + # 'aiplatform_v1.StreamDirectRawPredictRequest' objects + # Here we create a generator that yields a single `request` for + # demonstrative purposes. + requests = [request] + + def request_generator(): + for request in requests: + yield request + + # Make the request + stream = await client.stream_direct_raw_predict(requests=request_generator()) + + # Handle the response + async for response in stream: + print(response) + + Args: + requests (AsyncIterator[`google.cloud.aiplatform_v1.types.StreamDirectRawPredictRequest`]): + The request object AsyncIterator. Request message for + [PredictionService.StreamDirectRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectRawPredict]. + + The first message must contain + [endpoint][google.cloud.aiplatform.v1.StreamDirectRawPredictRequest.endpoint] + and + [method_name][google.cloud.aiplatform.v1.StreamDirectRawPredictRequest.method_name] + fields and optionally + [input][google.cloud.aiplatform.v1.StreamDirectRawPredictRequest.input]. + The subsequent messages must contain + [input][google.cloud.aiplatform.v1.StreamDirectRawPredictRequest.input]. + [method_name][google.cloud.aiplatform.v1.StreamDirectRawPredictRequest.method_name] + in the subsequent messages have no effect. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + AsyncIterable[google.cloud.aiplatform_v1.types.StreamDirectRawPredictResponse]: + Response message for + [PredictionService.StreamDirectRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectRawPredict]. + + """ + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.stream_direct_raw_predict + ] + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = rpc( + requests, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def streaming_predict( + self, + requests: Optional[ + AsyncIterator[prediction_service.StreamingPredictRequest] + ] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> Awaitable[AsyncIterable[prediction_service.StreamingPredictResponse]]: + r"""Perform a streaming online prediction request for + Vertex first-party products and frameworks. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_streaming_predict(): + # Create a client + client = aiplatform_v1.PredictionServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.StreamingPredictRequest( + endpoint="endpoint_value", + ) + + # This method expects an iterator which contains + # 'aiplatform_v1.StreamingPredictRequest' objects + # Here we create a generator that yields a single `request` for + # demonstrative purposes. + requests = [request] + + def request_generator(): + for request in requests: + yield request + + # Make the request + stream = await client.streaming_predict(requests=request_generator()) + + # Handle the response + async for response in stream: + print(response) + + Args: + requests (AsyncIterator[`google.cloud.aiplatform_v1.types.StreamingPredictRequest`]): + The request object AsyncIterator. Request message for + [PredictionService.StreamingPredict][google.cloud.aiplatform.v1.PredictionService.StreamingPredict]. + + The first message must contain + [endpoint][google.cloud.aiplatform.v1.StreamingPredictRequest.endpoint] + field and optionally [input][]. The subsequent messages + must contain [input][]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + AsyncIterable[google.cloud.aiplatform_v1.types.StreamingPredictResponse]: + Response message for + [PredictionService.StreamingPredict][google.cloud.aiplatform.v1.PredictionService.StreamingPredict]. + + """ + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.streaming_predict + ] + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = rpc( + requests, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def server_streaming_predict( + self, + request: Optional[ + Union[prediction_service.StreamingPredictRequest, dict] + ] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> Awaitable[AsyncIterable[prediction_service.StreamingPredictResponse]]: + r"""Perform a server-side streaming online prediction + request for Vertex LLM streaming. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_server_streaming_predict(): + # Create a client + client = aiplatform_v1.PredictionServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.StreamingPredictRequest( + endpoint="endpoint_value", + ) + + # Make the request + stream = await client.server_streaming_predict(request=request) + + # Handle the response + async for response in stream: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.StreamingPredictRequest, dict]]): + The request object. Request message for + [PredictionService.StreamingPredict][google.cloud.aiplatform.v1.PredictionService.StreamingPredict]. + + The first message must contain + [endpoint][google.cloud.aiplatform.v1.StreamingPredictRequest.endpoint] + field and optionally [input][]. The subsequent messages + must contain [input][]. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + AsyncIterable[google.cloud.aiplatform_v1.types.StreamingPredictResponse]: + Response message for + [PredictionService.StreamingPredict][google.cloud.aiplatform.v1.PredictionService.StreamingPredict]. + + """ + # Create or coerce a protobuf request object. + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, prediction_service.StreamingPredictRequest): + request = prediction_service.StreamingPredictRequest(request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.server_streaming_predict + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("endpoint", request.endpoint),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def streaming_raw_predict( + self, + requests: Optional[ + AsyncIterator[prediction_service.StreamingRawPredictRequest] + ] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> Awaitable[AsyncIterable[prediction_service.StreamingRawPredictResponse]]: + r"""Perform a streaming online prediction request through + gRPC. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_streaming_raw_predict(): + # Create a client + client = aiplatform_v1.PredictionServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.StreamingRawPredictRequest( + endpoint="endpoint_value", + ) + + # This method expects an iterator which contains + # 'aiplatform_v1.StreamingRawPredictRequest' objects + # Here we create a generator that yields a single `request` for + # demonstrative purposes. + requests = [request] + + def request_generator(): + for request in requests: + yield request + + # Make the request + stream = await client.streaming_raw_predict(requests=request_generator()) + + # Handle the response + async for response in stream: + print(response) + + Args: + requests (AsyncIterator[`google.cloud.aiplatform_v1.types.StreamingRawPredictRequest`]): + The request object AsyncIterator. Request message for + [PredictionService.StreamingRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamingRawPredict]. + + The first message must contain + [endpoint][google.cloud.aiplatform.v1.StreamingRawPredictRequest.endpoint] + and + [method_name][google.cloud.aiplatform.v1.StreamingRawPredictRequest.method_name] + fields and optionally + [input][google.cloud.aiplatform.v1.StreamingRawPredictRequest.input]. + The subsequent messages must contain + [input][google.cloud.aiplatform.v1.StreamingRawPredictRequest.input]. + [method_name][google.cloud.aiplatform.v1.StreamingRawPredictRequest.method_name] + in the subsequent messages have no effect. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + AsyncIterable[google.cloud.aiplatform_v1.types.StreamingRawPredictResponse]: + Response message for + [PredictionService.StreamingRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamingRawPredict]. + + """ + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.streaming_raw_predict + ] + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = rpc( + requests, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def explain( + self, + request: Optional[Union[prediction_service.ExplainRequest, dict]] = None, + *, + endpoint: Optional[str] = None, + instances: Optional[MutableSequence[struct_pb2.Value]] = None, + parameters: Optional[struct_pb2.Value] = None, + deployed_model_id: Optional[str] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> prediction_service.ExplainResponse: + r"""Perform an online explanation. + + If + [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id] + is specified, the corresponding DeployModel must have + [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] + populated. If + [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id] + is not specified, all DeployedModels must have + [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] + populated. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_explain(): + # Create a client + client = aiplatform_v1.PredictionServiceAsyncClient() + + # Initialize request argument(s) + instances = aiplatform_v1.Value() + instances.null_value = "NULL_VALUE" + + request = aiplatform_v1.ExplainRequest( + endpoint="endpoint_value", + instances=instances, + ) + + # Make the request + response = await client.explain(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.ExplainRequest, dict]]): + The request object. Request message for + [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]. + endpoint (:class:`str`): + Required. The name of the Endpoint requested to serve + the explanation. Format: + ``projects/{project}/locations/{location}/endpoints/{endpoint}`` + + This corresponds to the ``endpoint`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + instances (:class:`MutableSequence[google.protobuf.struct_pb2.Value]`): + Required. The instances that are the input to the + explanation call. A DeployedModel may have an upper + limit on the number of instances it supports per + request, and when it is exceeded the explanation call + errors in case of AutoML Models, or, in case of customer + created Models, the behaviour is as documented by that + Model. The schema of any single instance may be + specified via Endpoint's DeployedModels' + [Model's][google.cloud.aiplatform.v1.DeployedModel.model] + [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata] + [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]. + + This corresponds to the ``instances`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + parameters (:class:`google.protobuf.struct_pb2.Value`): + The parameters that govern the prediction. The schema of + the parameters may be specified via Endpoint's + DeployedModels' [Model's + ][google.cloud.aiplatform.v1.DeployedModel.model] + [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata] + [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]. + + This corresponds to the ``parameters`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + deployed_model_id (:class:`str`): + If specified, this ExplainRequest will be served by the + chosen DeployedModel, overriding + [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split]. + + This corresponds to the ``deployed_model_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.ExplainResponse: + Response message for + [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [endpoint, instances, parameters, deployed_model_id] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, prediction_service.ExplainRequest): + request = prediction_service.ExplainRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if endpoint is not None: + request.endpoint = endpoint + if parameters is not None: + request.parameters = parameters + if deployed_model_id is not None: + request.deployed_model_id = deployed_model_id + if instances: + request.instances.extend(instances) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[self._client._transport.explain] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("endpoint", request.endpoint),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def generate_content( + self, + request: Optional[ + Union[prediction_service.GenerateContentRequest, dict] + ] = None, + *, + model: Optional[str] = None, + contents: Optional[MutableSequence[content.Content]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> prediction_service.GenerateContentResponse: + r"""Generate content with multimodal inputs. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_generate_content(): + # Create a client + client = aiplatform_v1.PredictionServiceAsyncClient() + + # Initialize request argument(s) + contents = aiplatform_v1.Content() + contents.parts.text = "text_value" + + request = aiplatform_v1.GenerateContentRequest( + model="model_value", + contents=contents, + ) + + # Make the request + response = await client.generate_content(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GenerateContentRequest, dict]]): + The request object. Request message for [PredictionService.GenerateContent]. + model (:class:`str`): + Required. The fully qualified name of the publisher + model or tuned model endpoint to use. + + Publisher model format: + ``projects/{project}/locations/{location}/publishers/*/models/*`` + + Tuned model endpoint format: + ``projects/{project}/locations/{location}/endpoints/{endpoint}`` + + This corresponds to the ``model`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + contents (:class:`MutableSequence[google.cloud.aiplatform_v1.types.Content]`): + Required. The content of the current + conversation with the model. + For single-turn queries, this is a + single instance. For multi-turn queries, + this is a repeated field that contains + conversation history + latest request. + + This corresponds to the ``contents`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.GenerateContentResponse: + Response message for + [PredictionService.GenerateContent]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [model, contents] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, prediction_service.GenerateContentRequest): + request = prediction_service.GenerateContentRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if model is not None: + request.model = model + if contents: + request.contents.extend(contents) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.generate_content + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("model", request.model),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def stream_generate_content( + self, + request: Optional[ + Union[prediction_service.GenerateContentRequest, dict] + ] = None, + *, + model: Optional[str] = None, + contents: Optional[MutableSequence[content.Content]] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> Awaitable[AsyncIterable[prediction_service.GenerateContentResponse]]: + r"""Generate content with multimodal inputs with + streaming support. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_stream_generate_content(): + # Create a client + client = aiplatform_v1.PredictionServiceAsyncClient() + + # Initialize request argument(s) + contents = aiplatform_v1.Content() + contents.parts.text = "text_value" + + request = aiplatform_v1.GenerateContentRequest( + model="model_value", + contents=contents, + ) + + # Make the request + stream = await client.stream_generate_content(request=request) + + # Handle the response + async for response in stream: + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.GenerateContentRequest, dict]]): + The request object. Request message for [PredictionService.GenerateContent]. + model (:class:`str`): + Required. The fully qualified name of the publisher + model or tuned model endpoint to use. + + Publisher model format: + ``projects/{project}/locations/{location}/publishers/*/models/*`` + + Tuned model endpoint format: + ``projects/{project}/locations/{location}/endpoints/{endpoint}`` + + This corresponds to the ``model`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + contents (:class:`MutableSequence[google.cloud.aiplatform_v1.types.Content]`): + Required. The content of the current + conversation with the model. + For single-turn queries, this is a + single instance. For multi-turn queries, + this is a repeated field that contains + conversation history + latest request. + + This corresponds to the ``contents`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + AsyncIterable[google.cloud.aiplatform_v1.types.GenerateContentResponse]: + Response message for + [PredictionService.GenerateContent]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [model, contents] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, prediction_service.GenerateContentRequest): + request = prediction_service.GenerateContentRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if model is not None: + request.model = model + if contents: + request.contents.extend(contents) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.stream_generate_content + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("model", request.model),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def embed_content( + self, + request: Optional[Union[prediction_service.EmbedContentRequest, dict]] = None, + *, + model: Optional[str] = None, + content: Optional[gca_content.Content] = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> prediction_service.EmbedContentResponse: + r"""Embed content with multimodal inputs. + + .. code-block:: python + + # This snippet has been automatically generated and should be regarded as a + # code template only. + # It will require modifications to work: + # - It may require correct/in-range values for request initialization. + # - It may require specifying regional endpoints when creating the service + # client as shown in: + # https://googleapis.dev/python/google-api-core/latest/client_options.html + from google.cloud import aiplatform_v1 + + async def sample_embed_content(): + # Create a client + client = aiplatform_v1.PredictionServiceAsyncClient() + + # Initialize request argument(s) + request = aiplatform_v1.EmbedContentRequest( + ) + + # Make the request + response = await client.embed_content(request=request) + + # Handle the response + print(response) + + Args: + request (Optional[Union[google.cloud.aiplatform_v1.types.EmbedContentRequest, dict]]): + The request object. Request message for + [PredictionService.EmbedContent][google.cloud.aiplatform.v1.PredictionService.EmbedContent]. + model (:class:`str`): + Required. The name of the publisher model requested to + serve the prediction. Format: + ``projects/{project}/locations/{location}/publishers/*/models/*`` + + This corresponds to the ``model`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + content (:class:`google.cloud.aiplatform_v1.types.Content`): + Required. Input content to be + embedded. + + This corresponds to the ``content`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + + Returns: + google.cloud.aiplatform_v1.types.EmbedContentResponse: + Response message for + [PredictionService.EmbedContent][google.cloud.aiplatform.v1.PredictionService.EmbedContent]. + + """ + # Create or coerce a protobuf request object. + # - Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + flattened_params = [model, content] + has_flattened_params = ( + len([param for param in flattened_params if param is not None]) > 0 + ) + if request is not None and has_flattened_params: + raise ValueError( + "If the `request` argument is set, then none of " + "the individual field arguments should be set." + ) + + # - Use the request object if provided (there's no risk of modifying the input as + # there are no flattened fields), or create one. + if not isinstance(request, prediction_service.EmbedContentRequest): + request = prediction_service.EmbedContentRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if model is not None: + request.model = model + if content is not None: + request.content = content + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._client._transport._wrapped_methods[ + self._client._transport.embed_content + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("model", request.model),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_operations( + self, + request: Optional[operations_pb2.ListOperationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.ListOperationsResponse: + r"""Lists operations that match the specified filter in the request. + + Args: + request (:class:`~.operations_pb2.ListOperationsRequest`): + The request object. Request message for + `ListOperations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.ListOperationsResponse: + Response message for ``ListOperations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.ListOperationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_operations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_operation( + self, + request: Optional[operations_pb2.GetOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Gets the latest state of a long-running operation. + + Args: + request (:class:`~.operations_pb2.GetOperationRequest`): + The request object. Request message for + `GetOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.GetOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def delete_operation( + self, + request: Optional[operations_pb2.DeleteOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Deletes a long-running operation. + + This method indicates that the client is no longer interested + in the operation result. It does not cancel the operation. + If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.DeleteOperationRequest`): + The request object. Request message for + `DeleteOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.DeleteOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.delete_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def cancel_operation( + self, + request: Optional[operations_pb2.CancelOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> None: + r"""Starts asynchronous cancellation on a long-running operation. + + The server makes a best effort to cancel the operation, but success + is not guaranteed. If the server doesn't support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.CancelOperationRequest`): + The request object. Request message for + `CancelOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + None + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.CancelOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + async def wait_operation( + self, + request: Optional[operations_pb2.WaitOperationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> operations_pb2.Operation: + r"""Waits until the specified long-running operation is done or reaches at most + a specified timeout, returning the latest state. + + If the operation is already done, the latest state is immediately returned. + If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC + timeout is used. If the server does not support this method, it returns + `google.rpc.Code.UNIMPLEMENTED`. + + Args: + request (:class:`~.operations_pb2.WaitOperationRequest`): + The request object. Request message for + `WaitOperation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.operations_pb2.Operation: + An ``Operation`` object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = operations_pb2.WaitOperationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.wait_operation] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def set_iam_policy( + self, + request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Sets the IAM access control policy on the specified function. + + Replaces any existing policy. + + Args: + request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): + The request object. Request message for `SetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.SetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.set_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_iam_policy( + self, + request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> policy_pb2.Policy: + r"""Gets the IAM access control policy for a function. + + Returns an empty policy if the function exists and does not have a + policy set. + + Args: + request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): + The request object. Request message for `GetIamPolicy` + method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if + any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.policy_pb2.Policy: + Defines an Identity and Access Management (IAM) policy. + It is used to specify access control policies for Cloud + Platform resources. + A ``Policy`` is a collection of ``bindings``. A + ``binding`` binds one or more ``members`` to a single + ``role``. Members can be user accounts, service + accounts, Google groups, and domains (such as G Suite). + A ``role`` is a named list of permissions (defined by + IAM or configured by users). A ``binding`` can + optionally specify a ``condition``, which is a logic + expression that further constrains the role binding + based on attributes about the request and/or target + resource. + + **JSON Example** + + :: + + { + "bindings": [ + { + "role": "roles/resourcemanager.organizationAdmin", + "members": [ + "user:mike@example.com", + "group:admins@example.com", + "domain:google.com", + "serviceAccount:my-project-id@appspot.gserviceaccount.com" + ] + }, + { + "role": "roles/resourcemanager.organizationViewer", + "members": ["user:eve@example.com"], + "condition": { + "title": "expirable access", + "description": "Does not grant access after Sep 2020", + "expression": "request.time < + timestamp('2020-10-01T00:00:00.000Z')", + } + } + ] + } + + **YAML Example** + + :: + + bindings: + - members: + - user:mike@example.com + - group:admins@example.com + - domain:google.com + - serviceAccount:my-project-id@appspot.gserviceaccount.com + role: roles/resourcemanager.organizationAdmin + - members: + - user:eve@example.com + role: roles/resourcemanager.organizationViewer + condition: + title: expirable access + description: Does not grant access after Sep 2020 + expression: request.time < timestamp('2020-10-01T00:00:00.000Z') + + For a description of IAM and its features, see the `IAM + developer's + guide `__. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.GetIamPolicyRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_iam_policy] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def test_iam_permissions( + self, + request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> iam_policy_pb2.TestIamPermissionsResponse: + r"""Tests the specified IAM permissions against the IAM access control + policy for a function. + + If the function does not exist, this will return an empty set + of permissions, not a NOT_FOUND error. + + Args: + request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): + The request object. Request message for + `TestIamPermissions` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.iam_policy_pb2.TestIamPermissionsResponse: + Response message for ``TestIamPermissions`` method. + """ + # Create or coerce a protobuf request object. + + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = iam_policy_pb2.TestIamPermissionsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[ + self._client._transport.test_iam_permissions + ] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_location( + self, + request: Optional[locations_pb2.GetLocationRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.Location: + r"""Gets information about a location. + + Args: + request (:class:`~.location_pb2.GetLocationRequest`): + The request object. Request message for + `GetLocation` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.Location: + Location object. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.GetLocationRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.get_location] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def list_locations( + self, + request: Optional[locations_pb2.ListLocationsRequest] = None, + *, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: Union[float, object] = gapic_v1.method.DEFAULT, + metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), + ) -> locations_pb2.ListLocationsResponse: + r"""Lists information about the supported locations for this service. + + Args: + request (:class:`~.location_pb2.ListLocationsRequest`): + The request object. Request message for + `ListLocations` method. + retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, + if any, should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be + sent along with the request as metadata. Normally, each value must be of type `str`, + but for metadata keys ending with the suffix `-bin`, the corresponding values must + be of type `bytes`. + Returns: + ~.location_pb2.ListLocationsResponse: + Response message for ``ListLocations`` method. + """ + # Create or coerce a protobuf request object. + # The request isn't a proto-plus wrapped type, + # so it must be constructed via keyword expansion. + if isinstance(request, dict): + request = locations_pb2.ListLocationsRequest(**request) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self.transport._wrapped_methods[self._client._transport.list_locations] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), + ) + + # Validate the universe domain. + self._client._validate_universe_domain() + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self) -> "PredictionServiceAsyncClient": + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + + +DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=package_version.__version__ +) + +if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER + DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ + + +__all__ = ("PredictionServiceAsyncClient",) diff --git a/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/prediction_service/client.py b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/prediction_service/client.py new file mode 100644 index 0000000000000000000000000000000000000000..31057734879a8867fe4ddf02071e2ffbaa11ae0d --- /dev/null +++ b/data/conda_envs/evalclaw/lib/python3.11/site-packages/google/cloud/aiplatform_v1/services/prediction_service/client.py @@ -0,0 +1,3331 @@ +# -*- coding: utf-8 -*- +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from http import HTTPStatus +import json +import logging as std_logging +import os +import re +from typing import ( + Dict, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Optional, + Iterable, + Iterator, + Sequence, + Tuple, + Type, + Union, + cast, +) +import warnings + +from google.cloud.aiplatform_v1 import gapic_version as package_version + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore +import google.protobuf + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object, None] # type: ignore + +try: + from google.api_core import client_logging # type: ignore + + CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER +except ImportError: # pragma: NO COVER + CLIENT_LOGGING_SUPPORTED = False + +_LOGGER = std_logging.getLogger(__name__) + +from google.cloud.aiplatform_v1.types import content +from google.cloud.aiplatform_v1.types import content as gca_content +from google.cloud.aiplatform_v1.types import explanation +from google.cloud.aiplatform_v1.types import prediction_service +from google.cloud.aiplatform_v1.types import types +from google.cloud.aiplatform_v1.types import usage_metadata +from google.cloud.location import locations_pb2 # type: ignore +from google.iam.v1 import iam_policy_pb2 # type: ignore +from google.iam.v1 import policy_pb2 # type: ignore +from google.longrunning import operations_pb2 # type: ignore +import google.api.httpbody_pb2 as httpbody_pb2 # type: ignore +import google.protobuf.any_pb2 as any_pb2 # type: ignore +import google.protobuf.struct_pb2 as struct_pb2 # type: ignore +import google.protobuf.timestamp_pb2 as timestamp_pb2 # type: ignore +from .transports.base import PredictionServiceTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import PredictionServiceGrpcTransport +from .transports.grpc_asyncio import PredictionServiceGrpcAsyncIOTransport +from .transports.rest import PredictionServiceRestTransport + +try: + from .transports.rest_asyncio import AsyncPredictionServiceRestTransport + + HAS_ASYNC_REST_DEPENDENCIES = True +except ImportError as e: # pragma: NO COVER + HAS_ASYNC_REST_DEPENDENCIES = False + ASYNC_REST_EXCEPTION = e + + +class PredictionServiceClientMeta(type): + """Metaclass for the PredictionService client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + + _transport_registry = ( + OrderedDict() + ) # type: Dict[str, Type[PredictionServiceTransport]] + _transport_registry["grpc"] = PredictionServiceGrpcTransport + _transport_registry["grpc_asyncio"] = PredictionServiceGrpcAsyncIOTransport + _transport_registry["rest"] = PredictionServiceRestTransport + if HAS_ASYNC_REST_DEPENDENCIES: # pragma: NO COVER + _transport_registry["rest_asyncio"] = AsyncPredictionServiceRestTransport + + def get_transport_class( + cls, + label: Optional[str] = None, + ) -> Type[PredictionServiceTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if ( + label == "rest_asyncio" and not HAS_ASYNC_REST_DEPENDENCIES + ): # pragma: NO COVER + raise ASYNC_REST_EXCEPTION + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class PredictionServiceClient(metaclass=PredictionServiceClientMeta): + """A service for online predictions and explanations.""" + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. + DEFAULT_ENDPOINT = "aiplatform.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + _DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.{UNIVERSE_DOMAIN}" + _DEFAULT_UNIVERSE = "googleapis.com" + + @staticmethod + def _use_client_cert_effective(): + """Returns whether client certificate should be used for mTLS if the + google-auth version supports should_use_client_cert automatic mTLS enablement. + + Alternatively, read from the GOOGLE_API_USE_CLIENT_CERTIFICATE env var. + + Returns: + bool: whether client certificate should be used for mTLS + Raises: + ValueError: (If using a version of google-auth without should_use_client_cert and + GOOGLE_API_USE_CLIENT_CERTIFICATE is set to an unexpected value.) + """ + # check if google-auth version supports should_use_client_cert for automatic mTLS enablement + if hasattr(mtls, "should_use_client_cert"): # pragma: NO COVER + return mtls.should_use_client_cert() + else: # pragma: NO COVER + # if unsupported, fallback to reading from env var + use_client_cert_str = os.getenv( + "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false" + ).lower() + if use_client_cert_str not in ("true", "false"): + raise ValueError( + "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be" + " either `true` or `false`" + ) + return use_client_cert_str == "true" + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + PredictionServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + PredictionServiceClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file(filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> PredictionServiceTransport: + """Returns the transport used by the client instance. + + Returns: + PredictionServiceTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def cached_content_path( + project: str, + location: str, + cached_content: str, + ) -> str: + """Returns a fully-qualified cached_content string.""" + return "projects/{project}/locations/{location}/cachedContents/{cached_content}".format( + project=project, + location=location, + cached_content=cached_content, + ) + + @staticmethod + def parse_cached_content_path(path: str) -> Dict[str, str]: + """Parses a cached_content path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/cachedContents/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def endpoint_path( + project: str, + location: str, + endpoint: str, + ) -> str: + """Returns a fully-qualified endpoint string.""" + return "projects/{project}/locations/{location}/endpoints/{endpoint}".format( + project=project, + location=location, + endpoint=endpoint, + ) + + @staticmethod + def parse_endpoint_path(path: str) -> Dict[str, str]: + """Parses a endpoint path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/endpoints/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def model_path( + project: str, + location: str, + model: str, + ) -> str: + """Returns a fully-qualified model string.""" + return "projects/{project}/locations/{location}/models/{model}".format( + project=project, + location=location, + model=model, + ) + + @staticmethod + def parse_model_path(path: str) -> Dict[str, str]: + """Parses a model path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/models/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def rag_corpus_path( + project: str, + location: str, + rag_corpus: str, + ) -> str: + """Returns a fully-qualified rag_corpus string.""" + return "projects/{project}/locations/{location}/ragCorpora/{rag_corpus}".format( + project=project, + location=location, + rag_corpus=rag_corpus, + ) + + @staticmethod + def parse_rag_corpus_path(path: str) -> Dict[str, str]: + """Parses a rag_corpus path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/ragCorpora/(?P.+?)$", + path, + ) + return m.groupdict() if m else {} + + @staticmethod + def template_path( + project: str, + location: str, + template: str, + ) -> str: + """Returns a fully-qualified template string.""" + return "projects/{project}/locations/{location}/templates/{template}".format( + project=project, + location=location, + template=template, + ) + + @staticmethod + def parse_template_path(path: str) -> Dict[str, str]: + """Parses a template path into its component segments.""" + m = re.match( + r"^projects/(?P.+?)/locations/(?P.+?)/templates/(?P